Full attack surface coverage — runtime monitoring, model health, agent security, supply chain analysis, and audit-ready compliance. Everything SPR{K3 builds, deployed for your infrastructure. No access to your systems required.
Static analysis of your ML codebase. Pickle, torch.load, trust_remote_code, supply chain, CI/CD exposure. 760+ detection patterns from real CVE research.
Runtime process monitoring. Impossible-state detection via decay correlator. Agent mesh across your infrastructure. Metadata only — never reads file contents.
Prompt injection, tool misuse, heartbeat anti-tamper, relay poisoning detection. All detection client-side, server sees metadata only.
LLM cognitive health monitoring. Degradation, poisoning, sandbagging, reasoning consistency. Five attack pattern classes specific to your application layer.
Running ML in production with no runtime visibility into what models and pipelines are executing. The assessment finds the exposure. Defend closes the gap.
Building infrastructure other teams run ML on. A single unsafe deserialization in your platform is a vulnerability in every customer environment.
Auditors want evidence. NIST AI RMF reports generated from actual findings, not self-assessments.
Managing training clusters, serving infrastructure, model registries. Full stack visibility from code to runtime.
Documented vulnerabilities specific to your ML stack. Scope gap analysis, propagation paths, remediation guidance.
Maps every ML component to its vendor threat model. Identifies where vendor assumptions don't hold in your topology.
Five cognitive attack pattern classes across your LLM application layer. Context integrity, pipeline taint, reasoning consistency.
Cross-repository temporal correlation across your entire ML dependency tree. Package integrity, model provenance.
Pre-deployment certification. SOC 2 evidence, board reporting artifact, NIST AI RMF mapping.
Weekly scans, prioritized triage, early warning on coordinated attacks. Direct access to the research team.
Defend deployed into your ML pipeline. Passive or active mode. Auto-updating pattern registry. Decay correlator for impossible-state detection.
4-hour SLA. When the next supply chain attack hits, we scan your stack and tell you affected or clean.
Response within 1 business day. No access to your systems required.