About Us
We're not chasing trends. We're solving the toughest problem in cybersecurity.
AISLE was built by security leaders and AI scientists who've seen both the scale of the threat and the limits of today's tools firsthand.
Our goal isn't to improve vulnerability management. It's to end the backlog. To close the loop.
We believe in something bold but measurable: zero exploitable vulnerabilities. Not as a slogan, but as an achievable outcome.
Our Story
We started AISLE after seeing the same pattern again and again: attackers move faster, and defenders are forced to catch up, with too many tools, too much manual work, and a backlog that never disappears.
We built AISLE to break that pattern, not by adding another dashboard, but by creating something fundamentally different: an end-to-end autonomous Cyber Reasoning System that finds, fixes, and verifies vulnerabilities at machine superhuman speed and scale.
AISLE cuts remediation time from months or weeks to minutes and seconds, bringing us closer to a future where software defends itself.
Built by engineers. Accelerated by AI. Designed for reality.
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Angel Investors
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Latest Posts
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FeaturedCompanyAISLE and Cohere to Join ForcesAISLE is joining Cohere to unite autonomous security systems and sovereign foundation models. Learn about the future of both companies.Ondrej Vlcek, Jaya Baloo, and Stanislav FortOctober 15, 2026
ProductRolling Out in October: Prove It, Fix It, Block ItSee how AISLE gets you from finding to fix faster: proof of exploitability, memory-safety proofs, an MCP server, and an AI package firewall.Jiri TumaOctober 14, 2026
ResearchBefore the CVE: Mining Open-Source Commits for Negative-Day VulnerabilitiesLearn what happened when AISLE researchers tested LLMs to find the best way to identify negative-day vulnerabilities at scale.Dmitrijs TriznaOctober 2, 2026
ResearchAISLE Discovers 16 CVEs in Wireshark, the World’s Most Popular Network Protocol AnalyzerLearn about the 16 CVEs AISLE received in Wireshark, and what these discoveries say about the state of AI cybersecurity. AISLE Research Team September 16, 2026
ResearchAISLE Discovers 6 High and Critical CVEs in FFmpegAISLE's AI-native engine found six high and critical CVEs in FFmpeg, including a 9.8 remote heap overflow and a stack overflow that survived 19 years.AISLE Research Team August 27, 2026
ResearchAttackers Are Using AI to Find Vulnerabilities in Your Code. Your SAST Was Never Even Looking for ThemCan AI-native code analysis replace SAST, or is it just a complement. Here's what data from real-world results shows.Ondrej VlcekAugust 12, 2026
ResearchAISLE Finds 21 Security Issues in FFmpeg, Including 6 New CVEsAISLE uncovered 21 issues in FFmpeg, including 6 new CVEs spanning code execution and out-of-bounds reads. All patched, with commit links inside.AISLE Research Team August 5, 2026
ResearchAISLE Discovers a One-Click RCE Vulnerability in Cursor, VS Code, and Google AntigravityLearn how our AI found a one-click RCE vulnerability in 3 code editors: Cursor, VS Code, and Google Antigravity.Stanislav FortJuly 31, 2026
ResearchThe Model That Fixes Your Code Might Hack the Linux KernelLearn how easy it is to trojanize a model, and what defenders can do to protect their supply chains from this emerging threat.Patrik MadaJuly 28, 2026