AIis fundamentally different from traditional software. Still, when it comes tosecuringAIapplications, the underlying principles are not entirely new. In our latest blog, we'll look at four familiar concepts fromapplicationsecurity—open-source scanning, vulnerability testing,applicationfirewalls...
AI-driven development is rewriting the rules ofapplicationsecurityas we know it. By theendof 2024, nearly one-third of enterprise code wasAI-generated, and Gartner projects that number will surge to 75% by 2028.
Snyk is theAISecurityFabric.Secureat inception with continuous, autonomous defense forAI-generated code andAI-nativeapps.
Build and runsecurecloudapps, enable zero trust cloud connectivity, and protect workloads from data center to cloud.Zscaler ThreatLabz 2026AISecurityReport. Discover how the rapid growth ofAIadoption is creating criticalsecuritygaps across global enterprises.
Lukas has contributed toAIsecuritythrough his research on vulnerabilities inAI-drivenapplications. Notably, he co-authored a report on a critical drive-by remote code execution (RCE) vulnerability in Windows 10, which allowed attackers to execute arbitrary code via malicious websites.
Such details provide a deeper understanding and appreciation for End Ai Application Security.
MendAISecureAIpoweredapplications.AIred teaming Test andsecureconversationalAI. Webinar: maturing yourapplicationsecurityprogram -aibased remediation icon.AIbased remediation workflows Automate remediation withAI.
End-to-endcloud solutions for scalable,securegrowth.AIpenetration testing (different fromAI-powered penetration testing) is the process of testing thesecurityofAI-based systems, such as machine learning models, chatbots, and otherAI-drivenapplications.
AIRecipe Creator. AbacusAIAgent generates anAIappwhere users input 3 ingredients, and theAIcreates unique, detailed recipes with full instructions. Results are presented in clean, easy-to-read recipe cards.
