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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) is the simulation of human intelligence in machines programmed to think and learn like humans. This technology encompasses a variety of practices including machine learning, natural language processing, and robotics.In the context of information security, AI plays a critical role in automating complex processes for detecting and responding to cyber threats. It can analyze vast amounts of data to identify patterns and anomalies that may indicate a security breach, enhancing the capabilities of traditional security tools. Moreover, AI systems can evolve by learning from new security incidents, thus continually improving their ability to protect against the latest threats.Nevertheless, while AI can significantly fortify cyber defenses, it also presents novel challenges. Attackers may leverage AI to develop more sophisticated hacking techniques, making it essential for security professionals to stay ahead with advanced AI-driven security solutions. AI in cybersecurity is a dynamic and evolving field, requiring constant innovation to counteract an equally adaptive landscape of cyber threats.

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Microsoft Security Research 5 hours, 48 minutes ago

Securing CI/CD in an agentic world: Claude Code Github action case

Microsoft Threat Intelligence identified a prompt injection pathway in Claude Code GitHub Action that allowed access to workflow secrets under specific conditions. This research examines the attack chain, responsible disclosure process, Anthropic's mitigation, and guidance for securing AI-powered CI/CD workflows. The post Securing CI/CD in an agentic world: Claude Code Github action case appeared first on Microsoft Security Blog.

A security researcher found a flaw in Anthropic's Claude Code GitHub Action that let an attacker take over vulnerable public repositories running it, with nothing more than a single opened GitHub issue. Because Anthropic's own action repo used the same workflow, a working attack could have pushed malicious code into the action itself and onto the projects downstream that pull it