Automated AI
Red Teaming
Expose vulnerabilities in GenAI through continuous simulation, explainable reporting, and prioritized mitigation
Uncover real risks with automated attack simulations
AI systems can behave in unexpected ways, especially when pushed to the edge. With DeepKeep, you can automatically test your applications, agents and models under real-world conditions without relying on manual red teaming cycles.
Get insights into where systems break down and how to fix them before it matters.
Simulate threats across your GenAI stack
Challenge your AI systems and evaluate how your custom AI applications, models, and agents respond to prompt injection, jailbreaks, data leakage attempts, and unsafe output generation. Tests run contextually and continuously, giving you a realistic view of how GenAI behaves under targeted misuse and not just ideal conditions.
The system adapts to your specific scenario, so you get relevant findings tied to your actual applications, not generic test cases.
Focus on what’s actionable
Every red teaming result is tied to a clear security or trust failure, with remediation guidance you can act on. Know which flows are affected, what triggered the failure, and what needs to change - whether that’s a policy update, prompt adjustment, or firewall guardrails. Findings are categorized by impact, so you can focus your effort where it matters most.
Secure the future of your applications
You don’t need to slow innovation to control risk.
With DeepKeep, you can enable AI across the business while maintaining visibility and control where it matters.
The business keeps building. You keep it secure.
