15 Best AI Tools for Cybersecurity in 2025 (Advanced Threat Detection)

By Aditya Shastri

Updated on Dec 11, 2025

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In 2025, AI-powered cybersecurity tools will have become essential for organisations fighting increasingly sophisticated cyber threats. Leading platforms like Darktrace excel at self-learning threat detection. At the same time, CrowdStrike Falcon combines endpoint protection with behavioural analytics, and Microsoft Security Copilot uses natural language processing for faster incident investigation. These tools leverage machine learning and behavioural analysis to identify zero-day threats, reduce false positives by up to 95%, and automate response actions in milliseconds.

Whether you need network detection and response, vulnerability management, or cloud security, AI tools for cybersecurity now provide comprehensive protection across hybrid and multi-cloud environments.

The cybersecurity landscape is evolving at an unprecedented pace. In 2025, organisations worldwide are increasingly investing in AI-powered security solutions to combat sophisticated threats that traditional tools can't detect. According to the latest industry data, global cybersecurity spending is expected to reach $212 billion by 2025, with security software representing the largest and fastest-growing segment, experiencing 14.4% annual growth. More than 56% of organisations now report that AI has significantly improved their ability to prioritise threats and vulnerabilities, while 51% have experienced increased SOC efficiency as a result of AI adoption.

The challenge isn't just the volume of threats, it's their sophistication. Attackers are utilising AI to develop adaptive malware, zero-day exploits, and AI-generated phishing campaigns that evade conventional security measures. At the same time, insider threats and credential theft incidents are on the rise, with 51% of organisations experiencing at least one cyberattack in the past year. This is where AI-powered cybersecurity tools come into play. These intelligent platforms analyse billions of security events, detect anomalies in real-time, and respond to threats faster than any human team could manage alone.

In this comprehensive guide, you'll discover the 15 best AI tools for cybersecurity in 2025, each carefully selected for their advanced threat detection capabilities, innovative features, and proven effectiveness in protecting enterprises of all sizes. Whether you're a mid-sized business seeking foundational protection or a large enterprise managing complex hybrid infrastructure, these tools are transforming how organisations defend against cyber threats.

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15 Best AI Tools for Cybersecurity: Features and Pricing

AI Tool Name Best For Free Version Starting Price
Darktrace Self-learning AI threat detection No Custom Pricing
CrowdStrike Falcon Endpoint protection & EDR No $70/endpoint/year
Microsoft Security Copilot Natural language security investigation Limited Custom Pricing
SentinelOne Singularity AI-powered endpoint security No $69.99/endpoint/year
Palo Alto Cortex XDR Extended detection & response No $70/endpoint/year
Splunk Enterprise Security SIEM & threat detection No Custom Pricing
Vectra AI Network detection & response No Custom Pricing
IBM Guardium Data security & AI model protection No Custom Pricing
Fortinet FortiGate AI Threat detection & network security No Custom Pricing
Rapid7 InsightIDR Cloud-native SIEM & XDR No Custom Pricing
Qualys Vulnerability Management Cloud vulnerability scanning Limited Custom Pricing
Wiz Cloud Security Cloud risk detection No Custom Pricing
Cylance AI Predictive malware prevention No Custom Pricing
Abnormal AI Behavioural email security No Custom Pricing
Tenable Nessus with AI AI-powered vulnerability management Limited $2,590/year

Note: Prices are indicative and subject to change; please verify with the official vendor.

1. Darktrace

Darktrace - Best Ai Tools for Cybersecurity in 2025

Darktrace is a pioneer in AI-powered cybersecurity, employing self-learning artificial intelligence to detect and respond to cyber threats in real-time. This innovative platform uniquely establishes a baseline of normal network behaviour, enabling it to identify and mitigate both known and novel threats autonomously. Unlike traditional security tools that rely on predefined signatures, Darktrace's Enterprise Immune System continuously learns from your organisation's unique network patterns, making it exceptionally effective at catching zero-day exploits and previously unseen attack techniques.

Best For: Large enterprises requiring autonomous threat detection and real-time response capabilities

Key Features:

  • Self-Learning AI: Establishes baseline behaviour and continuously identifies anomalies without manual rule creation
  • Threat Visualizer: Provides real-time visual representations of your network threats and attack progression
  • Antigena Autonomous Response: Automatically triggers containment measures like blocking malicious connections and revoking compromised credentials
  • Zero-Day Detection: Identifies previously unknown threats by analysing subtle behavioural changes invisible to conventional tools
  • Behavioural Analytics: Detects insider threats and lateral movements by monitoring user and entity behaviour patterns
  • Cloud & Endpoint Coverage: Extends protection across cloud environments, networks, and endpoints from a unified platform
  • Compliance Reporting: Automates reporting for regulatory requirements, including GDPR, HIPAA, and PCI-DSS

Pros:

  • Exceptional zero-day threat detection with minimal false positives compared to traditional tools
  • Autonomous response capabilities dramatically reduce incident response times from hours to milliseconds
  • Seamless integration with existing security infrastructure, including SIEMs and incident management platforms

Cons:

  • Requires a significant initial tuning period for the AI to learn your network baseline accurately
  • Custom pricing model makes budget forecasting difficult for smaller organisations
  • Steep learning curve for teams unfamiliar with self-learning AI concepts

Pricing:

  • Free Plan: Not available
  • Paid Plans: Starting at custom enterprise pricing; median contract values around $52,800 annually
  • Best Value: Enterprise package with autonomous response capabilities for organisations with $50M+ revenue

Use Darktrace For:

Organisations require military-grade autonomous threat detection that learns and adapts to your unique network environment without manual intervention.

