Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A practical guide for chief AI officers and technology leaders implementing federal AI governance The US Office of Management and Budget's recent memoranda — M-25-21, "Accelerating Federal Use of AI through Innovation, Governance, and Public Trust," and M-25-22, "Driving Efficient Acquisition of Artificial Intelligence in Government" — establish comprehensive frameworks for federal agencies that implement AI systems while maintaining appropriate safeguards.

Today during SASEfy 2025, Cato Networks announced its latest AI innovation. Cato CASB (Cloud Access Security Broker), a native feature in the Cato SASE Cloud Platform, is now enhanced with new capabilities for generative (GenAI) applications including a shadow AI dashboard and policy engine. With the shadow AI dashboard, enterprises can detect, analyze, and gain insights into the use of GenAI. With the policy engine, enterprises can take control of user activities in GenAI applications.

Artificial intelligence isn’t just a buzzword in cybersecurity—it’s rapidly becoming the backbone of both offense and defense in the digital battlefield. From hyper-realistic deepfakes to machine learning-powered threat detection, AI is fundamentally changing how we manage cyber exposure.

The web has evolved—and so have its risks. Today’s web pages are built with dozens of party scripts for ads, analytics, and dynamic features. While these improve user experience, they also open the door to cyber threats, especially when handling credit card data. As attackers increasingly target browsers rather than servers, the challenge of client-side security has grown into a critical concern for security and compliance teams.

Wallarm Research has just released a powerful new Nuclei template targeting a new kind of exposure: the Model Context Protocol (MCP). This isn’t about legacy devtools or generic JSON-RPC pinging. It’s about the protocol fueling next-gen LLM applications — and it’s already showing up exposed in the wild.

On March 25, OpenAI introduced image generation for ChatGPT-4o and ChatGPT-4o mini. On March 31, it was announced that the tool was available for free to all users. Since then, users have quickly discovered that ChatGPT’s image generator can be manipulated to create fake receipts and forge other documents.

Generative AI (GenAI) is poised to revolutionize the cloud security posture management (CSPM) space, bringing intelligence, automation, and context to increase the effectiveness of managing cloud risk. Maintaining a robust security posture in the cloud can be challenging as the number of deployed cloud services increases across diverse clouds. Soon, AI-driven CSPM will play a critical role in helping security and cloud teams to keep pace with misconfigurations and compliance gaps.

Applying robust security measures to automated software development is no longer a luxury but a necessity. CrowdStrike data scientists have developed an AI-driven, multi-agent proof of concept that leverages Red Teaming capabilities to identify vulnerabilities in code developed by AI agents. While it is still in the research stage, our work shows this advanced AI technology has the potential to revolutionize software security.

John Quinsey (also known as “JQ”) is a regional director at Torq with 25 years in software and SaaS sales, solving business problems with disruptive technologies. He firmly believes AI has the power to revolutionize modern security operations. Just five years ago, the average dwell time for a ransomware attack was seven months. Today, it’s five days and shrinking.