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This article details Cisco's evolution of its Secure Development Lifecycle (CSDL) to integrate AI agents and machine-readable security requirements directly into software engineering workflows. By shifting from manual gates to agentic verification, the approach aims to maintain high security standards while scaling with the complexity of generative AI code generation. The core focus remains on adapting established development processes to ensure resilience in an era where AI drives both innovation and new security challenges.
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Always-On Assurance: How Cisco is Reimagining the Secure Development Lifecycle

Cisco Blogs8 min de cititArticolul și perspectiva sunt în engleză.

Learn how Cisco’s Secure Development Lifecycle (CSDL) is evolving to support AI-driven development, ensuring secure and resilient software at speed.

Generative AI has created a security crisis of scale. It is also the most significant opportunity we have faced in three decades of internet innovation. Every new era of connectivity has made us rethink what resilience means, and this one is no different. AI-generated code brings new complexity, and it also gives us the tools to build security that is more pervasive, proactive, and precise than before. We are moving beyond the manual security gates of the past. We now use AI to analyze code with unprecedented depth. We have already operationalized a capability like this through our open-sourced Foundry Security Spec, an offensive security harness specification. The more critical shift is in how software is engineered. Product managers, architects, and engineers now use AI agents to draft requirements and generate code in real time. That velocity renders traditional manual security gates obsolete. To stay secure from ideation to release, we must build security directly into…

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