Loading...
Red-teaming, behavioral evals, and production guardrails for autonomous and semi-autonomous AI agents. Reduce catastrophic failures, prompt injection risk, and unsafe tool use before agents touch customers or critical systems.
Capabilities
Built for production teams that need reliability, security, and measurable outcomes.
Systematic adversarial testing across jailbreaks, tool misuse, data exfiltration, and privilege escalation. Prioritize findings by blast radius and reproducibility.
Track agent reliability on multi-step tasks, recovery from errors, and adherence to policies. Compare releases and catch regressions before rollout.
Enforce allow-lists for tools, destinations, and data classes. Combine static rules with live monitors that pause or escalate when risk scores spike.
Route uncertain or high-impact actions to reviewers with full context. Tune thresholds from evaluation data instead of guesswork.
Immutable logs of prompts, tool calls, and decisions for regulated industries. Export evidence packs for security and legal review.
Applications
How teams are using AI Agent Safety & Evaluation to drive business outcomes.
Ship agents that can browse, summarize, and act—without crossing trust boundaries or leaking tenant data.
Automate ops and support with agents that respect RBAC and data residency from day one.
Score third-party agents and foundation APIs on safety before standardizing on a provider.
Why AI Agent Safety & Evaluation
Measurable improvements that compound over time.
Talk to our team about how AI Agent Safety & Evaluation fits into your delivery roadmap. We will help you scope priorities and plan a practical rollout.