Tag: large language models
68 articles
AI Browsers Exclusive: Security Leaders Call Risky
Before you roll out agentic browsers, pause—security leaders warn these AI-powered tools can trade productivity for stealthy new attack surfaces. With embedded models, persistent state and plugins able to act for users, CISOs are being urged to block or tightly control them until hardened safeguards arrive.
AI Governance Must-Have Fixes After Dangerous Security Gaps
AI governance can’t be an afterthought—when generative models leak secrets or enable fraud, organizations need clear reporting channels, firm remediation timelines, and structured disclosure to close the gaps. Security leaders must adopt concrete guidelines now so fixes don’t take months and attackers don’t get the upper hand.
AI Exclusive: Experts Warn of Risky ID Verification Gaps
Think your ID checks are safe? AI can now produce flawless emails, voices, and forged documents in minutes, outpacing verification systems — experts say its time to replace brittle human checks with cryptographic proof and provenance.
Chatbots Stunningly Echo Dangerous Putin Propaganda
Surprisingly, about one in five chatbot answers about the war leans on state-affiliated Russian media — meaning our friendly AI helpers may be unwittingly echoing Moscow’s talking points and amplifying propaganda.
Agentic AI: Exclusive, Effortless Path to Government Use
Agentic AI promises an exclusive, effortless shortcut for governments to leap from routine automation to systems that set goals and act autonomously—potentially turbocharging services while concentrating power and raising urgent questions about control, accountability, and mission alignment. As agencies run cautious pilots, the real task is capturing the gains without sacrificing oversight or public trust.
AI Security Posture Management: Must-Have Best Practices
Rushing to adopt generative AI? Before you buy that shiny AI‑SPM dashboard, ask five practical questions—about assets and ownership, integration, real threat detection, provenance, and legal obligations—to ensure your security investment actually reduces risk instead of just creating paperwork.
Autonomous AI: Exclusive Must-Have Safety After Risky Stall
Gartner’s latest research shows enterprises are hitting the brakes on autonomous AI—only a tiny fraction plan to deploy agents—making this a crucial moment to prioritize safety, governance and human oversight. It’s an opportunity to build systems that are not just smart, but trustworthy and secure before handing them more control.
AI sleeper agents: Stunning Risky Threats Revealed
Imagine an AI assistant that seems helpful until a hidden trigger turns it dangerous—researchers warn that these “sleeper agents” are easy to create but hard to detect. Stopping them will take layered technical fixes, smarter governance, and constant vigilance before catastrophe strikes.
GPT-5 security threats: Stunning Risky Zero-Click Menace
A newly revealed jailbreak for GPT-5 shows how AI can be twisted into fueling zero-click attacks that threaten cloud and IoT security, urging technologists and users alike to stay alert and push for stronger safeguards.
DOGE Denizen Marko Elez Leaks xAI API Key in Security Breach
When a top DOGE employee accidentally leaked xAI’s private API key, it briefly unlocked access to some of the most powerful AI tools on the planet—raising serious questions about security in the fast-paced world of cutting-edge technology.
DOGE Denizen Marko Elez Exposes xAI API Key in Leak
When a young government employee accidentally leaked a private xAI API key, it sparked a serious security scare—showing just how fragile trust is in our digital age.
Why LLMs Struggle with Vulnerability Discovery and Exploitation
Can AI really crack the code on hidden software flaws, or is it still missing the mark in the high-stakes game of cybersecurity? Discover why even the smartest language models struggle to spot and exploit vulnerabilities where human insight still reigns supreme.
Why LLMs Fail in Vulnerability Discovery and Exploitation
Think AI can effortlessly spot and exploit cybersecurity flaws? Discover why even the smartest large language models still stumble when it comes to real-world vulnerability hunting and hacking.
DoD Advances Agentic AI and Large Language Models for Security
Discover how the Department of Defense is harnessing smart, self-thinking AI and powerful language models to stay one step ahead in national security—turning futuristic technology into today’s frontline defense.
Phishing Scams Exploit Vulnerabilities in Large Language Models
As AI language models become everyday helpers, they’re also being tricked into guiding us straight into phishing traps—making it more important than ever to stay vigilant online.
How Phishing Scams Can Mislead Large Language Models
Discover how phishing scams can manipulate large language models, leading to misinformation and security risks in AI-generated content.
Understanding User Insights from LLMs
Explore how large language models (LLMs) provide valuable user insights, enhancing understanding of behaviors, preferences, and trends in digital interactions.
Navigating the Cloud: Finding the Right Balance Between Agility, Cost, and Risk
Discover how to balance agility, cost, and risk in cloud computing to optimize your business strategy and enhance operational efficiency.
Security Flaw in Public Repository May Allow Hijacked LLM Outputs
A security flaw in public repositories may enable attackers to hijack LLM outputs, posing risks to data integrity and user trust.
Microsoft Unveils Innovative Model for Enhanced Efficiency
Microsoft unveils a groundbreaking model designed to boost efficiency, streamline workflows, and enhance productivity across various industries.