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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
European AI security agency offering consulting, red teaming & governance services
Secures GenAI app usage with visibility, data protection, and threat defense
LLM Guard is a security toolkit that enhances the safety and security of interactions with Large Language Models (LLMs) by providing features like sanitization, harmful language detection, data leakage prevention, and resistance against prompt injection attacks.
AI security platform for red teaming AI agents, GenAI apps, and ML models
AI security platform for testing, defending, and monitoring GenAI apps & agents
AI security solution protecting models, agents, data, and prompts
AI-powered security assistant for autonomous threat detection and response
AI security testing platform for red teaming, vulnerability assessment & defense
GenAI-powered malware analysis tool for unknown & zero-day threats
AI-powered security platform for threat detection, automation, and AI protection
Machine learning project for intuitive threat analysis with a web interface.
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.
Tool roundups, buying guides, and strategic analysis from the CybersecTools resource library.
The 7 best agentic AI security tools in 2026: runtime protection, governance, red teaming, and secure execution for AI agents.
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.
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.
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:
Yes. Out of 11 ai security tools listed on CybersecTools, 2 are free and 9 are commercial. Free tools work well for small teams, testing, and budget-conscious organizations. Commercial tools typically add enterprise features, dedicated support, and SLA guarantees.