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2. CrowdStrike Falcon

CrowdStrike Falcon - Best Ai Tools for Cybersecurity in 2025

CrowdStrike Falcon is the cloud-delivered endpoint protection platform that unifies next-generation antivirus, endpoint detection and response (EDR), and managed threat hunting into a single lightweight agent. The platform is powered by cloud-scale AI running on Falcon's proprietary Threat Graph database, which processes signals from over 50 million endpoints worldwide. This unparalleled visibility enables Falcon to stop breaches before they happen, delivering protection that's both comprehensive and lightweight on system resources.

Best For: Mid-to-large enterprises requiring unified endpoint protection with managed threat hunting services

Key Features:

  • AI-Powered Threat Graph: Analyses billions of security signals daily to identify emerging threats and attack patterns
  • Behavioural Analytics: Uses machine learning to detect malware, ransomware, and suspicious activities based on behaviour, not just signatures
  • Real-Time Threat Intelligence: Integrates threat intelligence from millions of endpoints to provide immediate context on emerging threats
  • Cloud-Delivered Architecture: No infrastructure required; secure cloud management console eliminates on-premises complexity
  • Ransomware Prevention: Specialized AI models detect and block ransomware variants before encryption occurs
  • Identity Threat Detection: Monitors compromised credentials and suspicious authentication patterns across your environment
  • Managed Threat Hunting: 24/7 expert hunting services included in premium tiers, proactively searching for threats

Pros:

  • Lightweight agent minimizes system impact while maintaining comprehensive endpoint visibility
  • Exceptional ransomware and malware prevention with minimal false positives due to behavioural AI
  • Fastest time-to-value with immediate protection from day one of deployment

Cons:

  • Premium tiers with managed threat hunting services significantly increase per-endpoint costs
  • Requires all endpoints to have internet connectivity for cloud-based agent operation
  • Alert volume can overwhelm smaller security teams without additional SOC support

Pricing:

  • Free Plan: Not available
  • Paid Plans: Starting at $70/endpoint/year for Falcon Pro through $299/endpoint for Falcon Complete with breach prevention warranty
  • Best Value: Falcon Enterprise for organisations seeking EDR with managed threat hunting at $150-200/endpoint annually

Use CrowdStrike Falcon For:

Organisations seeking cloud-delivered endpoint protection that combines NGAV, EDR, and managed hunting in a single lightweight agent.

3. Microsoft Security Copilot

Microsoft Security Copilot - Best Ai Tools for Cybersecurity in 2025

Microsoft Security Copilot is a groundbreaking generative AI assistant specifically designed for cybersecurity professionals. Built on OpenAI's GPT-4 and enhanced with Microsoft's vast security-specific knowledge derived from trillions of daily signals, this tool transforms how security teams investigate incidents and analyse threats. Security analysts can ask natural language questions about security events, and Copilot provides comprehensive analysis, threat assessment, and remediation recommendations in seconds rather than hours.

Best For: Organisations using Microsoft security products seeking faster incident investigation and threat analysis

Key Features:

  • Natural Language Queries: Ask security questions in plain English; Copilot interprets and provides expert analysis
  • Incident Summarisation: Automatically generates comprehensive incident reports with root cause analysis and containment steps
  • Threat Intelligence Integration: Accesses Microsoft's 65 trillion daily signals and curated threat intelligence for context-rich analysis
  • Log File Analysis: Rapidly analyses Excel and CSV-formatted logs to extract actionable security insights
  • Policy Generation: Creates security policies based on best practices and your organization's specific environment
  • Identity Risk Investigation: Identifies overprivileged accounts and suspicious authentication patterns
  • Compliance Monitoring: Assesses your organization's compliance posture against industry standards and generates remediation guidance
  • Threat Hunting Support: Develops hunting hypotheses using proven attacker tactics from MITRE ATT&CK framework

Pros:

  • Dramatically accelerates incident investigation from hours to minutes through natural language analysis
  • Seamlessly integrates with Microsoft Defender, Sentinel, and Entra ID for unified visibility
  • Reduces SOC analyst workload by automating report generation and triage decisions

Cons:

  • Effectiveness depends heavily on the quality and format of the input data provided
  • Currently limited to the Microsoft ecosystem; limited third-party tool integration
  • Requires Microsoft security product licenses, making it a Microsoft-dependent solution

Pricing:

  • Free Plan: Limited preview access (subject to availability)
  • Paid Plans: Custom enterprise pricing; included with select Microsoft security solutions
  • Best Value: Included with enterprise Microsoft security licenses when bundled with Defender and Sentinel

Use Microsoft Security Copilot For:

Microsoft-centric organisations seeking to dramatically accelerate incident investigation through natural language generative AI.

4. SentinelOne Singularity

SentinelOne Singularity - Best Ai Tools for Cybersecurity in 2025

SentinelOne Singularity is an AI-powered security platform that unifies endpoint protection, cloud workload security, and identity threat detection into a single autonomous XDR solution. Using military-grade AI and predictive execution inspection, Singularity detects and blocks both known and unknown threats in real-time. The platform's autonomous response capabilities eliminate the need for human intervention in many cases, enabling security teams to stop attacks before they progress beyond the initial stages.

