AISLE launches Snapshot for secure private cloud use

AISLE has launched Snapshot, a vulnerability discovery product for private cloud, on-premises and air-gapped environments. It is aimed at organisations that cannot send source code or security data to external AI services.

Snapshot is designed for regulated and security-sensitive businesses that need to keep code and security information within their own systems while still using AI-based security testing.

According to AISLE, Snapshot combines AI-based code analysis with AI-guided fuzzing. It verifies findings, filters out false alarms and ranks remaining vulnerabilities by business impact.

The launch comes as software security teams face a growing number of disclosed vulnerabilities and tighter rules on data handling. AISLE said reported CVEs are up 42.5% year on year through mid-2026, while attackers are also using AI to speed up discovery and exploitation.

Many companies in regulated sectors have been unable to use newer AI security tools because sending code to outside services can create compliance and sovereignty problems. Snapshot is intended to address that by deploying within a customer's private cloud, on-premises systems or fully air-gapped environment.

AISLE said organisations receive verified findings with enough context to move from detection to remediation. The system is intended to work across large codebases and broad software portfolios without requiring security teams to manage token-based pricing or move sensitive data beyond internal control.

Cost focus

AISLE said Snapshot delivers vulnerability discovery at about 10 times greater cost efficiency than frontier models such as Anthropic's Mythos. It also uses flat pricing that does not depend on token usage.

The company attributed part of that cost profile to model selection, saying users can rely on AISLE-optimised cyber security large language models or existing models depending on the task. That approach avoids using the largest models at every stage of analysis.

According to AISLE, Snapshot's false positive rate is under 5%. That claim is significant in a market where security teams often struggle with large volumes of alerts that require manual checking before remediation can begin.

Ondrej Vlcek, Co-Founder and Chief Executive Officer of AISLE, said the product was built for customers facing both high security demands and strict operational controls.

"The organizations with the greatest pressure to secure software often face the strictest requirements around privacy, sovereignty, and operational control," said Ondrej Vlcek, Co-Founder and Chief Executive Officer of AISLE.

"They can't send their code to external services, but they also can't afford to wait or to throw more people at the problem. AISLE Snapshot is designed to be up and running quickly, with no added strain on security teams. And because we're smart about model selection, matching the right model to the right task rather than defaulting to frontier, organizations get faster performance at a fraction of the cost. The result isn't a raw dump of findings. It's verified, prioritized intelligence that security teams can act on immediately," said Vlcek.

Track record

AISLE said it has discovered and responsibly disclosed more than 225 CVEs across software projects including OpenSSL, Linux, cURL, Apache, Mozilla, Redis, OpenEMR and Elastic. It added that its broader platform covers vulnerability discovery, prioritisation, remediation, verification and self-improvement.

To support its technical standing, AISLE pointed to benchmarking work. The company said it ranks first in three categories of UC Berkeley's independent vulnerability detection benchmark: CVE volume, CWE breadth and MITRE Top-25 reach, ahead of Google and Anthropic.

That competitive framing reflects a wider contest among security vendors and AI model developers to show they can find more serious flaws with fewer false positives. For buyers in heavily regulated industries, deployment options and data control are becoming as important as raw detection rates.

Snapshot is positioned squarely at that part of the market. Its release underlines how AI security suppliers are starting to package tools for environments where cloud-based AI services remain difficult or impossible to use.

AISLE said Snapshot lets organisations see their full exposure in days while keeping source code and security data under customer control.