Red Teaming Agents for AI Governance

Evidence‑based adversarial testing for AI agents on Databricks

Most companies are deploying AI agents without knowing how they behave when someone tries to break them. Attackers push for leaks, jailbreaks, and unsafe behaviour. Traditional testing doesn’t catch it.

We fix that by running real adversarial pressure against your agents. Using automated multi‑agent testing on Databricks, you get clear evidence of where you’re safe and where you’re exposed.

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What's inside?

Attacker pressure on AI agents
How adversarial prompts expose unsafe behaviour.

A testing agent for regulated industries
How automated attacks reveal real vulnerabilities.

Audit‑ready evidence
How full lineage and clear reporting support scrutiny.

Why it matters for FS and insurance
How this approach meets regulatory expectations.