Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

On this episode of Masters of Data, Adam White and David Girvin dig into Sumo Logic's freshly launched compliance apps for Claude, ChatGPT, and LiteLLM, and why your IT team will want to pay attention before the token bill arrives. We unpack how enterprises can move beyond the "AI black hole" era of shadow IT and actually get eyes on who is using what, how much it is costing, and whether any of it is moving the needle.

On this episode of Masters of Data, Adam White and David Girvin dig into Sumo Logic's freshly launched compliance apps for Claude, ChatGPT, and LiteLLM, and why your IT team will want to pay attention before the token bill arrives. We unpack how enterprises can move beyond the "AI black hole" era of shadow IT and actually get eyes on who is using what, how much it is costing, and whether any of it is moving the needle.

Anyone claiming they have fully solved AI governance is getting ahead of reality. AI is moving so fast that by the time many organisations write the rules, the technology, risks and use cases have already changed again.

We put Anthropic’s new Claude Opus 4.8 to the test using our standard benchmark: building a secure, production-ready Notes app. Anthropic claims this model is four times less likely to let security flaws slip through. Operating on "Ultra Code" mode, the AI navigates environment blocks, writes its own E2E security test suite, and runs dependency audits. We walkthrough the final app and run a security scan using the Snyk CLI to see if Claude's code is truly safe to deploy.

Read the full report here: https://www.gitguardian.com/state-of-secrets-sprawl-report-2026