Every Release Needs a Chain of Custody

JFrog

Reconstructing what shipped across GitHub, Jira, Slack, and a spreadsheet is the real compliance problem, and AI agents that commit code no human wrote make it harder.

Every Release Needs a Chain of Custody is listed on TechiSeek as Blogs from JFrog. The advertiser destination website is jfrog.com. First listed on 19 September 2026. This TechiSeek page is the indexable listing record; visiting the advertiser site uses a separate outbound link.

Visit website

Related listings

• Validating Policy-as-Code Without Breaking Builds (JFrog)
  How to Validate Policy-as-Code Without Breaking Builds (Even When AI Writes the Code) Picture two realities for the same compliance control…
• Agent Plugins Repositories: Governing Coding Agent Plugins (JFrog)
  Agent plugins are executable software that consolidate skills, commands, subagents, hooks, and MCP definitions into a single manifest. They…
• Managing AI Agent Primitives as Packages with APM and JFrog (JFrog)
  AI agents write code, review pull requests, generate tests, call tools, and interact with MCP servers. APM, the Agent Package Manager, trea…
• JFrog Introduces Agentic Software Supply Chain Security (JFrog)
  JFrog introduces Agentic Software Supply Chain Security, combining its platform with AI-driven automation to help teams curate safer packag…
• Agentic Development Security Starts Before the First Line of Code (JFrog)
  Securing agentic development means stopping risk before it enters a build, not flagging it after. The agentic software supply chain has two…
• Extending the Single Source of Truth to the Agentic Software Supply (JFrog)
  JFrog unveiled new capabilities at swampUP 2026 that extend the JFrog Platform as the Single Source of Truth for OSS and heritage software…
• Agent Guard: Control AI Assets Before They Become Shadow AI (JFrog)
  Coding agents connect to MCP servers, load skills, and install plugins without security review. JFrog Agent Guard extends governance to the…
• Ray Adds Native Sandboxing Built on gVisor (Anyscale)
  Agentic RL requires running large numbers of isolated environments that execute model-generated code.