CodeWall launches $4M round for AI agents that hack enterprises
London-based offensive security startup CodeWall Ltd. has raised $4 million to deploy autonomous AI agents that attack enterprise networks without prior credentials or insider knowledge. The agents are designed to simulate real-world hackers, probing for vulnerabilities across multiple attack surfaces simultaneously.
Kontext’s software intercepts requests from deployed AI agents to enforce runtime policies, whereas CodeWall’s approach appears to focus on mimicking external threats rather than governing internal behavior.
The startup’s launch comes amid broader activity in AI agent security, including Island’s $400 million round at a $6.4 billion valuation. While many startups in this space emphasize defense—such as Kore.ai’s auto-tuning engine or Island’s browser-based security—CodeWall’s product is positioned as adversarial. Its agents are described as operating like red teams, testing whether enterprises can detect and block attacks that originate without privileged access.
The $4 million round could suggest early demand for offensive AI security, though it remains unclear whether enterprises will adopt autonomous attackers at scale. Questions linger about how CodeWall’s agents will handle false positives or whether clients will trust AI to simulate hackers without unintended consequences.
Sources: siliconangle.com
“CodeWall’s funding may signal enterprise interest in autonomous AI that mimics attackers, though the market for offensive AI security remains unproven.”
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