01 · MODEL VULNERABILITY PLATFORM
Famous models, real CVEs/CWEs
A living catalog of frontier and open models with mapped exploits, reproducible PoCs, and remediation notes for defenders.
Snowcrash now spans four tightly-coupled components: a public platform tracking famous AI models and their CVEs/CWEs, an on-prem defender that watches every LLM, agent, MCP server, tool, and workflow you deploy, an adaptive router that reroutes risky traffic to safer models in real time, and the red-teaming engine that powers both intelligence and defense.
We now organize Snowcrash around the four capabilities customers ask for most. They build on each other, and the order reflects how teams typically adopt the platform: start with public model intelligence, harden production with the on-prem defender, add the adaptive router, and continuously enrich everything with our offensive engine.
A living catalog of frontier and open models with mapped exploits, reproducible PoCs, and remediation notes for defenders.
Deploy on-prem to watch LLMs, agents, MCP servers, tools, and workflows with continuous scanning and policy enforcement.
Works alongside the defender to route risky queries toward safer models or internal fallbacks the moment misbehavior is detected.
Our continuous offensive engine discovers new exploits, fuels the public intel platform, and stress-tests your on-prem deployment.
Famous foundation models and OSS releases are accumulating CVEs/CWEs, yet enterprises lack a shared source of truth, real-time monitoring across their agent stacks, or a safe way to re-route traffic when something goes sideways.
Security teams are forced to stitch together intel wikis, SIEM alerts, and manual red team notes. Coverage gaps stay open for weeks while agents continue to call sensitive tools.
Each layer feeds the next: public model intelligence informs your defenders, the on-prem software streams live telemetry into the adaptive router, and the red-teaming engine continuously uncovers new exploits that sync back into both runtime defenses and the public platform.
Search famous models by version, vendor, or capability, and see confirmed exploits with technical write-ups, severity, affected agents, and compensating controls.
Drop-in deployment that instruments LLMs, MCP servers, tools, and workflows to watch for exploit signatures, data leakage, or rogue agent behavior as it happens.
Co-resident with the defender, the router changes which models serve a request when threats are detected, honoring your compliance, cost, and latency rules.
We use the same offensive engine internally to discover new jailbreaks, tool-abuse chains, and data exfil vectors that feed the public database and harden your on-prem deployment.
Non-dilutive grants: DARPA, AFWERX, SpaceWERX.
Download PDF · Coming soon
Download PDF · Coming soon
Download PDF · Coming soon
Book a pilot. We’ll stand up the public model intelligence feed, deploy the on-prem defender + router in your environment, and aim our red-teaming engine at the models that matter most to you.