Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Amazon SageMaker accelerates the process of training and deploying machine learning models. However, as AI adoption scales from individual experiments to enterprise-wide production, the focus of leading Fortune 500 software development operations and security teams must shift from pure velocity to governance.

Agents are writing code, suggesting dependencies, and reviewing PRs, without any knowledge about your trusted package sources, security posture, or governance policies. When agents operate without supply chain context, they introduce risk, create rework, and weaken the guardrails DevSecOps teams rely on to ship with confidence. JFrog is changing that.

For many engineering and security teams, NIST SP 800-218 (Secure Software Development Framework, or SSDF) compliance feels like a hurdle that is too difficult to overcome. To meet these and other emerging regulations and be effective in today’s DevSecOps environment, organizations are moving toward codifying these standards into machine-readable rules, also known as Policy as Code (PaC).

Picture this: Your security team finishes an AI vendor evaluation. The offering looks ironclad, with content filtering, output guardrails, and a stellar red-teaming report. Everyone leaves the meeting satisfied, and another governance box is checked. Six months later, a production incident hits. An AI agent, powered by a model your team “vetted,” starts executing unauthorized deletions in your CRM.

In celebration of International Women’s Month and the 2026 theme, JFrog hosted a virtual fireside chat on March 19, 2026: Women in DevSecOps: Leveraging AI in the Software Delivery Lifecycle.

Note: This blog was originally published in July 2024 and updated on an annual basis. It was most recently updated in April 2026. Regulatory compliance is a common and critical part of today’s rapidly evolving financial services landscape. One new regulation that EU financial institutions must adhere to is the Digital Operational Resilience Act (DORA), enacted to enhance the operational resilience of digital financial services.

Proving compliance is a necessity, but in a world of tightening regulations, the path to compliance is currently paved with spreadsheets, screenshots, and manual attestations. We call this the “Audit Tax”, the millions of dollars and thousands of people hours spent not just integrating security, but on proving you are handling security.

Two significant software supply chain cybersecurity attacks, seven days apart, with one hundred and eighty million weekly downloads between them. The chaos from development teams to the boardroom is real. And the pace is only going to get faster. Much, much faster…

For years, the conversation around digital transformation in Southeast Asia focused on “getting to the cloud.” Today, that conversation has shifted. Our region is no longer just adopting the cloud; we are leapfrogging traditional development cycles by integrating AI and cloud-native architectures at a staggering pace. However, this acceleration has created a byproduct that many organizations are struggling to contain.

The LiteLLM supply chain compromise of March 24, 2026, is not an isolated incident. It is the latest and perhaps most dangerous chapter in an evolving attacker playbook that JFrog Security Research has been tracking for years. The target has shifted from developers to the AI agents that developers now rely on to build software.