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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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The Ninth Circuit has paused a lower-court order as the companies dispute whether user-approved automation can access password-protected accounts without the platform’s permission. The post Appeals court temporarily pauses order blocking Perplexity’s AI shopping agent on Amazon appeared first on CyberScoop.

Cybersecurity is entering “a new phase” as artificial intelligence tools have matured and given IT defenders significantly less time to respond to cyberattacks and other threats, according to a new report released Monday. The report, authored by federal contractor Booz Allen Hamilton, concludes that threat actors have adopted AI more quickly than governments and private […] The post Attackers are exploiting AI faster than defenders can keep up, new report warns appeared first on CyberScoop.