Escape secures $18M Series A to develop AI cybersecurity agents
Escape secures $18M Series A to develop AI cybersecurity agents
https://tech.eu/2026/03/10/escape-secures-18m-series-a-to-develop-ai-cybersecurity-agents/
Publish Date: 2026-03-10 03:30:00
Source Domain: tech.eu
Escape,
an offensive security engineering platform, has raised $18 million in a Series A funding round to develop AI agents designed to automate the security lifecycle. The
round was led by Balderton, with participation from Uncorrelated Ventures and
existing investors IRIS and Y Combinator.
Advances
in AI have shortened the time between code deployment and the exploitation of software vulnerabilities. While recent industry efforts have focused on securing code
within developers’ environments, many security risks arise in live systems
where configurations, integrations, authentication flows, and business logic
operate in production.
Escape
was founded by Tristan Kalos (CEO) and Antoine Carossio (CTO) to address
limitations in traditional application security models. The company aims to replace legacy
scanners and manual offensive security processes with AI agents designed to
automate security testing and remediation across the development lifecycle.
The
platform focuses on what it describes as offensive security engineering, an approach that uses AI agents to identify, test, and remediate
vulnerabilities directly within engineering workflows. Escape’s agents automate
tasks such as attack surface discovery, continuous security testing, and
remediation support, helping teams move more quickly from vulnerability
detection to resolution while reducing operational overhead.
Security
teams are outnumbered and managing siloed, manual processes. In a world where
code is written and attacked at the speed of AI, this approach is no longer
sustainable. We are building Escape as an offensive security engineering
platform designed to address this challenge at scale.
said Tristan Kalos, CEO
and co-founder of Escape.
Escape’s
AI agents are designed to operate in live environments, simulating attacker
behaviour to identify potential logic flaws and data exposure risks and support
remediation before they can be exploited.
In a
recent analysis,…
