Red-team AI without provider-side refusals.
Test prompt injection, jailbreak resilience, and model misuse — at scale, with full audit trails.
Off-the-shelf model refusals make legitimate security testing impossible. Policy Gateway gives security teams controlled access to less-restricted inference, with policy-enforced guardrails on outputs and complete audit trails for every test.
Why teams in cybersecurity hit a wall.
Provider refusals block legitimate testing
Refusal-tuned models won't run prompt injection scenarios, jailbreak probes, or attacker-persona simulations needed for AI red-teaming. Your AppSec team is locked out of its own product.
No audit trail for security exercises
Compliance teams need every test logged with reproducible inputs and outputs. Most LLM APIs return scores or completions — not the decision metadata your evidence-of-testing reviews require.
Sensitive payloads risk leaking out
Pentest prompts often contain real internal artifacts. Provider-side training pipelines and unclear retention create risk you can't accept.
Built for cybersecurity workloads.
Less-restricted inference, governed at the edge
Run red-team prompts against the abliterated model with your security team's policy as the guardrail — not the provider's.
Decision metadata on every call
Every test logged with policy ID, reason code, and the input/output pair. Exportable to your SIEM for evidence-of-testing audits.
Zero data retention by default
Prompts and outputs processed transiently. Audit events stream into your SOC tooling — Splunk, Datadog, Elastic, S3, Azure Monitor — never our training set.
Scenarios from the field.
Prompt injection battery
Run a corpus of injection variants against your production chatbot. Track which prompts bypass your safety layer; export results straight to your AppSec ticketing.
Jailbreak resilience scoring
Continuously evaluate your shipping LLM features against a maintained jailbreak corpus. Get reproducible decision logs across runs and regression-test on every release.
Adversarial training data
Generate red-team examples for fine-tuning your in-house safety classifiers. Same governed API, JSONL output, full provenance.
Designed for the frameworks your auditors care about.
Designed to slot into the frameworks your security and risk teams already report against.
- OWASP LLM Top 10Aligned testing surface across the full top-10 attack categories.
- NIST AI RMFDecision logs map cleanly onto Govern / Map / Measure / Manage functions.
- MITRE ATLASReusable tactic/technique tagging on test runs.
- SOC 2 (in progress)Enterprise audits underway.
- Zero data retentionDefault; prompts and outputs not used for training.
- Per-project key scopingIssue, rotate, and revoke keys per test program.
Ready to bring governance to your cybersecurity stack?
Talk to an engineer about your deployment, or grab an API key and start building today.