AI Security Tools
AI security tools and solutions for protecting artificial intelligence systems, machine learning models, and AI-powered applications from cyber threats.
Browse 347 ai security tools
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Firewall protecting LLMs from prompt attacks, data leaks, and harmful outputs
Continuous red teaming platform for testing LLM security vulnerabilities
AI red teaming platform for testing vulnerabilities in AI models and agents
Runtime security for AI models, agents, and data with guardrails and compliance
Platform securing AI models at inference with red-teaming, defense & monitoring
ML platform for anomaly detection, outlier detection, classification & regression
Platform securing AI apps, agents, models & data across development lifecycle
AI-focused detection and response platform for AI models, agents, data, and prompts
End-to-end platform for secure enterprise AI deployment with compliance controls
AI-powered threat detection & response platform with predictive capabilities
AI-powered cybersecurity automation agent for daily workflow execution
AI usage control platform for detecting & preventing unsafe GenAI tool usage
Runtime security platform for AI workflows and SaaS data protection
Platform for monitoring, governing, and remediating AI agent actions
AI agent governance and security platform for visibility and control
AI security assurance platform for red-teaming, guardrails & compliance
Monitors and secures employee AI tool usage across devices and endpoints
AI trust infrastructure platform for securing GenAI apps & workforce usage
Governance layer for monitoring and controlling AI coding agents within policy rules
AI Security Specializations
347 tools across 10 specializations · 16 free, 331 commercial
Agentic AI Security
Security tools for protecting AI agents, MCP servers, multi-agent systems, and autonomous AI workflows.
AI Data Poisoning Protection
Data poisoning protection tools that detect and prevent malicious data injection attacks targeting AI training datasets and machine learning models.
AI Governance
AI governance platforms for managing AI risk, compliance, policy enforcement, and responsible AI adoption across the enterprise.
Articles About AI Security
Tool roundups, buying guides, and strategic analysis from the CybersecTools resource library.
Best Agentic AI Security Tools in 2026
The 7 best agentic AI security tools in 2026: runtime protection, governance, red teaming, and secure execution for AI agents.
Best AI SPM Tools in 2026
The 7 best AI SPM tools in 2026 reviewed: Prisma AIRS, Zscaler AI, Sysdig, Zenity, Noma, and more. Find the right fit for your AI security stack.
Best AI Security Tools in 2026
The 7 best AI security tools in 2026 reviewed: CrowdStrike Falcon AIDR, Prisma AIRS, FortiAI, SkopeAI, Lakera Red, Cyera AI Guardian, and Secure AI Factory.
AI Security Tools FAQ
Common questions about AI Security tools, selection guides, pricing, and comparisons.
AI security focuses on protecting AI systems, machine learning models, and AI-powered applications from adversarial attacks, data poisoning, model theft, and misuse. As organizations deploy LLMs, GenAI, and autonomous AI agents, securing these systems is critical to prevent prompt injection, data leakage, hallucination-based risks, and unauthorized access to sensitive training data.
The top threats include prompt injection (manipulating LLM inputs to bypass guardrails), data poisoning (corrupting training datasets), model extraction (stealing proprietary models through API queries), adversarial attacks (crafting inputs that cause misclassification), and shadow AI (unauthorized AI tool usage leaking corporate data). The OWASP Top 10 for LLM Applications provides a comprehensive framework for understanding these risks.
Traditional cybersecurity protects infrastructure, networks, and applications using well-defined perimeter controls. AI security deals with probabilistic systems where behavior is non-deterministic, making threats harder to detect and prevent. AI-specific challenges include securing model weights, preventing training data extraction, detecting adversarial inputs in real-time, and governing AI usage across the organization.
Existing security tools (WAFs, DLP, endpoint protection) do not address AI-specific threats like prompt injection, model poisoning, or adversarial ML attacks. Dedicated AI security tools provide runtime guardrails for LLMs, AI asset discovery, model vulnerability scanning, and AI-specific threat detection that traditional tools cannot replicate.
Based on user ratings and community engagement on CybersecTools, the top-rated AI Security tools are:
