Models
CGN: Cogensec Generative Network
A family of security-focused generative models trained for vulnerability analysis, threat reasoning, and adversarial evaluation. CGN powers Cogensec research and product agents, and is released openly for the security community.
CGN-Reason
Specialized for long-horizon security reasoning across vulnerability reports, threat intelligence, and incident-response playbooks.
Training data: Security Reasoning CorpusCGN-Attack
An adversarial evaluation model that generates and refines jailbreaks, prompt injections, and multi-turn attack chains for red teaming.
Training data: Jailbreak CorpusArchitecture principles
- →Mixture-of-experts routing for security-specific tasks
- →Constitutional guardrails aligned to NIST and OWASP frameworks
- →Tool-use grounding with deterministic verification hooks
- →Adversarial training on curated attack corpora
- →Interpretable confidence scoring for risk amplification
- →Deployment-ready quantization for edge and air-gapped environments