Discover the latest news and innovations from Fal.Con Europe Learn more
Secure AI


Find AI weakness before attackers do

Automatically test AI models, applications, and agents with real techniques, find what breaks and what to fix before deployment.

Untested AI is unsafe AI


AI models and agents are probabilistic and can be jailbroken, manipulated through prompt injection, and fail in ways conventional software testing was never built to catch. Those weaknesses live inside the model and the agent's reasoning loop, a layer traditional security testing never reaches, and most enterprises have no way to find before deployment.

Pentests probe code, not cognition

Conventional security testing can't see into AI reasoning, missing prompt injection and model-specific failures.
AI is scaling, testing is not

Manual, one-off tests can't keep pace as agents multiply and evolve across the enterprise.
Unmapped findings go nowhere

Without automatic OWASP, MITRE ATLAS, or NIST mapping, AI test results can't drive compliance or action.

Test AI at scale automatically


CrowdStrike Automated AI Security Testing (AAIST) will use real attack techniques against models, applications, and agents, find what breaks, map it to compliance frameworks, and tell teams what to fix before AI reaches production environments.

Prompt-to-test automation

Describe what you want to test in plain language. AAIST will then automatically select the attack, apply transforms, and score the results. No code, no configuration files.  Test every agent automatically, as fast as you ship.
Image displaying prompt-to-test automation
×

Cover every AI attack surface

Probe security, safety, trust, and brand risk by running 100+ attack strategies that target the model's reasoning loop, spanning jailbreaks, prompt injection, data exfiltration, bias amplification, and manipulative behavior across text, image, audio, video, and multi-agent systems.
Image displaying dashboard running attack strategies
×

Turn findings into fixes

Rank, map, and report findings teams can act on, ranked by severity and mapped to OWASP Top 10 for LLMs, OWASP Agentic Security, MITRE ATLAS, and NIST AI RMF, with exportable reports so stakeholders can make go/no-go decisions.
Image displaying ranked findings with exportable results
×

Human judgment, built in

Human operators reclassify AAIST findings, adjust severity, and document their reasoning, with dashboard metrics recomputing automatically, so risk pictures stay accurate and defensible.
graphic image

Find AI weakness before attackers do

Automatically test AI models, apps, and agents, find what breaks and what to fix before deployment.

Dreadnode will be sold as part of the Falcon platform as Automated AI Security Testing, generally available in Q4 FY27. 

Contains forward-looking statements, including statements regarding expected benefits of the acquisition and product integration plans. See our press release for further information.