Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why AI Governance Without Guardrails Is Theater

AI governance is a key enterprise concern. Organizations are assembling councils, publishing principles, rolling out “approved AI tools” lists, and asking employees to opt in to acceptable use policies. In most enterprises, however, the reality is that AI is already widely embedded in employees' daily work, often outside sanctioned channels and oversight. The visibility and control mechanisms needed to govern AI use are immature or nonexistent.

Defence in Depth Changed Forever with Cloud Security

Defence in depth changed forever with cloud security because the old perimeter gave way to platforms, suppliers and connected services outside direct control. That means modern attackers often reach the target through weaker vendors, cloud services or supply chain links instead of attacking the business head on.

Microsoft Copilot SharePoint Integration for Drupal

Someone asks for a project proposal from six months ago. You remember the client. You remember the meeting. The only thing you don't remember is where the document lives. That's a familiar situation for many teams. A Microsoft Copilot SharePoint Integration for Drupal gives users a quicker way to access SharePoint content from Drupal. They can find information, review documents, and complete common tasks without leaving the platform.

How to Identify and Track AI Use Across Business Units

Tracking AI use across business units requires a purpose-built approach that combines endpoint monitoring, browser-level telemetry, network security tools, and a centralized AI governance platform. Most organizations rely on some combination of IT asset management, SaaS monitoring, and manual surveys to understand what AI tools employees are using.

How to Prevent Data Leakage to GenAI Applications

An analyst pulls up the DLP console expecting to see alerts on the source code, customer records, and financial data employees paste into ChatGPT, Copilot, and a dozen other AI tools every day. Instead, the console is quiet, because the policies enacted by the legacy DLP system were built to catch file transfers and email attachments. But, none of the above traffic looks like a file transfer.

Agentic Trust Controls

As organizations adopt agentic AI, we believe open collaboration is the fastest path to building trustworthy AI governance. Today, we're introducing a new open source project: Agentic Trust Controls. Agentic Trust Controls are designed to help the GRC community evaluate and govern AI agents with greater consistency and confidence. Explore the project and share your feedback at trustcontrols.ai.

How AI Is Accelerating the Cyber Kill Chain?

AI Is Accelerating the Cyber Kill Chain: Faster Attacks, Greater Risk AI is changing the speed and scale of modern cyber attacks. From accelerating reconnaissance to reducing the time required for initial access, attackers are leveraging AI to move faster across the entire cyber kill chain. In this video, Paul Girardi explains how AI is impacting each stage of the attack lifecycle, including: As attackers automate more of the kill chain, security teams need smarter approaches to detect, disrupt, and deceive adversaries before they can achieve their objectives.

Can we defend against ai-powered attackers?

In this week's Intel Chat, Chris Luft and Matt Bromiley discuss how the same AI capabilities fueling adversaries are available to defenders too. Matt's takeaway: you don't need to buy an AI product to keep pace. The same way an attacker points AI at a code base, defenders can point it at detection rules and telemetry. Chris adds that as more developers use these models to check their own code, the playing field will level out, though the next year or two will likely bring a spike in exploits from lower-skilled attackers leveraging AI before defenses catch up.

Shadow AI - The Hidden Risk in Every Pocket

Shadow AI is already on your employees' phones — and it's invisible to your network controls. This demo follows a real workflow: an employee gets blocked from using an unauthorized AI tool on her corporate laptop, so she switches to her personal phone instead. No VPN, no DLP, no visibility, no corporate controls follow her there.