It knows where the attacker is, and when they will move.
It understands how attacks progress, including the stages unique to AI serving, and anticipates the next one. Moves land before the attacker advances a stage, even against a zero-day that emits no alert.
How attacks progress
Phorvex understands how an attack moves through a cluster, stage by stage. Every assessment is auditable and reproducible.
AI-specific stages
It also covers attack stages unique to AI serving: model theft, prompt-injection persistence, and GPU side-channels. Pod-level tools never model these.
It moves first
Phorvex anticipates the attacker's next step and acts before it.
No alert required.
Detection-first tools need a signature, an anomaly, or an analyst. A quiet attacker provides none of them. The Context Engine does not wait for an alert. It reasons about where an attacker could be, and lands each move before their next step.
In our benchmark, that is the difference between eviction in about 5.5 seconds and a reactive baseline that never acted at all.
- Moves land before stage advance. Each move is timed ahead of the attacker's next step.
- 100% prevention on zero-day scenarios in the benchmark, where reactive-only tools scored 0%.
- Zero false positives. Preemption without paranoia, because moves are decided rather than triggered.
Watch the Context Engine at work.
A technical briefing includes a stage-by-stage walkthrough against a live attack scenario.