AI Red Teaming built for fast-moving product teams
Move from assumptions to evidence. We simulate realistic abuse cases against your AI features, uncover weak points, and help your team close gaps before attackers or auditors find them.
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Map your AI attack surface before testing begins
We document your AI architecture, RAG pipelines, agent tools, APIs, policies, and trust boundaries so testing reflects how your product actually works in production.
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Run controlled attacks against real workflows
Our specialists launch safe, multi-layered simulations covering prompt injections, jailbreaks, data leakage, poisoning attempts, policy bypasses, and agent misuse.
Explore adversarial testingTurn findings into fixes your engineers can ship
We translate evidence into guardrail updates, validation layers, regression tests, and prioritized remediation guidance so your team can verify improvements over time.
Explore validation plansPackage risk context for product and leadership
Final reporting connects technical findings to business impact, affected owners, severity, remediation status, and repeatable metrics your team can track after launch.
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Human led AI security assessments
Unlock expert AI and ML security consulting to strengthen your models and safeguard against emerging threats. Tailored solutions for resilient, secure AI driven systems.
- Advanced Adversarial Simulation
- Deep Model Forensics & Debugging
- Actionable Reporting
- Pipeline & Data Integrity Validations
Ready to pressure-test your AI before production scale?
Start with a focused red teaming engagement on your highest-risk workflow and receive a prioritized hardening roadmap your team can execute immediately.
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