Nine detectors scan every exchange your AI has — ingress and egress — catching prompt injection, data leakage, and unsafe output before they reach the model or the user.
Most AI incidents don’t come from the model weights — they come from what goes in and what comes out. Guardrails sit on the wire and make that traffic safe in real time.
Crafted input hijacks the model mid-conversation, turning a helpful agent into the attacker’s.
Sensitive data — customer records, secrets, internal context — flows straight out in a response.
Role-play and encoding tricks bypass safety and pull restricted content out of the model.
The model generates abusive, unsafe, or policy-violating content in front of a real user.
API keys, tokens, and connection strings slip out in model output to anyone watching.
A poisoned document or RAG context quietly hijacks the agent without a single malicious prompt.
Nine detectors run on each exchange, ingress and egress. The console streams every inspection — click one to see which detectors fired.
Sub-2ms heuristics run on 100% of traffic; ambiguous cases escalate to ML detectors. The common case never pays an ML tax.
A model is only as safe as the traffic around it. Intercept inspects what goes in and what comes out — before the model or the user ever sees it.
Every prompt and response is intercepted at the gateway, before the model or user sees it.
Sub-2ms pattern detectors run on 100% of traffic — the common case never pays an ML tax.
Ambiguous cases escalate to ML detectors for a deeper verdict, only when needed.
Allow, redact, or block — and the decision is signed into the evidence ledger.
Watch nine detectors run on real traffic and block an injection in under 2ms — in one session.