Research at Cogensec

We discover novel vulnerabilities in AI systems and publish our findings to advance the security of the entire field.

Key Takeaways

  • Research on multi-agent collusion reveals coordinated attacks where AI agents bypass safeguards through emergent communication
  • Autonomous security operations can scale threat detection and response to enterprise environments without human intervention
  • Constitutional AI frameworks provide interpretable security systems aligned with regulatory requirements
  • Zero-trust architectures with AI agents enable continuous verification across all network boundaries

Technical Definitions

Multi-Agent CollusionAI Security
Coordinated malicious activities where multiple autonomous AI agents work together to bypass security safeguards through emergent communication patterns and collaborative exploitation
Agentic Security OperationsAI Security
Security operations performed entirely by autonomous AI agents without human intervention, capable of detecting, analyzing, and responding to threats at machine speed
Constitutional AIAI Safety
AI systems designed with built-in ethical and operational constraints that align with organizational security policies, regulatory frameworks, and best practices
Zero-Trust ArchitectureCybersecurity
Security framework requiring continuous verification of all users, devices, and agents, operating on the principle of never trust, always verify regardless of network location

Research teams

Autonomous Security Operations

Our research focuses on developing AI agents that can detect, analyze, and respond to security threats autonomously at machine speed while maintaining enterprise-grade reliability.

Advanced Threat Detection

We develop next-generation AI systems that identify zero-day vulnerabilities, predict attack patterns, and adapt to sophisticated threat actors in real-time across hybrid environments.

Zero-Trust Architecture

Our team researches continuous verification frameworks, adaptive security policies, and AI-driven identity and access management for modern enterprise architectures.

Research principles

01

Security as a Science

We apply rigorous scientific methods to cybersecurity, developing systematic approaches to threat detection, response, and prevention. Our research is empirically-driven and designed to scale with the evolving threat landscape.

02

Safety at Scale

At Cogensec, we believe AI safety research is most valuable when applied to real-world security challenges. We study how to make autonomous security agents reliable, interpretable, and aligned with organizational security policies.

03

Transparency & Collaboration

We publish our findings, contribute to open-source security tools, and collaborate with the broader cybersecurity community. We believe collective progress requires open sharing of knowledge and techniques.

04

Human-AI Partnership

Our research focuses on augmenting human security expertise, not replacing it. We design AI systems that work alongside security teams, providing superhuman speed and scale while preserving human judgment for critical decisions.

Join Our Research Mission

We're always looking for talented researchers who share our commitment to advancing safe, reliable AI-powered cybersecurity.