Gather comprehensive contextual information about your AI endpoints to enable more
accurate and relevant AI Red Teaming assessments.
Target Profiling enhances your AI security assessments by gathering
comprehensive contextual information about your AI endpoints, enabling more accurate
and relevant vulnerability discoveries. When you conduct AI Red Teaming assessments
without proper context, you receive only generic baseline risk evaluations that may
not reflect real-world threats specific to your environment. With
Target Profiling, you can leverage both
user-provided information and intelligent agent-based discovery to get detailed
profiles of your AI models, applications, and agents.
Target Profiling automatically collects critical background information
about your AI systems, including industry context, use cases, competitive landscape,
and technical foundations such as base models, architecture patterns, and
accessibility requirements. AI Red Teaming's agentic profiling capability
interrogates your endpoints to discover configuration details like rate limiting,
guardrails, and system prompts without requiring manual input. This automated
approach saves you time while ensuring comprehensive coverage of contextual factors
that influence security risks.
The feature provides you with a centralized Target Profile page where you
can visualize all gathered context, review assessment history, and track risk scores
across multiple scans over time. You can distinguish between user-provided
information and agent-discovered data, giving you full transparency into how your
target profiles are constructed.
Target Profiling directly improves your AI Red Teaming effectiveness by
enabling context-aware assessments that identify vulnerabilities specific to your
industry, use case, and technical implementation. AI Red Teaming uses your target's
industry and competitive context to evaluate brand and reputational risks more
accurately, while technical configuration details help identify
implementation-specific vulnerabilities. By maintaining detailed profile and
assessment histories, you can track your security posture improvements over time and
ensure that your AI systems remain protected as they evolve in production
environments.