Latest coverage for Artificial Intelligence
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.
Modern IGA for the AI Era: What You Need to Know
Sneaky Mermaid attack in Microsoft 365 Copilot steals data
Redmond says it's fixed this particular indirect prompt injection vuln Microsoft fixed a security hole in Microsoft 365 Copilot that allowed attackers to trick the AI assistant into stealing sensitive tenant data – like emails – via indirect prompt injection attacks.…
Shield AI shows off not-at-all-terrifying autonomous VTOL combat drone
Runways? Where we're going, we don't need runways US defense technology biz Shield AI claims it can build a jet-powered vertical take-off and landing (VTOL) autonomous fighter drone that doesn't need a runway to operate.…
Dataminr to Buy ThreatConnect for $290M in Intelligence Push
Proposed Acquisition Aims to Merge Internal Risk Data With External Threat SignalsDataminr will acquire ThreatConnect, combining public data detection with internal intelligence to give CISOs an AI-powered, context-aware response platform. The deal is producing results for shared customers and is central to Dataminr's push toward predictive, client-specific cybersecurity tools.
HP pulls update that broke Microsoft Entra ID auth on some AI PCs
HP has pulled an HP OneAgent software update for Windows 11 that mistakenly deleted Microsoft certificates required for some organizations to log in to Microsoft Entra ID, effectively disconnecting them from their company's cloud environments. [...]
Meet the new Clippy: Microsoft unveils Copilot's "Mico" avatar
Today, Microsoft introduced Mico, a new and more personal avatar for the AI-powered Copilot digital assistant, which the company describes as human-centered. [...]
Agentic AI: A Force Multiplier CISOs Can’t Afford to Ignore
AI-Powered Threats Demand AI-Driven DefenseAs AI reshapes the cyber battlefield, CISOs face unprecedented pressure to defend at machine speed. Discover how agentic AI and deep observability are transforming defense from detection to foresight.
Zero Trust Has a Blind Spot—Your AI Agents
AI agents now act, decide, and access systems on their own — creating new blind spots Zero Trust can't see. Token Security helps organizations govern AI identities so every agent's access, intent, and action are verified and accountable. [...]
Spoofed AI sidebars can trick Atlas, Comet users into dangerous actions
OpenAI's Atlas and Perplexity's Comet browsers are vulnerable to AI sidebar spoofing attacks that mislead users into following fake AI-generated instructions. [...]
Secure AI at Scale and Speed — Learn the Framework in this Free Webinar
AI is everywhere—and your company wants in. Faster products, smarter systems, fewer bottlenecks. But if you're in security, that excitement often comes with a sinking feeling
ThreatsDay Bulletin: $176M Crypto Fine, Hacking Formula 1, Chromium Vulns, AI Hijack & More
Criminals don’t need to be clever all the time; they just follow the easiest path in: trick users, exploit stale components, or abuse trusted systems like OAuth and package registries. If your stack or habits make any of those easy, you’re already a target
Why Organizations Are Abandoning Static Secrets for Managed Identities
As machine identities explode across cloud environments, enterprises report dramatic productivity gains from eliminating static credentials. And only legacy systems remain the weak link
The Rise of Agentic Commerce: Building Secure, Trusted Payments for the AI-Driven Economy
AI agents are reshaping how we buy and pay online. Discover how agentic commerce is redefining trust, transparency, and control in the next era of digital payments.
Human Risk in 2025: Preventing AI-Powered Insider Threats
It Takes Only 250 Documents to Poison Any AI Model
Researchers find it takes far less to manipulate a large language model's (LLM) behavior than anyone previously assumed.
Island Hopping on AI Tools: The New Cyberthreat Reality
HITRUST's Tom Kellermann on Third-Party Risk, Defending Against Persistent AccessIsland hopping, AI poisoning and access mining are reshaping cyber risk. Tom Kellermann of HITRUST says organizations must modernize third-party risk management practices and assess AI environments to stop attackers from using trusted infrastructure as a launch pad for broader campaigns.
Too Many Secrets: Attackers Pounce on Sensitive Data Sprawl
Hardcoded credentials, access tokens, and API keys are ending up in the darnedest places, prompting a call for organizations to stop over-privileging secrets.
Human Risk in 2025: Preventing AI-Powered Insider Threats
Veeam to Buy Securiti AI for $1.7B to Unify Data Protection
Proposed Acquisition Would Create Unified View of AI-Ready Data EnvironmentsVeeam's proposed acquisition of Securiti AI for $1.725 billion addresses a long-standing disconnect between where data runs and where it's protected. The move enhances AI governance and posture management while supporting Veeam's vision for end-to-end data control.