Practical guidance on AI compliance, risk management, and governance for B2B SaaS founders and security leaders.
20 articles
We open-sourced the scanner behind our Trust Pack. 470K combined GitHub stars, 389 AI detections, 3 critical findings, and not a single governance framework fully mapped. Here's what we found.
Mike Carroll
SBOMs became mandatory after Log4J proved you can't secure what you haven't inventoried. The same reckoning is coming for AI. Here's why every SaaS vendor needs an AI Bill of Materials — and what happens when you don't have one.
SafeBase has standardized 11 core AI security questions that appear in enterprise vendor reviews. Here's what they are, what strong answers look like, and where most teams fall short.
Enterprise buyers are auditing AI Data Processing Agreements with increasing rigor. Here's the checklist they use, the gaps they find, and how to get your DPA house in order before the questionnaire arrives.
Enterprise buyers are shifting from 'show me your certification' to 'answer these specific questions with evidence.' Here's why questionnaires are winning, and what it means for SaaS vendors.
The Cloud Security Alliance added 47 AI-specific questions to CAIQ 4.0. Here's what they cover, which ones matter most, and how to prepare without drowning in compliance paperwork.
Singapore just published the first government framework specifically for agentic AI governance. Here's what it means for SaaS vendors selling into enterprise — and why you should care even if you're not in APAC.
NIST AI RMF has four functions — Govern, Map, Measure, Manage. Here's what each one means for a SaaS startup, what artifacts answer each section, and how to stop treating it like a theoretical exercise.
Most startups treat AI governance as a compliance burden. The ones winning enterprise deals treat it as a sales weapon. Here's how to flip the script.
Enterprise buyers now ask tough ai governance and ethics questions. Here's what they want to see and how to answer without scrambling.
SaaSVista scans your GitHub repos with read-only access, detects AI usage across every major provider, and maps risks to compliance frameworks. Here's exactly how.
SOC 2 wasn't built for AI. Here's what it covers, what it misses, and how GDPR compliance software and AI frameworks fill the gaps.
SOC 2 tools like Vanta and Drata are great at what they do. But AI governance is a different problem — and it needs a different solution.
The EU AI Act isn't just a European regulation. It's reshaping enterprise procurement worldwide. Here's what B2B SaaS founders need to know about responsible AI governance.
A hands-on AI compliance checklist for startups — score yourself, find gaps, and use compliance automation software to fix what matters first.
AI governance means knowing what AI you use, what risks it creates, and what controls you have. Here's what startups need to know now.
Shadow SaaS hides in expense reports, corporate cards and team budgets. Why it happens, what it costs beyond money, and a 30-day plan to find it.
A practitioner's view of shadow IT at mid-market companies: why it grows, why the usual discovery methods miss it, and a 30-day plan to get it under control.
A vendor-neutral way to find shadow SaaS with the admin consoles you already own, starting with a fifteen-minute first pass in your identity provider.
Employees adopt AI tools faster than IT can approve them. Here's how shadow AI differs from shadow IT, plus a 30-day plan to find it and govern it.
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