Escape Raises $18M in Series A Funding to Automate Security Vulnerability Detection

Cybersecurity has a timing problem. Code ships fast. Attackers move faster. Security teams are usually somewhere in the middle trying to close the gap before something ugly slips into production. That tension is exactly where Escape decided to build its company. Founded in 2020 by Tristan Kalos and Antoine Carossio, Escape stepped into the ring with a clear philosophy. If modern software is moving at machine speed, security needs to operate with the same rhythm.

This week that vision picked up serious momentum. Escape has secured $18M in Series A funding led by Balderton Capital, with participation from Uncorrelated Ventures and returning investors IRIS and Y Combinator. The round pushes the company’s total funding to roughly $23M since launch. Congratulations to Co-founder & CEO Tristan Kalos and Co-founder & CTO Antoine Carossio for turning a sharp idea into a company investors are eager to back.

Escape built its reputation around a simple but uncomfortable truth. Traditional security tools tend to check the obvious things. Missing headers, outdated libraries, configuration mistakes. The real trouble usually lives deeper inside the logic of an application. The workflows. The APIs. The places where modern cloud software actually breathes. Escape designed its platform to test that layer. An AI native offensive security system that blends attack surface management, business logic aware dynamic application security testing, and AI driven pentesting into one continuous loop from discovery to remediation.

Think about what that means for engineering teams shipping code daily. Instead of running security checks once in a while and hoping nothing breaks later, Escape’s AI agents simulate real cyberattacks against applications and APIs while the system is running. The platform identifies vulnerabilities, surfaces weaknesses in business logic, and recommends fixes before those flaws become expensive lessons. Security that moves with development instead of slowing it down.

That approach has already reached scale. Escape has helped secure the applications of 1,000+ organizations worldwide across the United States and Europe. For a company still early in its journey, that kind of adoption signals something important. Developers want security that feels native to how they already build software.

Behind the product is a leadership team that understands the terrain. CEO Tristan Kalos brings machine learning expertise and a builder’s instinct for developer tools. CTO Antoine Carossio, previously a security engineer at Apple, brings the offensive security mindset required to think like an attacker before the attacker shows up. Supporting the charge are Head of Engineering Mathieu Rousse, formerly an engineering team lead at Datadog, and US Accounts Director Hanna Givelber, whose experience includes Datadog and Google.

There is also a larger shift happening around this round. Developers now outnumber security teams by a wide margin, and AI assisted coding is only accelerating that imbalance. The answer is not more dashboards or longer vulnerability reports. The answer is systems that continuously probe, test, and pressure the application surface the way attackers do.