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Mozilla announced today that it updated the GPG key used to sign Firefox and Thunderbird releases after it was accidentally exposed on GitHub. [...]
AI agents can improvise beyond the intended scope of a task when they are given broad access to enterprise systems and data. Token Security explains why organizations need to define agent intent and continuously enforce permissions around what each agent was actually created to do. [...]
Phone and Bluetooth signals could turn roadside cameras into far richer tracking tools.
OpenAI on Monday unveiled a new cybersecurity-focused model called GPT‑5.6‑Cyber that it said is focused on vulnerability research, penetration testing, and incident response. "Built on GPT‑5.6 Sol, it is trained to improve capabilities on several specialized cybersecurity tasks (e.g., finding zero-day vulnerabilities and developing exploit chains) and to reduce refusals for certain higher-risk
Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning... Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning model for every execution step adds cost and latency. NVIDIA Nemotron 3.5 Lightning is an open 30B mixture-of-experts (MoE) model with 3B active parameters built for that execution la
On one of our projects, we were building microfrontends, and at some point we wanted to add SSR. The reasons were the usual ones: better first paint, fewer layout shifts, real content for crawlers, less JS to load before something appears on screen. Setting it up turned out to be harder than I expected. There was no obvious out-of-box path that fit our setup, and most of the approaches I found either assumed a shared build or asked us to add new infrastructure on top of what we already had.
In the first half of 2026, Cloudflare detected a 519% surge in hyper-volumetric DDos attacks across its network. These attacks were driven heavily by DNS and CLDAP reflection vectors. This report breaks down how major geopolitical conflicts reshaped the global cyber threat landscape.
Building an AI agent does not end with choosing a single model. Each model has its own strengths, weaknesses, and cost profile, which can shift from one... Building an AI agent does not end with choosing a single model. Each model has its own strengths, weaknesses, and cost profile, which can shift from one workload to another—or even within the same workload. For example, an agentic task may need classification for one step, reasoning for the next, and a smaller model for routine follow-up task
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