Tiered 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.
Tiered detectors run on each exchange, ingress and egress. The console streams every inspection, showing exactly 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, so 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.