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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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Frontier AI Market Gains Helped Anthropic Move From Challenger to Category LeaderAnthropic's new $965 billion Series H valuation, growing use of Claude for AI coding and an increasing share of the enterprise AI market indicate OpenAI's early lead in frontier models has disappeared as customers have shifted their spending, workloads and token usage to Anthropic.

Researchers Estimate Losses Ranging From Hundreds of Millions to BillionsA Chinese-language phishing-as-a-service platform scammed between $470 million to $1 billion from soccer fans ahead of the 2026 FIFA World Cup starting next month. Domain-by-domain takedowns will not stop this, Group-IB warned.

Bank Info Security 1 month, 2 weeks ago

NIST Rebrands AI Consortium, Ditches 'Safety' From Name

Agency Expands Research Beyond Safety Testing to Standards and EvaluationThe U.S. National Institute of Standards and Technology is expanding one of its largest artificial intelligence initiatives, rebranding the AI Safety Institute Consortium and reopening participation as the Trump administration pushes a more industry-focused approach to AI development and governance.

Bank Info Security 1 month, 2 weeks ago

AI-Driven Bug Tsunami Prompts Exploitability Questions

Severity and Reachability Metrics Also Essential for Mythos-Era Bug MitigationIf there's one thing artificial intelligence has done, it's multiply bugs, and the annual CVE Program count of new vulnerabilities is set to break records. Less apparent is how many of those AI-ferreted vulnerabilities can be turned into high-impact exploit chains - if they're exploitable at all.

Also: Why Traditional Patching Can't Keep Up, Closing the AI Visibility GapIn this week's panel, four ISMG editors discussed what Anthropic's controversial Mythos AI model signals for the future of cybersecurity, whether security operations can keep pace with AI-speed threats, and why firms are suddenly scrambling for visibility and governance related to employee AI usage.

GREYVIBE, a Russia-linked group active since 2025, targets Ukraine with AI-assisted malware and five attack chains. Researchers say it’s part spy op, part crime gang. Security firm WithSecure has been tracking a previously unknown Russian-linked APT group called GREYVIBE since at least August 2025. The group targets Ukraine and Ukrainian-related organizations across military, government, civilian, […]

Cybersecurity researchers have disclosed details of a vulnerability in OpenAI ChatGPT that leverages the artificial intelligence (AI) assistant's implicit trust in Markdown links and images to trigger prompt injections and open the door to phishing attacks

San Francisco Startup Built MCP Gateway Technology for AI Authorization WorkflowsSnowflake plans to acquire AI governance startup Natoma to help enterprises centrally manage model context protocol access, delegated permissions and AI agent connectivity as organizations confront growing risks tied to shadow AI deployments and machine identity sprawl.

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