Run automated adversarial testing with every release so citizen chatbots and benefits agents keep current security evidence between assessments.
Citizen chatbots and benefits agents change every sprint, but security assessments supporting an authorization to operate are often point-in-time. By the next release, the evidence describes a system that no longer exists. PointGuard AI automates adversarial testing and reruns it whenever models, prompts, or tools change, giving agencies current evidence to support continuous monitoring.
Point-in-time assessments cannot keep pace with AI systems that change every sprint.
AI Red Teaming runs repeatable adversarial tests and ties results to the systems and versions they cover.
1. Define agency scenarios. Build probe sets for citizen services, benefits eligibility, and casework, including injection, data leakage, and harmful-output scenarios.
2. Test with every release. Trigger tests automatically when a model, prompt, or tool changes, and run them on a schedule between releases.
3. Review and compare. Inspect exact prompts, responses, and failure rationales. Compare results across versions to detect regressions.
4. Feed continuous monitoring. Map findings to OWASP and MITRE ATLAS and export evidence to support continuous monitoring and reauthorization.
PointGuard AI supports an agency's authorization process; it does not grant or replace an authorization to operate.