How do I assess whether a vendor's AI red teaming probe library is comprehensive enough to cover our specific use cases?

A vendor's AI red teaming probe library is comprehensive enough when it tests real-world agentic attack paths, not only adversarial text inputs. The distinction matters because modern AI agents interact with APIs, MCP servers, tools, databases, SaaS applications, and multi-step workflows, which creates attack surfaces that go far beyond what prompt fuzzing alone can validate.

To assess coverage, organizations should verify that the probe library tests:

• Prompt injection across both direct and indirect attack vectors

• Tool misuse: whether agents can be manipulated into calling tools they should not access

• Privilege escalation through multi-step workflows or permission boundary failures

• Data exfiltration through agent outputs, tool calls, or context leakage

• Unsafe action chaining: whether individually benign steps can combine into harmful outcomes

• Context poisoning that alters agent reasoning without triggering obvious safety filters

• MCP abuse and cross-agent manipulation in multi-agent deployments

• Unauthorized tool execution including actions outside the agent's intended scope

• Rogue autonomous behavior triggered by carefully crafted inputs

Beyond the prebuilt library, organizations should evaluate whether the platform allows customization for internal workflows, regulated environments, proprietary tools, and organization-specific attack scenarios. Generic test cases cannot substitute for probes that reflect how your agents actually operate.

Akto's Agent Probe was designed specifically for agentic AI environments and validates whether prompts can trigger risky tool calls, whether agents can exceed intended permissions, and whether multi-step workflows can be manipulated from end to end. With more than 4,000 prebuilt test cases and CI/CD integration, it enables continuous adversarial testing across production AI systems rather than isolated assessments run before launch.