In this interview from theCUBE + NYSE Wired: Cyber Security Leaders, Mike Long, co-founder and chief executive officer of Kosli, joins theCUBE + NYSE Wired's Gemma Allen to discuss how enterprises can govern and trace AI-generated code without slowing software delivery. Long explains how Kosli acts as a governance platform for the agentic software development lifecycle, giving regulated banks an evidence store and policy engine to prove compliance instead of relying on manual forms and after-the-fact audits. He details how automated controls are collapsing release cycles from weeks to days, driven largely by the need to patch security vulnerabilities faster than ever before.
The conversation also explores the rising insider threat posed by AI agents making code changes with little oversight, and why accountability becomes murky when an agent, not an employee, introduces risk. Long breaks down Kosli's usage-based model and its cloud capture capability, which discovers running workloads and cryptographically fingerprints changes to trace software back to its source code. He points to real-world events, such as a recent PHP vulnerability scare, to illustrate how Kosli replaces error-prone spreadsheet tracking with real-time remediation visibility. From the debate over who bears responsibility for identifying open-source vulnerabilities to Kosli's rapid growth with tier-1 banking customers, Long offers a candid look at how financial institutions are racing to rebuild their control frameworks for the generative AI era.
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Mike Long, Kosli
In this interview from theCUBE + NYSE Wired: Cyber Security Leaders, Mike Long, co-founder and chief executive officer of Kosli, joins theCUBE + NYSE Wired's Gemma Allen to discuss how enterprises can govern and trace AI-generated code without slowing software delivery. Long explains how Kosli acts as a governance platform for the agentic software development lifecycle, giving regulated banks an evidence store and policy engine to prove compliance instead of relying on manual forms and after-the-fact audits. He details how automated controls are collapsing release cycles from weeks to days, driven largely by the need to patch security vulnerabilities faster than ever before.
The conversation also explores the rising insider threat posed by AI agents making code changes with little oversight, and why accountability becomes murky when an agent, not an employee, introduces risk. Long breaks down Kosli's usage-based model and its cloud capture capability, which discovers running workloads and cryptographically fingerprints changes to trace software back to its source code. He points to real-world events, such as a recent PHP vulnerability scare, to illustrate how Kosli replaces error-prone spreadsheet tracking with real-time remediation visibility. From the debate over who bears responsibility for identifying open-source vulnerabilities to Kosli's rapid growth with tier-1 banking customers, Long offers a candid look at how financial institutions are racing to rebuild their control frameworks for the generative AI era.
