San Francisco and Prague — October 16, 2025 — Leads & Copy — AISLE™ has emerged from stealth, introducing an AI-native cyber reasoning system (CRS) that autonomously identifies, triages, and remediates both known and zero-day application vulnerabilities. According to the company, unpatched software vulnerabilities continue to be exploited, and with AI, malicious actors can quickly scale and exploit these vulnerabilities.
AISLE’s solution reduces the remediation loop from weeks/months to days/minutes and verifies fixes against an AI twin of an enterprise’s software stack. This helps security professionals manage vulnerability backlogs and reduces the risk of accelerating remediation.
CEO and co-founder of AISLE, Ondrej Vlcek, stated that AISLE shifts the advantage back to defenders by solving the problem of fast and accurate vulnerability remediation. The AI-native cyber reasoning system identifies software vulnerabilities, delivers ready-to-merge patches and pull requests (PRs), and provides a blueprint of the enterprise’s software stack. The system can simulate changes and detect regressions before PRs are pushed into production.
AISLE was founded by cybersecurity and AI experts, including CEO Ondrej Vlcek, COO Jaya Baloo, and Chief Scientist Stanislav Fort. The company is backed by angel investors such as Jeff Dean from Google, Thomas Wolf from Hugging Face, Olivier Pomel from Datadog, and Aparna Chennapragada from Microsoft.
AISLE’s AI-driven scanning and real-time verification capabilities aim to help organizations mitigate vulnerabilities before they are exploited and patch with confidence.
Contact: Geena Pickering, aisle@lookleftmarketing.com
Source: AISLE™
