Learning Center
Everything you need to know about sovereign AI cybersecurity. Concepts, best practices, and guides from the team that secures the world's most critical software.
Why Legacy SAST Scanners Leave You Exposed to AI-Armed Attackers
Vulnerabilities that stayed invisible for years are now found quickly, cheaply, and autonomously. The evidence shows AI-native analysis is not a supplement to legacy SAST, but the step change defenders need.
Introducing Sovereign AI Cybersecurity
Sovereign AI cybersecurity puts frontier-class defense in an environment you control. Your data, your code, and the model itself stay yours.
Your Security Program Shouldn’t Depend on Geopolitics You Can’t Control
Governments treat frontier AI as strategic infrastructure. Cybersecurity built on a model you don't control carries that risk. Sovereignty removes it.
Your Security Tooling Shouldn’t Force You to Give Up Sovereignty
Regulated and security-sensitive enterprises needn't settle for weaker cybersecurity. Frontier-class defense now runs anywhere, even air-gapped.
The AISLE Guide to Sovereign AI Cybersecurity
- Why your security program shouldn't depend on geopolitics
- How specialized AI systems beat frontier models at cyber
- Why legacy SAST leaves you exposed to AI-armed attackers
How Specialized AI Systems Beat Frontier Models at Cybersecurity
For problems that are bounded, measurable, and tool-heavy, a specialized AI system often beats a bigger general-purpose model. Cybersecurity is exactly that kind of problem, and here is the evidence.
Sovereign AI Cybersecurity Systems Are More Cost-Efficient Than Frontier Models: Here’s the Data
Sovereign AI cybersecurity systems match compute power to security need, making them far more cost-efficient than frontier models and freeing teams to analyze every line of code rather than ration capability.
Why AI-Native Cybersecurity Is the Best Approach to Vulnerability Management
The only way to fix vulnerabilities fast enough to stay ahead of AI-powered threats is to use AI at every stage of defense, from detection to remediation.
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ResearchAISLE Found Compromised LiteLLM Package 3 Minutes After ReleaseOn 21 October 2026, someone published litellm 1.107.0 to PyPI. AISLE's dependency firewall found a credential stealer in the wheels in just 3 minutes.AISLE Research Team October 21, 2026
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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
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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