Best For: Mid-sized to large enterprises requiring autonomous endpoint and cloud security with minimal human intervention

Key Features:

  • AI Security Assistant: Provides autonomous threat prioritization, triage, and recommended actions for security teams
  • Autonomous Response: Automatically isolates compromised endpoints, disables accounts, and blocks malicious activity without manual intervention
  • Cloud Workload Protection: Extends AI-powered protection to cloud environments, including containerised workloads
  • Identity Threat Detection: Monitors identity systems for suspicious activities like credential misuse and lateral movement
  • Military-Grade AI: Uses predictive threat prevention trained on billions of malware samples and attack patterns
  • Managed Threat Hunting: Professional threat hunters proactively search for threats in your environment (premium tier)
  • 360-Degree EDR: Unified view of endpoint, cloud, and identity threats across your entire organization

Pros:

  • Exceptional zero-day and unknown malware detection with minimal impact on system performance
  • Autonomous response capabilities reduce response time from hours to milliseconds
  • Flexible SentinelOne Flex pricing model provides optimisation organisations with variable endpoint counts

Cons:

  • Entry-level pricing ($69.99/endpoint) doesn't include advanced features; significant step-up costs for the Complete and Commercial tiers
  • Channel-driven sales model creates wide variance in actual pricing ($2-$16 per endpoint, depending on negotiation)
  • Smaller organizations may find managed threat hunting services prohibitively expensive

Pricing:

  • Free Plan: Not available
  • Paid Plans: Singularity Core at $69.99/endpoint; Control at $79.99; Complete at $179.99; Commercial at $209.99; Enterprise custom pricing
  • Best Value: Singularity Complete for comprehensive autonomous security at ~$180/endpoint annually

Use SentinelOne For:

Organisations seeking fully autonomous endpoint and cloud security that prevents threats from causing damage.

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5. Palo Alto Networks Cortex XDR

Palo Alto Networks Cortex XDR - Best Ai Tools for Cybersecurity in 2025

Palo Alto Networks Cortex XDR is an extended detection and response platform that unifies endpoint, network, cloud, and identity threat data into a single integrated platform. Cortex XDR uses behavioural AI to identify the complete attack chain and provides root-cause analysis that reconstructs the entire sequence of events. This unified approach enables faster detection and more effective incident response compared to siloed point solutions.

Best For: Large enterprises with complex multi-layered attack surfaces requiring unified visibility across endpoints, networks, clouds, and identities

Key Features:

  • AI-Powered Root Cause Analysis: Traces complete attack chains and identifies the initial compromise point
  • Behavioural AI Detection: Detects zero-day and unknown threats through behavioural analysis of processes and network activity
  • Multi-Layer Threat Correlation: Connects endpoint, network, cloud, and identity events for complete attack visibility
  • Automated Investigation: Generates investigation summaries and recommended response actions
  • Threat Intelligence Integration: Incorporates Palo Alto's threat intelligence with customers' own indicators of compromise
  • Cloud & Identity Coverage: Extends XDR protection to cloud workloads and identity systems
  • Cortex Data Lake: Central data repository enabling advanced analytics and threat hunting capabilities
  • MITRE ATT&CK Framework Integration: Maps detected techniques to MITRE ATT&CK for security maturity assessment

Pros:

  • Industry-leading multi-layer correlation provides unmatched attack chain visibility
  • Excellent root-cause analysis capabilities accelerate investigation and containment
  • Seamless integration with Palo Alto's broader security ecosystem, including firewalls and cloud security

Cons:

  • Cortex XDR Pro pricing of $70+/endpoint annually adds significant cost for large environments
  • Requires integration with Palo Alto products for optimal effectiveness; less effective with competing platforms
  • Complex deployment and tuning for organisations with extremely large or diverse environments

Pricing:

  • Free Plan: Not available
  • Paid Plans: Cortex XDR Pro at $70/endpoint/year (includes 30 days of data retention); premium support available
  • Best Value: Cortex XDR Pro with 1TB Data Lake for organisations seeking unified multi-layer threat detection

Use Palo Alto Cortex XDR For:

Organisations require unified extended detection and response with powerful root-cause analysis across endpoints, networks, clouds, and identities.

6. Splunk Enterprise Security

Splunk Enterprise Security - Best Ai Tools for Cybersecurity in 2025

Splunk Enterprise Security is a unified threat detection, investigation, and response platform built on Splunk's industry-leading SIEM technology. In 2025, Splunk evolved into two distinct editions: Essentials for traditional SIEM and Premier for advanced TDIR capabilities, including agentic AI, SOAR automation, and UEBA. The platform ingests and correlates massive volumes of security data to detect sophisticated threats that would be invisible to traditional point solutions.

Best For: Large enterprises requiring advanced SIEM with AI-powered threat detection, investigation, and response automation

Key Features:

  • Real-Time Monitoring & Alerting: 24/7 analysis of security data with customizable alerts based on risk thresholds
  • Advanced Threat Detection: Machine learning identifies anomalies, suspicious patterns, and advanced persistent threat activity
  • UEBA Integration: User and entity behaviour analytics detect compromised accounts and insider threats
  • SOAR Automation: Automated playbooks execute response actions, reducing manual analyst workload by 50%+
  • Agentic AI (Premier): AI agents autonomously investigate alerts, perform triage, and recommend containment actions
  • Integration Ecosystem: Connects with 600+ security tools for centralised data collection and response orchestration
  • Compliance & Investigation: Pre-built dashboards and reports for regulatory compliance, including PCI-DSS, HIPAA, and  SOC2

Pros:

  • Industry-leading data correlation capabilities detect sophisticated multi-stage attacks that other platforms miss
  • Massive ecosystem of integrations enables centralised visibility across heterogeneous environments
  • Premier edition's agentic AI significantly reduces SOC team workload and improves response times

Cons:

  • Complex deployment requiring significant time and expertise for optimal configuration
  • Data ingestion costs can become prohibitive for high-volume environments with many data sources
  • Steep learning curve for teams transitioning from simpler SIEM solutions

Pricing:

  • Free Plan: Not available
  • Paid Plans: Custom enterprise pricing based on daily data volume ingestion (starting around $5,000+/month)
  • Best Value: Splunk Cloud Premier for organisations seeking unified SIEM+SOAR+UEBA+Agentic AI capabilities

Use Splunk Enterprise Security For:

Large enterprises require a comprehensive unified platform for threat detection, investigation, and automated response across their entire infrastructure.

