Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.
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Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.
AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.
The Commerce Department’s expert control decree led to the company shutting off access to Fable 5 and Mythos 5 worldwide, drawing sharp criticism from researchers and industry analysts. The post Anthropic disables new models after government calls them a national security concern appeared first on CyberScoop.
Anthropic disputes restrictions on Mythos 5 and Fable 5, arguing the decision lacks transparency and isn’t based on clear technical evidence. On Friday June 12 at 5:21pm ET, Anthropic received a letter from the US Commerce Department, signed by Commerce Secretary Howard Lutnick and drafted with officials from the Bureau of Industry and Security. The […]
The US government has ordered Anthropic to block all foreign nationals from accessing Fable 5 and Mythos 5, forcing the company to suspend both models worldwide. Anthropic is complying but disputes the basis, calling the cited jailbreak narrow and the capability widely available elsewhere. [...]
Export-Control Order Forces Shutdown of Fable 5, Mythos 5Days after launch, Anthropic pulled Fable 5 and Mythos 5 worldwide after a U.S. export-control order barred access by foreign nationals. The company says officials provided no written evidence of the alleged security risk and said the precedent could disrupt frontier AI deployments.
Anthropic said on Friday it will "abruptly disable" its most advanced artificial intelligence (AI) models, Claude Fable 5 and Mythos 5, for all users after the U.S. government ordered it to suspend access to the models for foreign nationals, whether inside or outside the U.S., citing national security concerns
AI agents can't be trusted, so don't give them dangerous powers
Governance Professionals Struggle to Measure ROI and Control AI SystemsAI is becoming embedded across the enterprise, yet many organizations still can't quantify its value or answer key questions about oversight and control. ISACA's latest AI Pulse Poll reveals persistent uncertainty about AI ROI, governance and operational readiness, said GRCIE CEO Jenai Marinkovic.
Also: Identity as the New Control Plane, Healthcare's AI Governance ChallengeIn this week's panel, four ISMG editors discussed Anthropic's ambitious release of the Mythos and Fable 5 models, how cybersecurity teams are strengthening identity in complex cloud environments and the healthcare industry's efforts to govern artificial intelligence responsibly.
More OT Companies Ushered Into Project GlasswingAnthropic has finally lifted the velvet rope and allowed a small handful of operational technology companies to join Project Glasswing, its invitation-only club whose members get access to Mythos, the most cyber-capable of the frontier lab's large language models.
Google on Friday said it's pursuing legal action against a Chinese cybercrime network, accusing it of using its Gemini artificial intelligence (AI) agent to send phishing text messages targeting Americans
Court Says Google Is Responsible for Content Generated by Its MachinesA German court dealt a blow to Google AI-infused search by deciding that the Big Tech firm is liable for defamatory statements in the AI summaries that increasingly dominate its results. The feature purports to only summarize publicly-available content, but it often hallucinates.
Stay cool: Mythos 5 is an upgrade over Mythos Preview while Fable 5 is Mythos "made safe for general use," Anthropic explains.
Telegram-based 'Outsider Enterprise' accused of sending millions of scam texts and impersonating trusted brands
Cybersecurity researchers have described what they say is a new class of attack that can trick artificial intelligence (AI) coding agents into running arbitrary code on developer machines
CyberCorps is evolving to tackle AI threats. But budget cuts could derail it before the work even starts. The post CyberCorps is adapting to AI. The budget isn’t keeping up. appeared first on CyberScoop.
For most of the past decade, managed detection and response was the answer to a real problem. Security teams couldn't staff around the clock, couldn't hire enough analysts, and needed someone else to handle the alert queue. MDR stepped in. It worked well enough. Until now
Cybersecurity researchers have disclosed details of three now-patched security flaws impacting LangGraph, including a critical vulnerability chain that could result in remote code execution
Hackers are valuing quality over quantity, using AI to upgrade their phishing attacks rather than multiply them.
TrendAI™ integrates the Claude Compliance API into TrendAI Vision One™ through two collectors that bring AI-aware visibility and detection to Claude Enterprise usage: one keeps all data inside the environment, while the other feeds TrendAI Vision One™ for deeper correlation and compliance.
Lightspeed Funds Will Support Defenses Against Continuous, Machine-Led ExploitationA Security, founded by former Sygnia executive Yossi Torati, emerged from stealth with $37 million to build defenses against weaponized AI that can automate discovery, exploit attack paths and manipulate agentic systems faster than human security teams can respond.