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Reversing enterprise security costs with AI vulnerability discovery

Automated AI vulnerability discovery is reversing the enterprise security costs that traditionally favour attackers. Bringing exploits to zero was once viewed as an unrealistic goal. The prevailing operational doctrine aimed to make attacks so expensive that only adversaries with functionally unlimited budgets could afford them, thereby disincentivising casual use. However, the recent evaluation by the […]

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Mozilla: Anthropic’s Mythos found 271 zero-day vulnerabilities in Firefox 150

Earlier this month, Anthropic said its Mythos Preview model was so good at finding cybersecurity vulnerabilities that the company was limiting its initial release to “a limited group of critical industry partners.” Since then, debate has raged over whether the model presages an era of turbocharged AI-aided hacking or if Anthropic is just building hype

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Mozilla launches Thunderbolt AI client with focus on self-hosted infrastructure

Mozilla is the latest legacy tech brand to make a play for the enterprise AI market. But the company behind Firefox and Thunderbird isn’t releasing its own standalone AI model or agentic browser. Instead, the newly announced Thunderbolt is being sold as a front-end client for users and businesses who want to run their own

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Mozilla dev’s “Stack Overflow for agents” targets a key weakness in coding AI

Mozilla developer Peter Wilson has taken to the Mozilla.ai blog to announce cq, which he describes as “Stack Overflow for agents.” The nascent project hints at something genuinely useful, but it will have to address security, data poisoning, and accuracy to achieve significant adoption. It’s meant to solve a couple of problems. First, coding agents

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The AI bubble will pop. It’s up to us to replace it responsibly | Mark Surman

When bubbles burst, what comes next can be better, if we build it differentlyIt was December 1999. Tech investors were riding high, convinced that a website and a Super Bowl ad were all it took to get rich quick. Spending was mistaken for growth; marketing was mistaken for a business model. In just a few

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