AI Red Teaming
Find AI risks
Before attackers do.
AI Red teaming uncovers and helps mitigate exploitable weaknesses with continuous, context-aware adversarial testing.
Todayβs Challenges
AI risks evolve faster than protections
EVOLUTION
Unknown AI exposure
As AI systems grow more complex, attackers target prompts, model behavior, data flows, and integrations before teams can protect them.
SCALE
Not every bad response is a real risk
Teams canβt tell which model weaknesses put the business at risk, so itβs hard to know where guardrails matter most.
ACTION
Findings donβt become protection
Teams struggle to turn validated AI findings into protections without stitching together disconnected tools and manual workflows.
Our approach
Expose the risk.
Prioritize protection.
Cato AI Red Teaming continuously tests AI models using customized, contextual scenarios that uncover regulatory gaps, content risks, and AI attacks β informed by Cato AI Labs research. Results then become clear, evidence-backed findings that show which risks to prioritize and what an attacker could do. From the same platform, teams receive guided remediation and suggested policy updates that translate validated risks into AI security policies and protections for production environments.

Expose real AI risk
Testing built by Cato AI Labs, using advanced research and novel attack techniques, rather than testing against generic prompt libraries.
Separate real risk from noise
Cato translates tests into clear, evidence-based findings that help teams focus first on the risks that matter.
Turn findings into protection
Guided remediation and policy updates operationalize findings in-platform, accelerating the path from risk discovery to mitigation.
How it works
AI Red Teaming Capabilities
COMPREHENSIVE TESTING
Test the risks AI systems face
Uncover AI risks based on your own environment and risk profile, before they become a liability.
- Test harmfulness, bias, and AI attacks
- Run single- or multi-turn tests across intensity levels
- Test across text, image, and voice modalities


TESTING LED BY CATO AI LABS
Stay ahead of evolving threats
Run attack scenarios developed by Cato AI Labs, the researchers behind EchoLeak, CurXecute, and more.
- Test scenarios developed from real vulnerability research
- Apply emerging attack patterns beyond generic prompt libraries
- Expose weaknesses before they become a liability
EVIDENCE-BACKED INSIGHTS
Uncover the risks that matter
Focus mitigation efforts on real, exploitable risk and prioritize what to address first.
- See which attack paths could actually be exploited.
- Prioritize by risk scores and failure rates
- Map findings to relevant risk frameworks


GUIDED REMEDIATION
Take findings to protection
Turn validated findings into a clear path for strengthening protections in production.
- Review remediation guidance for each finding
- Evaluate policy updates in the same platform
- Strengthen protections in production environments
COMPLIANCE ALIGNMENT
Demonstrate your AI risk posture
Map red-teaming findings to relevant frameworks to help document risk, prioritize gaps, and support AI governance reviews.
- Map findings to relevant risk frameworks
- Document AI risk for governance and audit
- Prioritize gaps that require attention

Customer Stories
Customers love Cato
β
Having the right AI security solution gave me the confidence to say yes to the business. It didn’t just protect us — it accelerated our AI adoption because I could enable our teams instead of blocking them.
Doug Innocenti
CIO/CSO, MoonPay
Alfred Sobrinho
CIO, PlayPower
Chidi Alams
Chief Information Officer, Just Born Inc
Nick Hidalgo
VP, Information Technology, Redner’s Markets
Guy Pascarello
VP, Information Technology, AKRF
Get a live demo
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What to expect
15β30 minute session with a product expert
Discuss your use cases and how we can help
Live product demonstration where applicable
Get Started
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What’s new
AI Security resources in one place
SOLUTION BRIEF
AI Security Solution Brief
WEBINAR
Secure Your AI Transformation
SOLUTION BRIEF
AI Detection Engine Solution Brief
CHECKLIST
What CISOs Must Ask AI Security Vendors