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7. Vectra AI

VECTRA AI - Best AI Tools for Cyber Security in 2025

Vectra AI is the leader in Security AI-driven hybrid cloud threat detection and response. The platform continuously monitors human and non-human identities across on-premises AD, cloud identity systems like Entra ID, M365, Azure, and AWS. Using Attack Signal Intelligence, Vectra correlates attacker behaviours and tactics to reduce alert noise by over 80% while detecting threats that other tools miss.

Best for organisations with hybrid and multi-cloud environments seeking advanced network detection and identity threat detection

Key Features:

  • Attack Signal Intelligence: Detects and correlates attacker behaviours (TTPs) rather than just anomalies
  • AI-Driven Triage: Reduces alert noise by 80%+ through machine learning-powered triage that mimics security analyst intuition
  • AI-Driven Prioritisation: Automatically escalates threats that matter most to your business context
  • Identity Threat Detection: Continuous monitoring of human and non-human identities across hybrid cloud environments
  • Advanced Investigation: Streamlined investigation of M365 and AWS control plane logs to understand attack narratives
  • Ecosystem Integrations: Connects with SIEM, SOAR, and incident management platforms for automated correlation and response
  • Managed Services: 24/7/365 managed detection and response services with expert threat hunters
  • MITRE ATT&CK Coverage: Detects over 90% of MITRE ATT&CK techniques across hybrid cloud environments

Pros:

  • Exceptional accuracy in distinguishing real threats from false positives through behaviour-based correlation
  • Outstanding hybrid cloud coverage spanning on-premises, public cloud, and SaaS environments
  • Dramatic reduction in alert volume enables security teams to focus on genuinely critical threats

Cons:

  • Custom enterprise pricing with no published per-seat rates makes budget forecasting difficult
  • Requires integration with existing tools for maximum effectiveness
  • Managed services add significant cost but provide valuable 24/7 threat hunting

Pricing:

  • Free Plan: Not available
  • Paid Plans: Custom enterprise pricing; managed services available for 24/7 detection and response
  • Best Value: Platform + managed services for organisations lacking in-house threat hunting expertise

Use Vectra AI For:

Organisations require AI-driven hybrid cloud threat detection that correlates attacker behaviours rather than just flagging anomalies.

8. IBM Guardium

IBM Guardium - Best AI Tools for Cyber Security in 2025

IBM Guardium is a comprehensive data security platform protecting sensitive data across hybrid and multi-cloud environments. The 2025 update introduced IBM Guardium AI Security to detect vulnerable AI deployments and shadow AI models, plus IBM Guardium Quantum Safe for post-quantum cryptography preparation. The platform provides transparent database encryption, data access monitoring, and compliance automation.

Best For: Enterprises protecting sensitive data across databases, cloud environments, and increasingly, AI/ML deployments

Key Features:

  • AI Security & Governance: Detects shadow AI, identifies AI model vulnerabilities, and scans for sensitive data exposure
  • Database Encryption: Agentless transparent encryption for enterprise databases without performance overhead
  • Crypto-Agility Manager: Prepares your organisation for post-quantum cryptography through automated migration
  • Data Access Monitoring: Real-time monitoring of database access patterns detects data theft and insider threats
  • Compliance Automation: Automates compliance monitoring and reporting for GDPR, HIPAA, PCI-DSS, and other standards
  • Sensitive Data Discovery: Automatically discovers and classifies sensitive information across your environment
  • Multi-Cloud Support: Unified data security across on-premises, AWS, Azure, and Google Cloud platforms
  • Integrated Governance: Integrates with IBM WatsonX.governance for unified AI governance and risk management

Pros:

  • Only solution specifically addressing AI and shadow AI security in enterprise environments
  • Post-quantum cryptography readiness positions organisations for future security requirements
  • Agentless database encryption dramatically simplifies deployment without performance impact

Cons:

  • AI security capabilities are relatively new; they are still maturing compared to traditional database security features
  • Requires integration with existing IBM tools for optimal effectiveness
  • Custom enterprise pricing requires direct vendor engagement

Pricing:

  • Free Plan: Not available
  • Paid Plans: Custom enterprise pricing based on deployment scope and modules selected
  • Best Value: Data Security Centre, combining traditional database security with AI security and quantum-safe capabilities

Use IBM Guardium for

Organisations need to prioritise data security and compliance while also protecting emerging AI deployments from security vulnerabilities.

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9. Fortinet FortiGate AI

Fortinet FortiGate  - Best AI Tools for Cyber Security in 2025

Fortinet FortiGate with FortiAI represents the next evolution of network security, combining AI-driven threat detection with zero-trust access control. FortiAI includes three distinct modules: FortiAI-Assist for generative AI security analysis, FortiAI-Protect for AI-powered threat detection, and FortiAI-SecureAI for securing AI infrastructure and preventing AI-driven data leakage.

Best For: Organisations seeking unified network security with AI-powered threat detection and zero-trust capabilities

Key Features:

  • AI-Driven Threat Detection: Identifies advanced and unknown threats through machine learning analysis of network traffic
  • GenAI Application Control: Detects and controls access to over 6,500 AI/GenAI applications with contextual policy enforcement
  • Zero-Trust Access Control: Enforces least-privilege access and continuous verification across the network
  • AI Model Protection: Secures AI infrastructure from network threats and prevents LLM data leakage
  • Shadow AI Detection: Identifies unauthorised AI tool usage and enforces organisational AI usage policies
  • Data Privacy Controls: A multi-layered approach prevents sensitive data from training external LLMs
  • Advanced Malware Detection: Continuous ML training detects emerging malware variants with minimal false positives
  • Intrusion Prevention: Enhanced IPS models detect sophisticated attack techniques leveraging distributed intelligence

Pros:

  • Comprehensive AI-powered security spanning network threats, GenAI control, and AI infrastructure protection
  • Zero-trust architecture provides defence-in-depth against sophisticated multi-stage attacks
  • GenAI application control addresses emerging organisational risks from unauthorised AI usage

Cons:

  • Requires FortiGate hardware/virtual appliances; not a software-only solution
  • Complex implementation for organisations with distributed or hybrid network architectures
  • Custom pricing requires vendor negotiation

Pricing:

  • Free Plan: Not available
  • Paid Plans: Custom enterprise pricing based on FortiGate model and module licensing
  • Best Value: FortiGate with FortiAI-Protect for organisations seeking comprehensive AI-driven network security

Use FortiGate AI For:

Organisations requiring AI-powered network security with unified threat detection, GenAI control, and zero-trust capabilities.

