A former Avast CEO is bringing enterprise-grade AI vulnerability detection into the most restricted computing environments in the world. AISLE, the cybersecurity startup founded by Ondrej Vlcek, unveiled Snapshot this week—a product that deploys artificial intelligence directly inside customer networks where data never touches the internet.
What Happened
AISLE launched Snapshot, an on-premises vulnerability scanner powered by AI that proved itself by identifying every OpenSSL zero-day vulnerability discovered in 2024. Unlike traditional security tools that upload code samples to cloud analysis platforms, Snapshot operates entirely within a customer’s private infrastructure, whether that’s a private cloud, on-premises data center, or fully air-gapped network isolated from external connections.
The timing matters. OpenSSL vulnerabilities have become critical security flashpoints for enterprises worldwide. By demonstrating it found every single zero-day this year, AISLE is making a bold statement about its AI’s detection capabilities—without relying on internet connectivity.
Key Points
Snapshot addresses a fundamental tension in modern cybersecurity: enterprises need advanced threat detection, but regulated industries cannot risk exposing their source code to cloud vendors. Banks, defense contractors, government agencies, and healthcare systems operate under strict compliance regimes where data sovereignty isn’t negotiable.
The technology represents a significant shift in how AI security tools operate. Rather than sending suspicious files to centralized servers for analysis, Snapshot brings the intelligence to the fortress. This approach eliminates the data exfiltration risk that many security teams worry about when adopting cloud-based scanning solutions.
Vlcek’s background at Avast—one of the world’s largest antivirus companies—provides credibility. He understands both the technical requirements of vulnerability detection and the enterprise sales cycles required to reach regulated industries.
What This Means
AISLE’s launch signals growing demand for AI security tools that respect data boundaries. As artificial intelligence becomes more sophisticated, organizations are increasingly willing to deploy these systems on-premises rather than defaulting to cloud-based alternatives.
For regulated industries facing compliance audits, this product could become essential infrastructure. The ability to leverage cutting-edge AI detection while maintaining complete data control addresses one of cybersecurity’s most persistent paradoxes.
The broader implication: the future of enterprise security may not be centralized in cloud platforms, but distributed across thousands of private networks running identical intelligence. This could reshape how security vendors think about scaling their products. Instead of concentrating computing power in data centers, companies like AISLE are proving you can deploy powerful AI systems where the data actually lives.
