Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A new breed of worker is quietly clocking in across the United States. They’re writing code, managing your passwords, training the next generation of AI models. They’re gaining trust and access. On paper, they’re the dream hire: skilled, low maintenance, always remote, and often affordable. By most accounts, they’re doing the work. But strange things are happening.

This video will demonstrate how Arctic Wolf's Aurora Threat Intelligence enables customers to defend to against new and emerging threats through engaging content, actionable intelligence, IoC lists and automated feeds.

Many AI companies are still running at a loss while businesses rush to build critical services on top of them. If compute costs rise and margins collapse, some of those vendors may disappear without warning, taking business critical processes down with them.

This week’s briefing covers: Dive deeper.

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

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.

In this demo, Aurora Managed Endpoint Defense shows how human expertise and EDR work together to rapidly detect, investigate, and respond to threats; giving customers stronger protection, faster results, and improved security posture.

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.

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.