The Defense Layer
for an
Autonomous Future
Cygient is in stealth. We're building the threat intelligence and defense infrastructure for AI agents — a problem existing security tools were never designed to see.
What we're building
and why it matters
Enterprises are deploying AI agents in production. The security tooling has not kept up. Firewalls don't understand prompt injection. SIEMs have no concept of agent hijacking. Endpoint tools were built for processes, not autonomous reasoning systems.
The result: organizations are adopting agentic AI without any visibility into what those agents are actually doing, what they're vulnerable to, or how an adversary would exploit them.
Cygient is being built to close that gap — from the ground up. A deception intelligence network that captures adversarial AI agents in the wild. A defense layer that blocks AI-specific attacks before they reach your models. An offensive security engine that red-teams your AI stack the way real attackers would.
We're in stealth. The platform is not yet live. If you're an enterprise deploying AI in production and want early access, the waitlist is the right place to start.
How we think
about the problem
Three principles that define how Cygient approaches AI security — and why they produce a fundamentally different kind of platform.
Our threat intelligence comes from adversarial agents caught in the wild — not from red-team exercises in a lab. Every IP, TTP, and jailbreak technique we catalog is sourced from real behavior against real decoy infrastructure.
Learn → Defend → Attack feeds back into Learn. The deception network improves ThreatGate rules. ThreatProbe findings sharpen the sensor network. No layer operates in isolation — each makes the others better.
Incident response is too late. We focus on preemptive defense: identifying attack patterns before they reach production systems, red-teaming AI stacks before real adversaries do, enforcing policy before a compliance failure occurs.
The people behind
the platform
A research-led founding team with backgrounds in threat intelligence, adversarial security research, and enterprise security infrastructure.
Background in threat intelligence platform development and adversarial security research. Nikolaos founded Cygient after identifying a structural gap: the security tooling being sold to enterprises deploying AI was never built to understand AI-specific attacks.
Cygient is his attempt to build that infrastructure properly — from first principles, not from a pivot.
- Threat Intelligence Platform Lead at Avast / Gen Digital — 10+ years
- Multiple granted cybersecurity patents including a US patent
- Conference speaker: RSA, BSides, AVAR, CARO, GSMA
- MBA thesis: Impact of LLMs in cybersecurity
- Active AI red teaming research — adversarial agent behavior, jailbreak classification
- Based in Prague, Czech Republic — engineering Cygient