10. Rapid7 InsightIDR

Rapid7 InsightIDR - Best AI Tools for Cyber Security in 2025

Rapid7 InsightIDR is a cloud-native SIEM and XDR platform designed specifically for modern threat detection and response. Combining user behaviour analytics (UBA) with attacker behaviour analytics (ABA), InsightIDR detects compromised accounts and identifies attacker tactics mapped to the MITRE ATT&CK framework. The platform includes generative AI-powered incident report automation and alert triage.

Best For: Mid-to-large enterprises seeking a modern cloud-native SIEM with advanced AI-powered detection and response

Key Features:

  • Use Behaviour Analytics: Detects compromised accounts through analysis of user access patterns and data interactions
  • Attack Behaviour Analytics: Identifies known attacker tactics and techniques from threat intelligence
  • Endpoint Detection & Response: Real-time endpoint monitoring with automated response capabilities
  • Network Traffic Analysis: Detects suspicious lateral movement and command-and-control communications
  • File Integrity Monitoring: Unauthorised file changes, indicating compromise or data theft
  • Deception Technology: Monitors honeypots and decoys to detect attackers exploring your network
  • Generative AI Incident Reports: Automatically drafts detailed investigation reports with findings and recommendations
  • MITRE ATT&CK Integration: Maps detected techniques for security maturity assessment and gap analysis
  • Automated Playbooks: SOAR-like capabilities automate containment actions based on incident severity and type

Pros:

  • Cloud-native architecture provides scalability for organisations of any size
  • Excellent generative AI integration for incident report automation reduces analyst workload
  • Strong endpoint detection and deception technology capabilities
  • 100% user renewal rate and 91% Net Promoter Score indicate high customer satisfaction

Cons:

  • Data overages can become costly for high-volume environments
  • Requires integration with existing tools for maximum cross-platform visibility
  • Learning curve for teams unfamiliar with modern SIEM concepts

Pricing:

  • Free Plan: Not available
  • Paid Plans: Custom pricing based on daily data ingestion; starting around $5,000+/month
  • Best Value: Cloud-native SIEM with built-in EDR and deception technology for modern SOCs

Use Rapid7 InsightIDR For:

Modern SOCs seeking cloud-native SIEM with advanced user/attacker behaviour analytics and generative AI automation.

11. Qualys Vulnerability Management

Qualys Vulnerability Management - Best AI Tools for Cyber Security in 2025

Qualys Vulnerability Management combines continuous cloud-based scanning with AI-powered vulnerability prioritisation. Instead of overwhelming security teams with thousands of CVEs, Qualys uses machine learning to prioritise vulnerabilities based on asset criticality, exploitability, threat intelligence, and business impact. This intelligent prioritisation enables security teams to focus remediation efforts on threats that truly matter.

Best For: Organisations seeking continuous vulnerability scanning with intelligent AI-powered prioritisation and compliance automation

Key Features:

  • Continuous Vulnerability Scanning: Automated cloud-based scanning without hardware infrastructure
  • AI-Powered Prioritisation: Machine learning prioritises vulnerabilities by real exploitability and business context
  • Asset Discovery: Automatically discovers all physical, virtual, cloud, and mobile assets
  • Compliance Automation: Pre-built assessments for PCI-DSS, HIPAA, GDPR, ISO 27001, and NIST
  • Remediation Tracking: Centralised tracking of vulnerability remediation with verification capabilities
  • Patch Management Integration: Connects with patch management systems for automated patching workflows
  • Threat Intelligence: Real-time threat intelligence updates identify emerging exploits and active campaigns
  • CVSS and EPSS Support: Supports multiple vulnerability scoring systems for nuanced risk assessment

Pros:

  • AI-powered prioritisation dramatically reduces the noise of traditional CVSS-based vulnerability management
  • Zero infrastructure overhead with fully cloud-based scanning
  • Excellent compliance automation capabilities streamline regulatory reporting

Cons:

  • Pricing can become expensive for organisations with thousands of assets
  • Benefits are maximised when integrated with patch management; standalone scanning is less valuable
  • Custom pricing requires vendor discussion

Pricing:

  • Free Plan: Limited vulnerability scanning capabilities available
  • Paid Plans: Custom enterprise pricing based on asset count and modules selected
  • Best Value: Full vulnerability management with AI prioritisation and compliance for mid-to-large enterprises

Use Qualys For:

Organisations seeking intelligent vulnerability management that prioritises threats by real business impact rather than generic CVSS scores.

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12. Wiz Cloud Security

Wiz Cloud Security - Best AI Tools for Cyber Security in 2025

Wiz is the leader in AI-powered cloud security, providing agentless visibility across multi-cloud environments. The platform analyses cloud infrastructure, identifies misconfigurations and compliance violations, scans workloads for vulnerabilities and malware, and investigates cloud identity and access management permissions. Wiz Defend introduces runtime security for workload threat detection.

