How does Akto perform continuous LLM red teaming?

Akto runs automated red teaming against AI agents using a probe library designed to simulate real-world attacks - and does it continuously, not just at point-in-time assessments.

Testing scenarios include:

• Prompt injection and jailbreaks

• Tool abuse and escalation

• Data leakage attempts

• System prompt extraction

• Agent privilege escalation

• MCP abuse

• Multi-step attack chains

The continuous part is what separates this from a standard pen test. When your models, prompts, tools, or configurations change - which happens constantly - your security posture changes too. A test you ran three months ago doesn't tell you much about today's deployment.

Security teams get ongoing visibility into discovered weaknesses and can validate that mitigations are still doing their job as the AI system evolves. Over time, that generates measurable evidence of AI security posture improvement, which is increasingly what CISOs and boards are asking for.