Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

GPT-5.5 vs Claude Opus 4.7: I Made Both Build an App - Here's What Happened

GPT-5.5 vs Claude Opus 4.7 - two flagship AI models dropped one week apart, and both claim to be the best at agentic coding. We put that to the test by giving each model the exact same prompt: build a production-ready, secure note-taking application from scratch. But we didn't stop at reviewing the code. We actually tried to break it by running real security tests against each app to see whether AI-generated code can be trusted with user data. The results were not what we expected.

This Month in Datadog - April 2026

In the latest episode of This Month in Datadog, Jeremy shares how to run autonomous Cloud SIEM investigations, remediate vulnerabilities with auto-generated fixes, and use natural language to explore Datadog. Later, Sumedha Mehta spotlights the Datadog MCP Server, which gives AI agents real-time access to Datadog’s observability data. Then, Chetan Sharma walks through Datadog Experiments, which measures how product changes impact the user journey.

Lorem Ipsum Malware: Trojanized MS Teams Installers Deliver Multi-Stage Loader and Backdoor

BlueVoyant Security Operations Center (SOC) and Threat Fusion Cell (TFC) security researchers have been tracking an emerging, rapidly maturing threat group conducting a global SEO-poisoning campaign that distributes trojanized Microsoft Teams installers. These installers ultimately deploy a multi-stage shellcode loader and backdoor BlueVoyant has designated Lorem Ipsum.

The Evolution of AI in Financial Services

Opera and artificial intelligence may not seem like natural companions, but they share one important truth: The best performances are revealed over time. Early scenes set the stage, introduce the themes, and create a sense of anticipation. The audience leans in, waiting for the big moments still to come. AI in financial services has followed the same structure.

The Mythos moment: Why agentic AI changes cybersecurity, but not in the way many think

Anthropic’s announcement of Claude Mythos Preview may end up being remembered as the moment the cybersecurity industry had to stop talking about agentic AI as a future concept and start treating it as a present security variable. The reported results are serious. Anthropic says Mythos Preview identified and exploited zero-day vulnerabilities across major operating systems and browsers during testing.

What Physical AI and the digitalization of critical infrastructure mean for OT security

AI-enabled systems are becoming more common in operational technology (OT) environments. What many industry analysts call “Physical AI” refers to AI systems embedded in physical environments — such as industrial cameras, robots and edge systems — that can perceive, interpret and act on real-world conditions. In industrial settings, this includes machine vision systems, predictive maintenance models, robotics optimization and edge analytics operating close to production assets.

What NIST's mDL guidance means for the future of digital identity

The latest National Institute of Standards and Technology (NIST) draft guidance on mobile driver’s licenses(mDLs) is about more than one use case or credential type. While the draft primarily focuses on the financial sector due to its high-assurance requirements, the bigger takeaway is that government-issued identity can be cryptographically verified and shared more selectively.