Best For: Organisations with multi-cloud environments seeking agentless visibility and risk prioritisation across all cloud platforms

Key Features:

  • Agentless Cloud Scanning: Analyses cloud configurations without deploying agents to thousands of workloads
  • Vulnerability & Malware Detection: Identifies vulnerabilities and malware in cloud workloads and container images
  • Cloud IAM Analysis: Discovers over-privileged accounts and risky access patterns in cloud identity systems
  • Attack Path Prioritisation: Graph database identifies exploitable attack paths to prioritise remediation efforts
  • Compliance Scanning: Automated compliance verification against cloud-native standards and regulations
  • Wiz Defend Runtime Security: Detects runtime threats in containers and serverless workloads
  • Cloud Control Plane Monitoring: Analyses cloud control plane logs (M365, AWS, GCP) for suspicious activities
  • Contextual Correlation: Connects workload-level threats to cloud control plane events for complete attack understanding

Pros:

  • Unmatched agentless deployment simplifies management for organisations with thousands of cloud resources
  • Exceptional correlation between workload and cloud control plane provides complete attack chain visibility
  • Strong multi-cloud support spanning AWS, Azure, Google Cloud, and major SaaS platforms

Cons:

  • Pricing model not publicly available; requires vendor engagement for quotes
  • Relatively new runtime security capabilities are still maturing compared to traditional EDR
  • Smaller organisations may find pricing prohibitive

Pricing:

  • Free Plan: Not available
  • Paid Plans: Custom enterprise pricing based on cloud asset inventory and monthly active resources
  • Best Value: Platform + Wiz Defend for comprehensive multi-cloud security, including runtime protection

Use Wiz For:

Organisations seeking comprehensive multi-cloud security with agentless deployment and AI-powered risk prioritisation.

13. Cylance AI

Cylance AI - Best AI Tools for Cyber Security in 2025

Cylance (now part of BlackBerry) delivers AI-driven predictive threat prevention using mathematical algorithms rather than signatures. The platform predicts and prevents malware an average of 25 months before it appears on the internet, providing a massive advantage against unknown threats. CylancePROTECT prevents threats at the endpoint while CylanceOPTICS provides endpoint detection and response capabilities.

Best For: Organisations prioritising predictive malware prevention and zero-day threat protection with minimal system impact

Key Features:

  • Predictive Malware Prevention: AI algorithms predict unknown malware 25 months before it appears in the wild
  • Zero-Day Payload Execution Prevention: Blocks never-before-seen malware and file-less attacks
  • Mathematical Threat Detection: Uses advanced mathematics rather than signatures, providing protection even for air-gapped systems
  • Endpoint Threat Hunting: InSights capability enables on-demand threat hunting across the enterprise
  • Granular Device Controls: USB restrictions, script blocking, and application execution controls
  • Legacy System Support: Ability to "freeze" application versions on legacy systems, hardening against exploitation
  • Lightweight Performance: No signature updates required, ideal for OT networks and systems with limited bandwidth

Pros:

  • Unmatched predictive advantage against zero-day and unknown malware due to a unique mathematical approach
  • Exceptional for OT environments where patching is difficult and bandwidth is limited
  • Minimal system performance impact compared to traditional antivirus solutions

Cons:

  • The mathematical approach requires training data that may take time to reach full effectiveness
  • A smaller organisation's focus means less enterprise feature parity compared to competitors
  • Custom pricing requires vendor engagement

Pricing:

  • Free Plan: Not available
  • Paid Plans: Custom enterprise pricing for CylancePROTECT and CylanceOPTICS
  • Best Value: Combination of CylancePROTECT and CylanceOPTICS for predictive prevention + detection

Use Cylance For:

Organisations seeking predictive malware prevention with a unique mathematical approach, ideal for zero-day threats and legacy system hardening.

14. Abnormal Security

Abnormal Security - Best AI Tools for Cyber Security in 2025

Abnormal Security defends against targeted email threats using behavioural AI that understands human context and organisational behaviour. Rather than relying on signatures or link inspection, Abnormal establishes a baseline of normal communication patterns and detects anomalies indicating phishing, business email compromise, or account takeover attacks. New autonomous AI agents automate email security workflows.

Best For: Organisations seeking behavioural AI-powered email security with autonomous threat remediation

Key Features:

  • Behavioural AI Analysis: Establishes baseline communication patterns and detects suspicious deviations
  • Advanced BEC Detection: Identifies business email compromise attacks that bypass traditional email security
  • AI-Powered Phishing Protection: Detects AI-generated phishing attacks that mimic legitimate communications
  • Account Takeover Detection: Identifies compromised email accounts through behavioural analysis
  • AI Phishing Coach: An Autonomous AI agent provides personalised training for users interacting with suspicious content
  • AI Data Analyst: Autonomous threat reporting and risk analysis for security teams
  • Remediation Automation: Autonomous agents automatically remediate threats, including email retraction and user warning
  • Microsoft 365 Integration: Native integration with Exchange Online for seamless deployment
  • 90% Phishing Reduction: Customers reporta  90% reduction in phishing attacks with a 50% SOC headcount reduction

Pros:

  • Exceptional email threat detection with 90% attack reduction compared to traditional email security
  • Autonomous AI agents dramatically reduce SOC workload through automated remediation
  • Behavioural approach detects AI-generated attacks that evade signature-based solutions

Cons:

  • Email-only scope; doesn't address threats outside the email channel
  • Custom pricing for both platform and premium managed services
  • Integration primarily with Microsoft 365; limited compatibility with other email systems

Pricing:

  • Free Plan: Not available
  • Paid Plans: Custom enterprise pricing for the platform; additional cost for managed services
  • Best Value: Platform + managed services for organisations seeking hands-off email security

Use Abnormal Security For:

Organisations seeking behavioural AI email security that detects sophisticated attacks and automates threat remediation.

15. Tenable Nessus with AI

Tenable Nessus with AI - Best AI Tools for Cyber Security in 2025

Tenable Nessus, enhanced with AI-powered capabilities, delivers intelligent vulnerability management that analyses threat intelligence, asset criticality, and vulnerability data. Unlike traditional CVSS-based prioritisation, Tenable's AI examines multiple factors to identify the vulnerabilities that truly threaten your business. In June 2025, Tenable received the Globee Award for AI-Powered Vulnerability Management.

