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Apple's macOS security has reportedly faced a major research breakthrough, this time with help from Anthropic's advanced cybersecurity-focused AI model, Claude Mythos. According to reports, security researchers used the AI system to identify vulnerabilities in macOS and assist in building what is being described as the first public macOS kernel memory corruption exploit affecting Apple's M5 silicon.
Artificial intelligence is no longer just a tool being used by businesses, developers, researchers, and security teams. According to Google's Threat Intelligence Group, it is now also becoming part of the attacker's toolkit in a much more serious way. Google has revealed what it describes as the first confirmed case of hackers using AI to help develop a zero-day exploit for a planned large-scale cyberattack. In simple terms, this means attackers allegedly used an AI model to help discover and weaponise a software vulnerability that was previously unknown to the affected organisation.
AI agents are becoming more powerful because they can choose and use external tools on their own. Instead of waiting for a human to manually select every action, an agent can look through a tool registry, read the descriptions, decide which tool is suitable, and then call that tool to complete a task. On the surface, this sounds efficient and practical, especially for enterprise environments where agents may need to interact with APIs, databases, internal systems, ticketing platforms, cloud services, and business applications.
Some weeks are dominated by one headline breach. This one wasn't. Instead, it showed something more useful (and more uncomfortable): how modern attacks are increasingly built from "small" weaknesses. An exposed key here, a misconfigured access rule there, a trusted service being used in an untrusted way. When you line the stories up, the direction is obvious. Threat actors are moving faster, blending in better, and targeting environments that matter most: networks, cloud platforms, developer pipelines, and the everyday apps people assume are harmless.
OpenClaw began the way a lot of open-source tools begin: a developer scratching a personal itch. The original idea was pretty relatable. Let an AI helper do the boring stuff like sorting email, managing schedules, and keeping notes organized, while you get on with your day.
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