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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.

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A flaw in Anthropic's Claude for Chrome browser extension could allow a malicious extension to trigger predefined AI actions by simulating user clicks, potentially allowing it to abuse Claude's access to connected services such as Gmail, Google Docs, Google Calendar, and Salesforce. [...]

Intruder built an AI-powered "vulnerability vending machine" that combines code slicing with LLMs to automatically discover complex software vulnerabilities. The company explains how the system found and exploited a previously unknown WordPress plugin zero-day, with additional discoveries already under responsible disclosure. [...]

A PNG hiding a prompt injection could steal your repo's secrets, researchers demonstrate. The technique, dubbed 'Ghostcommit,' slipped past AI code reviewers CodeRabbit and Bugbot, which never open image files at all, then convinced a coding agent to read a repo's .env and write every secret into the code as a list of numbers. [...]

AI agents are accelerating the growth of non-human identities, making it harder for organizations to understand what exists, who owns it, and what it can access. Netwrix explains why stronger visibility and identity governance are essential as AI expands the enterprise attack surface. [...]

Tomorrow's webinar explores how behavioral AI can help organizations detect sophisticated phishing, business email compromise, and account takeover attacks while reducing alert fatigue through automated investigation and response workflows. [...]

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