Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How attackers use AI models to find code vulnerabilities

AI models accelerate software development, but attackers use those same capabilities to hunt for pipeline vulnerabilities. Asaf Saar (EVP and Chief Product Officer, Mend.io) and Christian Jensen (VP Engineering, Tricentis) break down why full visibility is required to secure AI-native software.

Detection scaled. The loop did not.

Findings got cheap. Verified closure did not. That AppSec remediation gap is the actual problem. AppSec spent a decade winning the wrong race. We got very good at finding things. Scanners in CI. SCA on every manifest. SAST on every pull request. Container and IaC checks on the way to the cluster. Then AI arrived and did what AI does to a solved problem: it made discovery cheaper, louder, and continuous. The same model that writes the function will also enumerate the ways to break it.

Securing autonomous AI agents: regulatory risk and governance for modern AppSec

Autonomous AI agents writing and executing code at machine speed present an urgent compliance challenge for modern software organizations. As global regulations tighten, engineering leaders must establish clear governance layers over agentic workflows, external tool calls, and Model Context Protocol integrations to ensure full accountability. In this session, Mend.io experts Asaf Saar and Ben Goldberg unpack the intersection of AI compliance, software supply chain security, and enterprise risk management. Learn how to bridge the accountability gap without sacrificing development velocity.

Mend Renovate Enterprise: managing dependencies at agentic scale

Automated dependency updates are not new. For years, Mend Renovate has scanned repositories, flagged outdated or vulnerable packages, and opened pull requests. What has changed is the sheer velocity of the pipeline. AI coding agents now write a significant share of production code, introducing open source packages continuously across thousands of repositories.