Overview
CYBRET AI builds autonomous, AI-native cybersecurity systems that aim to prevent breaches by turning cybersecurity into an autonomous intelligence function. Its core tech weaves identities, assets, logs, and threat signals into real-time security knowledge graphs that support contextual threat detection, attack-path reconstruction, and machine-driven responses, and it is developing an autonomous MDR platform that can connect with 90+ security tools for rapid detection and response. It differentiates itself by combining a unified, real-time reasoning layer with autonomous MDR across many tools and by emphasizing machine-speed detection and studying AI-driven attackers, rather than relying on traditional rule-based approaches. Its goal is to replace fragmented security tooling with an intelligent, self-operating system that protects enterprises and critical infrastructure.
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Simplify's take
What believers are saying
- December 2025 stealth launch and Nordic backing signal credible founder-market validation.
- September 2026 research on AI attack planning strengthens CYBRET's threat narrative.
- May 2026 messaging aligns with AI-driven attacker trends, sharpening enterprise urgency.
What critics are saying
- CYBRET AI remains early-access only in 2026, with no public revenue proof.
- Crowded AppSec incumbents can copy reachability workflows before CYBRET builds distribution.
- If autonomous agents misclassify exploitability, customers will abandon the platform after one breach.
What makes CYBRET AI unique
- CYBRET AI maps reachable attack paths, not raw scanner findings, since 2026.
- Adrian De Gendt frames the product around autonomous reasoning over real application behavior.
- Its graph-based security model unifies APIs, telemetry, and exploitation logic into one layer.
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