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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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Researchers Say AI Bots Blur Lines Between Identity, Consent and Cyber DefenseAs generative AI programs continue to evolve, they are introducing new threats to the modern workplace. Digital twins, once confined to industrial systems, now enable hyper-realistic copies of actual employees to mimic vocal patterns, behaviors and even pick up on decision-making trends.

Schellman CEO Avani Desai on Balancing Innovation and Compliance in Uncertain MarketThe Trump administration’s AI action plan signals a major deregulatory shift, setting up a patchwork of state regulations on AI deployments. Company policies must be “flexible enough to meet the strictest state without rewriting them every few months," said Avani Desai, CEO, Schellman.

We used to think of privacy as a perimeter problem: about walls and locks, permissions, and policies. But in a world where artificial agents are becoming autonomous actors — interacting with data, systems, and humans without constant oversight — privacy is no longer about control. It’s about trust. And trust, by definition, is about what happens when you’re not looking

System prompt engineering turns benign AI assistants into 'investigator' and 'detective' roles that bypass privacy guardrails A team of boffins is warning that AI chatbots built on large language models (LLM) can be tuned into malicious agents to autonomously harvest users’ personal data, even by attackers with "minimal technical expertise”, thanks to "system prompt" customization tools from OpenAI and others.…

Honeywell's DeLuccia Offers Practical Steps to Address Barriers to AI AdoptionOrganizations struggle to implement AI at enterprise scale because of basic fears that extend beyond technical issues. It often comes down to fundamental questions about the nature of AI and organizational accountability. "If I turn it on, am I liable for it?" asks Honeywell's James DeLuccia.

Security operations have never been a 9-to-5 job. For SOC analysts, the day often starts and ends deep in a queue of alerts, chasing down what turns out to be false positives, or switching between half a dozen tools to piece together context. The work is repetitive, time-consuming, and high-stakes, leaving SOCs under constant pressure to keep up, yet often struggling to stay ahead of emerging

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