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.
OpenAI is not planning to ship GPT-6 this year, but that doesn't necessarily mean the company will not release new models. [...]
Among pressing issues facing healthcare providers and health IT vendors is how artificial intelligence enabled tools such as AI assistants might further facilitate patients' access to records as well as the transmission of records themselves, said attorney Alisa Chestler of law firm Baker Donelson.
Why DevOps, Infrastructure Must Evolve to Manage AI-Accelerated DevelopmentA 2025 DORA report states that AI adoption improves software delivery throughput but increases delivery instability, suggesting development teams are adapting for speed while their underlying systems lag behind.
The shared responsibility model of data security, familiar from cloud deployments, is key to agentic services, but cybersecurity teams and corporate users often struggle with awareness and managing that risk.
AI interactions are becoming one of the most revealing records of human thinking; and we're only beginning to understand what that means for law enforcement, accountability, and privacy.
The danger isn’t that AI agents have bad days — it’s that they never do. They execute faithfully, even when what they’re executing is a mistake. A single misstep in logic or access can turn flawless automation into a flawless catastrophe
AI might help some threat actors in certain respects, but one group is proving that its use for cyberattacks has its limits.
Microsoft systems analyze over 100 trillion daily signals, suggesting dramatically increasing AI-driven cyber-threats
Microsoft announced today a new Windows 11 Copilot feature called Copilot Actions that enables AI agents to perform real tasks on local files and applications. [...]
Microsoft says Windows 11 users can now start a conversation with the AI-powered Copilot digital assistant by saying the "Hey Copilot" wake word. [...]
Scaling the SOC with AI - Why now? Security Operations Centers (SOCs) are under unprecedented pressure. According to SACR’s AI-SOC Market Landscape 2025, the average organization now faces around 960 alerts per day, while large enterprises manage more than 3,000 alerts daily from an average of 28 different tools. Nearly 40% of those alerts go uninvestigated, and 61% of security teams admit
GenAI meets Gen Z – only one gets the job ai-pocalypse The UK tech sector is cutting graduate jobs dramatically – down 46 percent in the past year, with another 53 percent drop projected, according to figures from the Institute of Student Employers (ISE).…
How to avoid your business being felled by an AI-powered ransomware attack that costs less than a laptop. Passwork KNP Logistics Group, a British transport company from Northamptonshire that’s been around longer than the mass-produced lightbulb, collapsed after a devastating security breach that left more than 700 employees jobless. The 158-year-old firm fell victim to a ransomware attack.…
Study Finds Weak Authentication Practices Across AI Agent ServersTools developers use to connect artificial intelligence tools with external applications and data sources typically are secured by static credentials such as API keys and personal access tokens, exposing AI agent systems to theft or misuse, research shows.
Dark web activity can hide in plain sight within everyday network traffic. Corelight's NDR platform brings deep visibility, AI-driven detection, and behavioral analytics to uncover hidden threats across your network. [...]
The Payments Giant Is Creating Digital Rails for Secure, AI-Driven CommerceVisa is doubling down on both B2C and B2B agentic AI use cases. Early experiments focus on automating repetitive, trust-sensitive financial tasks, but the company is rapidly expanding into more sophisticated scenarios, positioning itself at the center of the next major shift in global payments.
CS4CA Summit Highlights How IT, OT Teams Can Come Together to Implement Zero TrustThe first step in securing OT networks is gaining full visibility into all assets, then segmenting them based on workflows rather than physical locations. Today, AI can reduce much of that workload. But IT and OT teams will need to meet in the middle - on the process boundary, not the network diagram.
Forrester Reports on Operational Risks Around Agentic AIA new Forrester report predicts that agentic AI will cause a public breach in 2026 that will lead to employee dismissals. The report outlines five key shifts that CISOs should prepare for as cybersecurity threats become more autonomous, geopolitical and fragmented.
Jumio's Joe Kaufmann on How CPOs Drive Value by Aligning Privacy With BusinessPrivacy leaders are taking on strategic roles as artificial intelligence and data protection laws evolve. Jumio's Global Privacy Head Joe Kaufmann said chief privacy officers now help build data trust, manage compliance and enable business growth through responsible data use.
AI assistants are no longer just helping — they're acting. Autonomous agents now open tickets, fix incidents, and make decisions faster than humans can monitor. As "Shadow AI" spreads, learn from Token Security why orgs must govern these agents like powerful new identities before oversight disappears. [...]