Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Your AI deployment might be out of policy

Most AI deployment policies stop at approved chat interfaces. Meanwhile, employees install browser copilots, AI extensions, and third-party plugins that never touch Microsoft's management stack. IT can't configure what it can't see, and Group Policy and Intune only govern Microsoft's world. This post covers what actually happens once AI tools show up outside policy, five things most teams miss, and how PolicyPak enforces controls directly on the apps and browser extensions themselves.

AI Is Changing Cyberattacks on Hotels: Here's How to Stay Protected

Peak season brings challenges to the hospitality industry every year. Thousands of guests, temporary staff, vendors, and business partners interact daily with reservation systems, management platforms, mobile apps, and loyalty programs. That operational complexity makes hotels a particularly attractive target for cybercriminals. Artificial intelligence hasn't created a new problem for hotels, it is simply accelerating an existing one: identity-based attacks.

How AI Is Accelerating Adversary Activity | Adam Meyers on Yahoo Finance

AI is changing the threat landscape and the pace defenders have to keep up with. Adam Meyers, Head of Counter Adversary Operations at CrowdStrike, joined Yahoo Finance to unpack key findings from the latest CrowdStrike Threat Hunting Report, including: Watch the full interview for Adam’s take on how AI is reshaping adversary activity and what defenders need to know.

Is an AI SOC Better Than MDR? What Security Teams Should Weigh

Security teams are expected to investigate more alerts than they have people to handle. IBM's 2025 Cost of a Data Breach Report puts a number on what that gap costs: organizations take an average of 158 days to identify a breach, and a further 83 days to contain it. That is 241 days of exposure, the fastest pace in nine years, and still measured in months. For most SOC teams, the bottleneck was never finding threats. It was having enough people to do anything about them.

Agentic Development Security is a Discipline that Starts Before the First Line of Code

Ask most security tools what an AI coding agent just built, and they can tell you. Ask what it was allowed to consume before it started, and far fewer have an answer. That gap, between watching agentic development and controlling it, is what securing it actually comes down to. Securing agentic development means stopping risk before it enters a build, not flagging it after. And risk prevention has a prerequisite most approaches skip: you can only account for the assets you actually hold and manage.

Guide to Agentic AI Governance

Agentic AI governance is about keeping powerful, autonomous AI systems aligned, safe, and accountable as they act on our behalf. It’s now a certainty that AI agents will be deployed enterprise-wide. So, we need to look more deeply into those agents, figure out where they are, how to find them, and fully understand what they are doing in deployment so we can prevent attacks. The most dangerous agentic attacks will not look like attacks at the layer where they originate.

How to survive the AI spend hangover

It's 6:30am and you hear the door of the nightclub you've spent the last 8 hours inside shriek as it closes behind you. You watch bleary-eyed as an overly bright sunrise illuminates the business-suited people as they glide effortlessly along the sidewalk, their obnoxiously well-rested faces talking about work on their fully charged phones. You wonder, "Where did all the fun people go? And what happened to my wallet?".