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The Platform · AI Runtime Security

One platform, two data planes

Browser and system are one attack surface, not two. SalienceCyber.ai instruments both and judges them in a single decision loop — so an interaction that begins in a browser session and ends in a process on the host is one story, not two alerts in two consoles. Enforcement happens at the point of interaction, before execution. No kernel driver. No dependency on GenAI, LLMs, SLMs, or MCP gateways, and zero token cost — a flat, predictable TCO.

Not in the path — and not underneath it
  • LLM / SLM
  • MCP gateway
  • Kernel shim
  • Ring 0 driver
  • Token meter
  • Cloud round-trip
Two sensors run on one endpoint: Browser Sensor on the browser plane (Chrome · Chromium · Edge · Safari) and System Sensor on the system plane (Windows · macOS · Linux). Neither uses a kernel agent. Both feed the CognitionAI Engine, which runs on the endpoint and reads the intent inside each AI interaction with no model round-trip. The engine then gates the interaction: benign traffic passes through untouched; hostile traffic is neutralized before it executes. The Enterprise Console sits outside the endpoint, receiving telemetry and verdicts one-way. Nothing in or beneath the platform depends on an LLM, SLM, or MCP gateway — so no token meter, no added latency.
See
Every AI interaction

Surface every GenAI session, tool call, and agentic workflow as it happens — across browser and system.

Comprehend
The intent inside it

Read what each AI interaction is actually trying to do — not just the tokens it contains.

Enforce
Before it executes

Neutralize the malicious ones at the point of interaction — autonomously, with no analyst in the loop.

No Kernel Agent
Sensor on the host
Day 1
Time to full protection
API
Integration architecture
Zero
Disruption to existing stack