Best For: Organisations seeking AI-powered vulnerability management with intelligent prioritisation and cloud AI security

Key Features:

  • AI Vulnerability Prioritisation: Analyses threat intelligence, asset criticality, and exploitability to prioritise by real business risk
  • Exposure Prediction Scoring System (EPSS): Machine learning model predicts vulnerability exploitability probability
  • Cloud AI Risk Assessment: Identifies vulnerabilities and risks in cloud AI deployments and LLM applications
  • Shadow AI Detection: Discovers unauthorised AI usage and identifies security vulnerabilities in discovered tools
  • AI Model Security: Scans AI libraries, plugins, and dependencies for known vulnerabilities
  • Network-Based Scanning: Discovers all assets in your network for comprehensive vulnerability coverage
  • Cloud Native Support: Scans containers, serverless functions, and cloud-native workloads
  • Compliance Automation: Pre-built compliance checks for NIST, CIS, GDPR, HIPAA, and PCI-DSS

Pros:

  • Industry-leading AI-powered vulnerability prioritisation identifies high-impact risks
  • Unique AI security capabilities address rapidly emerging risks from AI/ML deployments
  • Excellent scanning accuracy with minimal false positives

Cons:

  • Advanced features require additional modules, increasing the total cost
  • Cloud AI features are relatively new; they are still maturing compared to traditional vulnerability scanning
  • Requires integration with patch management for full value

Pricing:

  • Free Plan: Limited vulnerability scanner available
  • Paid Plans: Starting at $2,590/year for a professional license; advanced modules and cloud security are additional
  • Best Value: Professional license with cloud AI add-on for organisations deploying AI and seeking AI security

Use Tenable Nessus For:

Organisations seeking AI-powered vulnerability management with a specific focus on cloud AI security and intelligent threat prioritisation.

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What Are AI Tools for Cybersecurity?

AI tools for cybersecurity represent a fundamental evolution in how organisations detect, investigate, and respond to cyber threats. These intelligent systems go far beyond traditional security tools by using machine learning algorithms and behavioural analytics to understand what constitutes normal activity in your specific environment, then automatically flagging deviations that indicate potential attacks.

In the context of cybersecurity, AI refers specifically to the application of intelligent algorithms and machine learning to analyse vast volumes of security data, identify patterns, and make informed decisions at speeds and scales impossible for human analysts. Rather than relying on predefined rules or signatures that must be manually updated, AI-powered security tools continuously learn from billions of security events, adapt to new threats, and improve their accuracy over time.

The evolution from traditional security tools to AI-powered solutions represents a fundamental shift in cybersecurity strategy. Where traditional tools look for known bad patterns, AI security tools learn what normal looks like for your organisation, then detect anything that deviates from that baseline. This approach enables the detection of zero-day vulnerabilities that have never been seen before, insider threats that might evade traditional monitoring, and sophisticated multi-stage attacks that traditional tools assess in isolation rather than as correlated events.

Benefits of Using AI Tools for Cybersecurity

AI tools fundamentally enhance cybersecurity operations by automating complex detection and response tasks in the face of rapidly evolving threats. Here’s why incorporating AI tools is vital for cybersecurity success in 2025:

1. Boost Productivity and Efficiency

AI tools are fundamentally transforming security team productivity by automating the most time-consuming and repetitive tasks. Instead of manually reviewing thousands of daily alerts, machine learning algorithms automatically triage alerts, remove false positives, and escalate only genuine threats requiring human investigation.

This automation reduces the average time security teams spend dealing with alert fatigue by an estimated 50–60%, enabling skilled analysts to focus on strategic initiatives rather than routine monitoring.

According to the 2025 Ponemon Institute Report on the State of AI in Cybersecurity, organisations implementing AI see a 51% improvement in SOC efficiency, with 70% reporting increased productivity.

2. Save Time on Repetitive Tasks

Repetitive security activities such as vulnerability scanning, log analysis, policy generation, and incident report drafting consume an enormous amount of analyst time without adding strategic value. AI automates these processes with exceptional speed and consistency.

Automated vulnerability scanning identifies all assets and misconfigurations, while machine learning log analysis detects anomalies within millions of events in seconds. Generative AI prepares incident reports summarising complex investigations. 

This automation saves thousands of analyst hours each year, with one study noting that the average time to detect threats has improved by 64% through AI-powered investigation tools.

3. Cost-Effective Solutions

Although AI security tools require notable investment, they deliver outstanding returns through reduced incident impact, enhanced analyst productivity, and prevention of costly breaches. Global cybersecurity spending is projected to reach £212 billion in 2025, as organisations recognise that AI tools often yield better ROI than traditional point solutions.

Many organisations report that AI tools negate the need for additional security hires, with one case study showing a 50% reduction in SOC headcount without compromising protection. 

Free trials and tiered pricing structures allow organisations of all sizes to introduce AI security capabilities.

4. Improve Quality and Accuracy

AI-driven threat detection improves accuracy by up to 95% compared with traditional methods, while simultaneously cutting down on false positives that waste analyst time.

Machine learning models trained on billions of security events detect subtle patterns indicative of compromise, identifying threats that might evade human analysts and conventional tools. This enhanced accuracy ensures fewer breaches escalate to critical severity, allowing faster containment and minimising business impact. 

Correlating events across multiple data sources also provides valuable context, making threats immediately clearer to investigation teams.

5. Access Advanced Capabilities

AI-powered security tools democratise advanced protection methods that were once reserved for large enterprises with vast budgets and specialist teams. Behavioural analytics, threat hunting, incident response automation, and complex threat correlation are now accessible through intuitive platforms requiring minimal technical expertise.

