AISLE Launches AI Cyber Reasoning System to Shrink Patch Times from Weeks to Minute

AISLE has entered the cybersecurity arena with an AI-native Cyber Reasoning System (CRS) built to do what most tools don’t: fix vulnerabilities—fast. While attackers increasingly use AI to weaponize new flaws in roughly five days, most organizations still average ~45 days to remediate critical issues. AISLE’s answer is an autonomous remediation pipeline that identifies, prioritizes, generates patches, and verifies the results against a continuously updated software-stack twin, collapsing MTTR from weeks to minutes.At the heart of AISLE’s approach is a closed-loop workflow tuned for both known and zero-day vulnerabilities. The CRS continuously analyzes first-party and third-party code, going beyond signature checks to surface complex classes of bugs—race conditions, business-logic flaws, and missing authentication—that traditional scanners miss. When the system proposes a fix, it spins up an on-the-fly Docker image of a stack twin to run targeted validation and regression testing. Only after the patch passes verification does AISLE push changes directly to Git, completing the remediation cycle without waiting on external vendor patches.AISLE’s positioning is explicitly defender-first. CEO Ondrej Vlcek argues that AI has so far tilted the economics of cyber in favor of attackers; AISLE intends to flip that advantage by removing the human bottleneck from remediation. For adoption, the company offers configurable autonomy: customers can start in copilot mode (human-in-the-loop review and approvals) and graduate to full automation as trust builds. The vision is ambitious—self-defending software stacks capable of sustaining a state of “zero exploitable zero days.”Early traction underscores the thesis. In initial weeks, AISLE reports 100+ newly discovered vulnerabilities across cornerstone projects like the Linux kernel, OpenSSL, cURL, and the Apache stack—evidence that the system can proactively surface and neutralize high-impact issues before they’re broadly exploited. Strategically, AISLE’s end-to-end automation addresses the market’s real choke point: not finding more alerts, but closing them with verified fixes at machine speed.For security leaders facing relentless vuln volume, third-party lag, and shrinking patch windows, AISLE proposes a pragmatic on-ramp to autonomy—meet existing workflows today, automate tomorrow, and aim for minutes-level remediation at scale. If widely adopted, AISLE’s CRS model could reset expectations for MTTR, reduce breach exposure windows, and materially shift cyber’s cost curve back toward the enterprise. #AISLE #CyberReasoningSystem #AutonomousRemediation #AIforCyberDefense #ZeroDay #VulnerabilityManagement #MTTR #DevSecOps #SoftwareTwin #Docker #GitOps #SupplyChainSecurity #Linux #OpenSSL #cURL #Apache #SecurityAutomation #CopilotMode #HumanInTheLoop #SelfDefendingStacks

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