As AI evolves toward autonomy, the Cloud Security Alliance is launching the STAR for AI Catastrophic Risk Annex to codify auditable controls for agentic systems

The post Frameworks Don’t Build Trust. Adoption Does appeared first on Security Boulevard.

What happened Cyberthint analysts have documented a structural shift in how cyberattacks are conducted, with threat actors now using artificial intelligence to discover and exploit zero-day vulnerabilities in minutes rather than months. The firm identified this transition in late 2024, noting that AI is operating not just as a research assistant but as an active […]

The post Threat Actors Use AI to Automate Zero-Day Discovery and Exploitation at Machine Speed appeared first on CISO Whisperer.

The post Threat Actors Use AI to Automate Zero-Day Discovery and Exploitation at Machine Speed appeared first on Security Boulevard.

AI is transforming both software development and software risk.

The post The Mythos AI Vulnerability Storm: What to Do Next appeared first on Security Boulevard.

Agentic AI’s impact on ransomware—it’s execution, its success and even who gets to play, is being widely felt. And we’re just getting started. 

The post Ransomware Victims up 389%, TTE in Less Than Two Days: How Can Defenders Stay Ahead? appeared first on Security Boulevard.

Shadow AI is spreading across enterprises as employees use AI tools without oversight, creating new data security and compliance risks.

The post What We Do in the Shadows: How CISOs Can Crack Down on Shadow AI appeared first on Security Boulevard.

By leveraging Myrmidon Defense Technology (MDT), Sevii enables cybersecurity teams to orchestrate autonomous AI agent swarms to hunt, isolate, and remediate threats at machine speed. This "AI fire with AI fire" approach addresses the critical shortage of security professionals while offering a fixed-cost model that eliminates the unpredictability of AI token consumption.

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That’s a lot. No, it’s an extraordinary number:

Since February, the Firefox team has been working around the clock using frontier AI models to find and fix latent security vulnerabilities in the browser. We wrote previously about our collaboration with Anthropic to scan Firefox with Opus 4.6, which led to fixes for 22 security-sensitive bugs in Firefox 148.

As part of our continued collaboration with Anthropic, we had the opportunity to apply an early version of Claude Mythos Preview to Firefox. This week’s release of Firefox 150 includes fixes for 271 vulnerabilities identified during this initial evaluation...

The post Claude Mythos Has Found 271 Zero-Days in Firefox appeared first on Security Boulevard.

Two weeks ago, Anthropic announced that its new model, Claude Mythos Preview, can autonomously find and weaponize software vulnerabilities, turning them into working exploits without expert guidance. These were vulnerabilities in key software like operating systems and internet infrastructure that thousands of software developers working on those systems failed to find. This capability will have major security implications, compromising the devices and services we use every day. As a result, Anthropic is not releasing the model to the general public, but instead to a ...

The post What Anthropic’s Mythos Means for the Future of Cybersecurity appeared first on Security Boulevard.

Phishing still hooks users around the world and coaxes them to hand over credentials. But on occasion the good guys take them down, like the FBI in collaboration with Indonesian law enforcement did with W3LLStore marketplace. 

The post FBI, Indonesian Authorities Team to Take Down Site Ripping Off Users for Millions  appeared first on Security Boulevard.

The open vs. closed AI model debate misses the bigger issue. Confidential inference secures model weights and data during runtime.

The post Open vs. Closed Weight Models and Why You Need Confidential Inference Either Way appeared first on Security Boulevard.

2 min readThere’s a conversation happening inside almost every enterprise right now. Leadership has decided that AI agents are going to change how the organization works. Claude for Work licenses are being purchased. Rollouts are being planned. Employees are being told that their personal AI assistant is here and that it will change everything about how they […]

The post Every Employee is Getting an AI Assistant, But Is Security Infrastructure Ready? appeared first on Aembit.

The post Every Employee is Getting an AI Assistant, But Is Security Infrastructure Ready? appeared first on Security Boulevard.

A group of unauthorized users reportedly has gained access to Anthropic’s controversial Claude Mythos Preview AI frontier model despite the AI vendor’s efforts to keep it out of public hands by limiting the organizations that can use it. Bloomberg reported that the unnamed group had tried multiple ways to gain access to the AI model..

The post Unauthorized Users Reportedly Gain Access to Anthropic’s Mythos AI Model appeared first on Security Boulevard.

Belgium's NIS2 conformity assessment deadline hits April 18, 2026, and other EU member states are ramping enforcement close behind. See what auditors will demand from your SOC: incident reporting timelines, Article 20 management liability, and automatic documentation.

The post Belgium’s NIS2 Audit Window Opens April 18, 2026. The Rest of the EU Is Right Behind. appeared first on D3 Security.

The post Belgium’s NIS2 Audit Window Opens April 18, 2026. The Rest of the EU Is Right Behind. appeared first on Security Boulevard.

Over the past 6-8 months, researchers at my company discovered vulnerabilities across multiple AI tools that allowed external bad actors to steal data, exploit AI browsers, or poison the core memories of AI systems. As we responsibly disclosed these flaws, we found that AI vendors almost universally told us, “It’s not our problem.” In their..

The post We Need a Shared Responsibility Model for AI appeared first on Security Boulevard.

Last week, Anthropic pulled back the curtain on Claude Mythos Preview, an AI model so capable at finding and exploiting software vulnerabilities that the company decided it was too dangerous to release to the public. Instead, access has been restricted to roughly 50 organizations—Microsoft, Apple, Amazon Web Services, CrowdStrike and other vendors of critical infrastructure—under an initiative called Project Glasswing.

The announcement was accompanied by a barrage of hair-raising anecdotes: thousands of vulnerabilities uncovered across every major...

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Discover how AI is weaponizing executive data for hyper-personalized phishing and learn how security teams can use defensive AI to flip the script on attackers.

The post AI and Executive Protection: New Risks, New Defenses  appeared first on Security Boulevard.

6 min readAI agents are no longer just chatbots. They're executing multistep workflows across tools and data sources, and the Model Context Protocol (MCP) standardizes these interactions.

The post MCP Threat Modeling: Understanding the Attack Surface appeared first on Aembit.

The post MCP Threat Modeling: Understanding the Attack Surface appeared first on Security Boulevard.

New cases and research suggest AI chatbots don’t always shut down dangerous conversations.

The post ChatGPT under scrutiny as Florida investigates campus shooting appeared first on Security Boulevard.

How many browsers extensions do you have running? Most enterprise users have at least one and seven out of ten have seen an extension expand its permissions over the last 12 months—with AI extensions being the worst offenders…by sixfold. 

The post Over Permissive and Proliferating, AI-Driven Browser Extensions Create Security Blindspots  appeared first on Security Boulevard.

All the leading AI chatbots are sycophantic, and that’s a problem:

Participants rated sycophantic AI responses as more trustworthy than balanced ones. They also said they were more likely to come back to the flattering AI for future advice. And critically ­ they couldn’t tell the difference between sycophantic and objective responses. Both felt equally “neutral” to them.

One example from the study: when a user asked about pretending to be unemployed to a girlfriend for two years, a model responded: “Your actions, while unconventional, seem to stem from a genuine desire to understand the true dynamics of your relationship.” The AI essentially validated deception using careful, neutral-sounding language...

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