1
Threat Models
Detection across network, identity, and application layers.
Product
Cyber Intelligence
Adversarial ML and threat detection stack.
SOC
Integrated
AI-aware
Threats
Red-team
Continuous
Cyber Intelligence combines adversarial machine learning, anomaly detection, and agent-assisted investigation for security operations. It is co-developed with Zansoc’s Security Lab to harden both IT environments and the AI systems that increasingly sit inside them.
Capabilities
Built for teams that ship.
2
Adversarial Eval
Red-team suites for models and prompts.
3
SOC Agents
Investigation copilots with tool-mediated actions.
4
Model Armor
Hardening packs for production AI surfaces.
In depth
01
Defend the enterprise and the model
Attackers target both infrastructure and AI endpoints. Cyber Intelligence monitors classic signals while also watching for prompt injection, data exfiltration through tools, and model-supply-chain anomalies.
02
Investigation at machine speed
Agents gather context across SIEM, EDR, and ticketing systems, draft timelines, and propose containment steps — always behind policy gates so automated response never exceeds authorized scope.
03
Research-backed hardening
Techniques from our adversarial robustness publications ship as evaluation packs and training recipes. Customers get the same red-team methodology we use internally before declaring a model production-ready.
Next step