Compliance
What is OpenChain ISO/IEC 5230 and does it matter in diligence?
ISO/IEC 5230 is a process standard for open source license compliance. It describes a company's program, not the license safety of a product.
Oct 18, 20263 min read
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What should an acquirer's open source policy define?
Define license tiers, the evidence a target must provide, remediation windows and who approves exceptions, so every deal starts from the same rules.
Oct 18, 20263 min read
Compliance
Open source license myths vs facts for buyers and sellers
Common myths about open source in deals: free means no strings, MIT needs nothing, no license means free to use. Here is what the license texts say.
Oct 18, 20263 min read
Compliance
What goes in an open source evidence pack for a buyer?
An open source evidence pack holds the SBOM, license policy, decision log, notices and scan dates, indexed so a reviewer can verify each claim quickly.
Oct 18, 20263 min read
Compliance
Should license and security rules live in one open source policy?
Yes, one policy with two rule sets and one decision record saves reviews. See how to structure it, who signs off, and how to enforce it on pull requests.
Oct 18, 20263 min read
Compliance
What should a one page secrets policy for developers include?
A short secrets policy people will read: scope, where secrets may live, what is banned, how to report a leak, rotation rules and how it gets checked.
Oct 18, 20263 min read
Compliance
What goes on a one-page release security sign-off?
A one page sign-off lists release ID, scan results, SBOM link, open waivers, rollback plan and named approvers so a reviewer can decide in minutes.
Oct 18, 20263 min read
Compliance
One evidence set, many frameworks: how to map controls without rework
Build one control library with evidence, then map it to CIS, CSF, Cyber Essentials, C5 or TISAX. A practical method and the traps in mapping tables.
Oct 18, 20263 min read
Compliance
Can one control set cover SOC 2, ISO 27001 and NIST AI RMF?
Yes, largely: write controls once, map them to each framework, and collect shared evidence. Know which parts of AI risk need their own controls.
Oct 18, 20263 min read
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