AI-native application vulnerability remediation and verification platform
AISLE is an AI-native cybersecurity startup focused on eliminating enterprise software vulnerabilities through fully autonomous discovery, triage, remediation, and verification.
The company was founded by former Avast CEO Ondrej Vlcek and longtime CISO Jaya Baloo, as well as AI researcher Dr. Stanislav Fort (whose previous experience includes Google Brain, DeepMind, and Anthropic).
AISLE emerged from stealth in October 2025 and has not announced any significant investments. The company currently lists six angel investors on its website: Jeff Dean (chief scientist at Google), Thomas Wolf (co-founder and chief scientist at Hugging Face), Olivier Pomel (CEO at Datadog), Aparna Chennapragada (CPO for AI Experiences at Microsoft), Ian Goodfellow (research scientist at DeepMind), and Dwarkesh Patel (host of Dwarkesh Podcast).
The company positions its platform as a cyber reasoning system capable of driving vulnerability backlogs to zero. AISLE continuously ingests and analyzes the full application code stack, including first-party code, third-party libraries, and dependency graphs, and automatically generates and verifies fixes inside a continuously updated “enterprise twin” that mirrors the customer’s real software environment.
Early evaluations reported over 100 previously undiscovered vulnerabilities identified across foundational opensource components such as the Linux kernel, cURL, OpenSSL, and Apache HTTP Server. The system provides configurable autonomy levels, allowing organizations to toggle between human-in-the-loop workflows and fully autonomous patching, while maintaining safety through continuous verification.
In a world where more than 40,000 new vulnerabilities appear annually and attackers can exploit them within days, AISLE aims to invert the advantage by shrinking remediation cycles from months to minutes. Its platform is targeted at large, complex enterprises — particularly those in regulated or critical sectors — seeking a realistic path toward instantaneous, automated and a materially reduced window of exposure.