Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing ChatGPT, Copilot, and Gemini: A Practical Guide for Enterprise Security Teams

ChatGPT, Copilot, and Gemini are already part of daily work in many companies. People use them to draft text, summarize notes, review code, and move faster on routine tasks. That speed is useful, but it also opens a new path for data to move in ways security teams may not see at first. This guide looks at the most common risks, the controls that matter, and the simple steps that help teams keep AI use safe without slowing work down. It is built for people who need clear answers, not a pile of jargon.

Why PDF-to-Video Conversion Is Becoming Standard Practice in Compliance and Risk Teams

Most compliance documents don't get read. Risk managers and compliance officers know this - the annual policy updates, the security awareness reminders, the regulatory change summaries that go out as PDFs and are opened by 12% of the organization. The people who most need to understand the content are exactly the ones who find dense text formats least accessible. This isn't a motivation problem. It's a format problem. And PDF to video conversion is one of the more practical solutions that's gained traction in risk and compliance teams over the past two years.

Americans Lost $900 Million to AI-Powered Scams Last Year

The US Federal Bureau of Investigation (FBI) warns that Americans lost just under $900 million to AI-powered scams in 2025, Malwarebytes reports. Total reported losses to scams last year reached nearly $21 billion, a 26% increase from 2024. The researchers note that the true losses are likely much higher, since many attacks go unreported. “The main drivers behind the rise in AI-powered scams are voice cloning, deepfake images and videos, and AI‑generated scripts,” Malwarebytes says.

Top Continuous API Discovery Tools for 2026 (Enterprise SaaS & AI-First Apps)

Not all API discovery tools solve the same problem. Some help teams discover APIs once. Others help maintain a live inventory as APIs change across cloud services, microservices, third-party integrations, and increasingly, AI-driven applications. That is where continuous API discovery stands apart. In this guide, we compare the top platforms using shared capability tags instead of forcing each tool into a single “best for” category.

How to Manage AI Agent Access Control

AI agent access control is about governing what autonomous software agents are allowed to do and access across your cloud infrastructure, data systems, and internal tools at runtime. It’s about identity ownership and action-level authorization, so your AI agents operate within tightly scoped, time-bound, and policy-enforced permissions that you can keep track of.

ChatGPhish: When AI Assistants Become the Phishing Surface

You can no longer blindly bank on the security boundary you trusted most, and no one is talking about it enough. For years, phishing took a familiar form, such as emails, URLs, and login pages. ChatGPhish breaks that stereotype, though. Permiso Security’s Andi Ahmeti disclosed this technique on 29 May 2026.

What AI Can't Hide When It Writes a Phishing Email

Phishing has always been a game of impersonation. But for decades, the tell was in the details: a misspelled word here, an awkward sentence there, a logo that was just slightly off. Security awareness training built an entire doctrine around those cues. Spot the typo, avoid the trap. That playbook is now obsolete. KnowBe4's latest Phishing Trends Report found that 86% of phishing attacks observed in the last six months involved some level of AI assistance.

Your AI Agents Are Eager to Please And Easy to Exploit

An AI-driven system at a beverage manufacturer recently churned out several hundred thousand excess cans after misreading unfamiliar packaging. The system didn’t recognize the company’s new holiday labels, flagged them as an error, and triggered additional production runs before the company caught the mistake. The system followed its instructions perfectly.

The Enterprise Just Got Its First Population of Autonomous Actors

For the past two decades, enterprise security has evolved around a relatively stable assumption: software executes instructions, people take actions, and security teams are responsible for understanding and governing the interaction between the two. The technologies have changed. Infrastructure moved to the cloud. Applications became distributed. Identities expanded beyond employees to include partners, contractors, and machines. Yet the underlying model remained remarkably consistent.