"Software teams have always lived with a built-in tension - developers push to ship fast, while security teams pump the brakes to assess risk. Now, with AI flooding the enterprise, that friction is spiking. One recent survey found a staggering 322% jump in privilege-escalation risks tied to AI-generated code. The root problem isn't new - people and machines are routinely overpermissioned, and fixing it is notoriously hard."
"But the rush to adopt LLMs and autonomous agents is exposing just how dangerous overpermissioning has become. Real progress will require engineering and security to move in lockstep, starting with a smarter, shared approach to agent and LLM authorization. That alignment requires security and development teams to jointly express, test, enforce, and audit authorization policies in real time, across both traditional applications and dynamic AI-driven environments. Instead of working in silos, they collaborate to determine whocan access what and perform which actions across systems, APIs,"
"This is the foundation of secure-by-design coding, and it's essential for shifting a development culture in which 80% of companies knowingly ship vulnerable code, driven in large part by overreliance on AI-generated outputs that aren't thoroughly vetted. The Path Forward: Developer-First Security Bridging the gap starts with technology that brings security directly into the development workflow without slowing it down."
Software development faces increased friction as AI adoption amplifies privilege-escalation risks, with a survey finding a 322% jump tied to AI-generated code. Overpermissioning of people and machines creates systemic danger, especially with LLMs and autonomous agents. Engineering and security must move in lockstep to jointly express, test, enforce, and audit authorization policies in real time across applications, APIs, and agents. Declarative, developer-first security embeds policies — access controls, encryption, audit, and data-retention rules — into the development workflow as testable, traceable artifacts. Such alignment reduces vulnerabilities driven by unvetted AI outputs and shifts culture toward secure-by-design coding.
Read at DevOps.com
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