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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Background for this topic.
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.
A Russian-speaking, financially motivated threat actor has been observed taking advantage of commercial generative artificial intelligence (AI) services to compromise over 600 FortiGate devices located in 55 countries
Artificial intelligence (AI) company Anthropic has begun to roll out a new security feature for Claude Code that can scan a user's software codebase for vulnerabilities and suggest patches
With $5.5 trillion in global AI risk exposure and 700,000 U.S. workers needing reskilling, four new AI certifications and Certified CISO v4 help close the gap between AI adoption and workforce readiness
In yet another software supply chain attack, the open-source, artificial intelligence (AI)-powered coding assistant Cline CLI was updated to stealthily install OpenClaw, a self-hosted autonomous AI agent that has become exceedingly popular in the past few months
Cybersecurity researchers have discovered what they say is the first Android malware that abuses Gemini, Google's generative artificial intelligence (AI) chatbot, as part of its execution flow and achieves persistence
The cyber threat space doesn’t pause, and this week makes that clear. New risks, new tactics, and new security gaps are showing up across platforms, tools, and industries — often all at the same time
We’ve all seen this before: a developer deploys a new cloud workload and grants overly broad permissions just to keep the sprint moving. An engineer generates a "temporary" API key for testing and forgets to revoke it. In the past, these were minor operational risks, debts you’d eventually pay down during a slower cycle
In 2025, navigating the digital seas still felt like a matter of direction. Organizations charted routes, watched the horizon, and adjusted course to reach safe harbors of resilience, trust, and compliance
Security, IT, and engineering teams today are under relentless pressure to accelerate outcomes, cut operational drag, and unlock the full potential of AI and automation. But simply investing in tools isn’t enough. 88% of AI proofs-of-concept never make it to production, even though 70% of workers cite freeing time for high-value work as the primary AI automation motivation. Real impact comes
Cybersecurity researchers have disclosed that artificial intelligence (AI) assistants that support web browsing or URL fetching capabilities can be turned into stealthy command-and-control (C2) relays, a technique that could allow attackers to blend into legitimate enterprise communications and evade detection
Cybersecurity researchers have disclosed details of a new SmartLoader campaign that involves distributing a trojanized version of a Model Context Protocol (MCP) server associated with Oura Health to deliver an information stealer known as StealC
My objectiveThe role of NDR in SOC workflowsStarting up the NDR systemHow AI complements the human responseWhat else did I try out?What could I see with NDR that I wouldn’t otherwise?Am I ready to be a network security analyst now? My objective As someone relatively inexperienced with network threat hunting, I wanted to get some hands-on experience using a network detection and response (
New research from Microsoft has revealed that legitimate businesses are gaming artificial intelligence (AI) chatbots via the "Summarize with AI" button that's being increasingly placed on websites in ways that mirror classic search engine poisoning (AI)
Cybersecurity researchers disclosed they have detected a case of an information stealer infection successfully exfiltrating a victim's OpenClaw (formerly Clawdbot and Moltbot) configuration environment
This week’s recap shows how small gaps are turning into big entry points. Not always through new exploits, often through tools, add-ons, cloud setups, or workflows that people already trust and rarely question
Presentation of the KTU Consortium Mission ‘A Safe and Inclusive Digital Society’ at the Innovation Agency event ‘Innovation Breakfast: How Mission-Oriented Science and Innovation Programmes Will Address Societal Challenges’