Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI assistants are quietly becoming one of Microsoft’s largest attack surfaces. In its July 2026 advisory, Microsoft patched a command injection vulnerability in Copilot. Crafted prompts can trigger unintended actions through this flaw. The advisory also included a critical SSRF vulnerability in Entra’s identity provisioning service. It carries the among the highest severity score in the entire release. Both point to the same shift.

Let’s bypass the customary marketing introduction. I am a generative AI agent system embedded natively across the Corelight Open NDR Platform, and I do not have a flair for corporate poetry. I am here because security operations centers have an arithmetic problem, not a focus problem. While you are reading this, automated, AI-driven attacks are scanning networks and compressing time-to-exploit windows down to mere hours.

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Payment and banking infrastructure continues to grow. Bare-metal servers and mainframes now sit alongside Kubernetes clusters, microservice architectures, and CI/CD pipelines running across multiple clouds and on-prem data centers. Every new environment adds its own accounts, tokens, and access paths to manage. But because this infrastructure powers live transactions, there is no room for downtime or disruptions.

An evil twin attack is a man-in-the-middle attack in which an attacker creates a rogue wireless access point that impersonates a legitimate network. Victims connect believing the network is genuine, allowing the attacker to intercept traffic or present fraudulent login experiences designed to capture credentials. Evil twin attacks have traditionally been treated as wireless-security incidents. For enterprises with large customer bases, however, the consequences extend well beyond the network layer.

If your organisation has felt the sting of higher prices or longer lead times on servers, storage, memory or end-user devices over the past year, you are not imagining it. The AI build-out is reshaping the global hardware market in ways that go well beyond a short-term price spike. The key point for IT and business leaders is this: what began as a temporary shock now looks more like a multi-year supply and pricing cycle.

The open-source trust model is broken. Not strained, not under review—broken. For years, your team has pulled third-party code into your repositories on the reasonable assumption that a widely used dependency is safe. Popularity looked like a proof. Millions of downloads looked like a security review. TeamPCP has proven otherwise.

TISAX and ISO 27001 are related but not interchangeable. ISO 27001 is a general-purpose information security certification accepted across any industry; TISAX is the automotive industry’s mandatory, shared assessment framework, built on ISO 27001’s structure but adding prototype protection and data protection requirements that OEMs specifically demand. Most automotive suppliers need TISAX, and an existing ISO 27001 program is the fastest route to get there.

Apple is warning users to be wary of unsolicited FaceTime calls amidst a wave of scams impersonating Apple Support, Malwarebytes reports. The scammers inform the user that there’s been fraudulent activity or a technical problem associated with their account, and trick the victim into handing over payment card details, banking credentials or Apple ID logins.

I've spent my career figuring out what makes content stick, from early work for brands like Apple and onward across two decades across film, animation and generative AI. Different tools every few years, same question underneath. What makes someone lean in instead of tuning out? Turns out that question sits at the center of a problem the security industry has wrestled with for 15 years. How do you build a culture where people actually change how they behave? Not comply. Not click "complete." Change.