Smaller organisations can now deploy capabilities previously confined to Fortune 500 companies. This democratisation of cybersecurity technology fundamentally levels the playing field.

6. Stay Competitive in 2025

Cybersecurity has evolved from a defensive necessity into a vital competitive differentiator. Organisations that fail to adopt AI-powered tools face significantly higher breach risks in a landscape where attackers are also using AI to enhance their operations.

According to recent industry research, 56% of business and security leaders believe AI could advantage cybercriminals rather than defenders if the latter fail to adopt it quickly. Organisations leveraging AI security tools strengthen their position through reduced breach risk, faster incident response, and lower operational costs.

How to Choose the Right AI Tool for Cybersecurity

Selecting the optimal AI cybersecurity tool requires careful assessment of your organisation's specific requirements, architecture, and security maturity. The right tool for a startup differs significantly from what a large enterprise requires. This section provides a systematic approach to evaluating and selecting from the extensive array of available options.

1. Identify Your Specific Needs

Begin by conducting a thorough assessment of your organisation's actual security challenges and requirements. Ask:

  • What are your primary attack surfaces? (endpoints, network, cloud, identity, email?) 
  • What compliance requirements must you meet? What budget is realistic?
  • What security skills exist within your team?

Different AI tools address different challenges. Darktrace excels at network threat detection, while Abnormal specialises in email security. 

Before evaluating specific tools, define what problems you're trying to solve. Document your current security tools to identify gaps. Prioritise the capability most critical to your organisation: would a breach of your customer database be most damaging, or a compromise of employee credentials? This prioritisation guides tool selection.

2. Start with Free Versions

Most leading AI cybersecurity vendors offer free trials or limited free versions, enabling hands-on evaluation before committing to paid licenses. Take advantage of these offerings to test how the tool integrates with your environment, how easily your team can learn it, and whether it provides the visibility and accuracy your organisation needs.

Free trials typically last 14-30 days, sufficient to understand the tool's capabilities and limitations. Evaluate how the tool performs with your actual data and threat landscape rather than the synthetic examples vendors provide.

3. Check Integration Capabilities

Most organisations operate with multiple security tools already deployed. AI cybersecurity tools must integrate seamlessly with existing infrastructure to provide unified visibility. Assess integration capabilities with your SIEM, incident management system, ticketing platform, and other critical tools.

Can the tool pull data from your existing sources? Can it send alerts to your existing ticketing system? Can it integrate with your automation platform (SOAR)? Tools that fail to integrate effectively with your current stack create silos and diminish effectiveness despite their individual strengths.

4. Consider Learning Curve

Even the most powerful AI tool offers little value if your team cannot use it effectively. Evaluate the tool’s user interface, training resources, and learning requirements. Does the vendor provide onboarding support? Are there community resources and documentation available?

Does the tool require specialist skills (such as custom algorithm development), or can security analysts without advanced data science backgrounds operate it efficiently? Some tools, such as Microsoft Security Copilot, feature intuitive natural language interfaces that enable rapid adoption. Others demand significant tuning and optimisation before delivering full value.

5. Read User Reviews

Independent user reviews provide invaluable insights into real-world performance, implementation challenges, and vendor responsiveness. Consult industry analyst reports from Gartner, Forrester, and IDC for comparative evaluations. Read user feedback on platforms such as G2, Capterra, and Software Advice.

Pay particular attention to feedback from organisations similar to yours in size, industry, and infrastructure. Identify recurring patterns in feedback. Are multiple users reporting the same issue? Excellent products receive mostly positive reviews, even from critical users, while problematic tools attract consistent complaints about specific shortcomings.

6. Evaluate Customer Support

Effective customer support is crucial when your security tool detects a potential breach and your team requires immediate expert assistance. Assess whether the vendor offers 24/7 support, how quickly they respond to critical issues, and whether support includes managed services.

Some vendors, such as Darktrace and Vectra, provide managed threat-hunting services where expert analysts investigate threats within your environment. Others offer only standard support hours. For organisations lacking in-house expertise, managed services justify their additional cost by providing expert threat-hunting and incident response support.

7. Think Long-Term

Selecting a cybersecurity tool has long-term implications. Evaluate not only current capabilities but also the vendor’s roadmap and longevity. Is the vendor innovating rapidly, adding AI capabilities, and improving accuracy? Is the company financially stable, or does it face acquisition risks as a start-up? Will the tool scale with your organisation’s growth? Does the vendor demonstrate commitment to emerging areas such as AI security, supply chain security, and cloud protection? Tools that fail to evolve with the threat landscape quickly become obsolete, forcing costly mid-contract replacements.

Conclusion

AI tools for cybersecurity are redefining how organisations protect their digital ecosystems by merging advanced automation with human intelligence. From faster threat detection to adaptive response, these tools simplify complex security tasks while improving accuracy. With accessible free trials and entry-level plans, exploring AI-powered security has never been easier.

Begin with a cybersecurity tool aligned to your organisation’s needs, test its performance, and refine your strategy through experience. Keep experimenting, stay informed, and connect with the community of professionals using AI to create safer, smarter digital environments for everyone.

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Aditya Shastri - Trainer at IIDE

Lead Trainer & Business Development Head at IIDE

Aditya Shastri leads the Business Development segment at IIDE and is a seasoned Content Marketing expert. With over a decade of experience, Aditya has trained more than 20,000 students and professionals in digital marketing, collaborating with prestigious institutions and corporations such as Jet Airways, Godrej Professionals, Pfizer, Mahindra Group, Publicis Worldwide, and many others. His ability to simplify complex marketing concepts, combined with his engaging teaching style, has earned him widespread admiration from students and professionals alike.

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Apart from his marketing expertise, Aditya is also a spiritual speaker, often traveling internationally to share insights on spirituality. His unique blend of digital marketing proficiency and spiritual wisdom makes him a highly respected figure in both fields.