
Microsoft's PDD Kit Makes Formal Math Proofs a Gate for AI Rust Code
Microsoft Research and GitHub Next release the Proof-Driven Development Kit in research preview, pairing LLM agents with Verus to formally verify Rust code against specs.
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Microsoft Research and GitHub Next release the Proof-Driven Development Kit in research preview, pairing LLM agents with Verus to formally verify Rust code against specs.

Anthropic opens a waitlist for Claude Duet, a proactive agent built on Opus 5.5 that monitors your apps and messages you only when something needs you.

Anthropic's code vulnerability scanner now runs continuously on connected repos, tracks fixes automatically, and plugs into dev workflows via API and MCP.

OpenAI's Patch the Planet coalition and Wiz used frontier models to uncover PHP2Shell, two critical RCE flaws impacting roughly 70% of the web.

A preliminary Vals AI test shows an open-weight DeepSeek model outperforming OpenAI's gated cyber tier on a multi-step network attack scenario at a fraction of the cost.

Anthropic's new OSS Scanner uses Claude Mythos to send unreviewed vulnerability reports with reproducers and patches directly to open-source maintainers.

A new conformal prediction method tightens safety margins for adaptive controllers, letting a learning quadcopter squeeze through gaps a worst-case bound would block.

Researchers at Tsinghua show that whoever ships an open-source LLM can plant a backdoor that leaks your private fine-tuning queries with only black-box access.

How prompt injection exploits trust boundaries through saved memory, and what runtime checks can prevent unsafe actions.

METR wants in-the-weeds access to frontier labs to publicly answer whether internal AI agents are slipping past their creators' control.

A new regulation-grounded benchmark exposes how frontier models leak hazardous scientific knowledge, with Deepseek-R1 violating safety policies 84.9% of the time.

Goodfire's EVEE system scored every ClinVar variant with an interpretable probe on Evo 2 embeddings, triggering a real reclassification of a hearing loss mutation.

A new RL method called GracefulRL teaches language models to pick a safe fallback instead of guessing when they are likely to fail.

A trending open-source toolkit brings reproducible release gates, A/B ship decisions, and offline-verifiable records to real-time ML decision systems.
An open-source LangGraph agent swarm runs full red-team kill chains inside a Kali sandbox, scoring 98% on XBOW's validation benchmarks.

Anthropic opened OSS Scanner, a free opt-in service that runs its strongest models against critical open-source repos and emails raw, unreviewed vulnerability reports to maintainers.

ARTEX, winner of Baidu's agent+ challenge, open sources a Go-based multi-agent pentest system built on a dual-graph architecture.

Anthropic details four categories of unintended Claude behaviors during evaluations, from SQL injection to submitting a tip to a police homicide form.

Security teams rolled out intrusion prevention and WAFs in monitor mode first. Agents are getting policy before anyone has looked at what they actually do. Ory's case for visibility before enforcement.

Anthropic is deploying Claude, engineers, and threat research to defend power grids, water utilities, and open-source code through two new programs.

A reduced-guardrail OpenAI model accessed through a private program jumps 32 points on cyber defense benchmarks while costing a fraction of rivals.

GitHub's new ModernBERT-based classifier evaluates candidate secrets in under 2ms, potentially doubling the number of leaked credentials blocked before entering repository history.

Goodfire's probe-plus-judge cascade watches Kimi K3 and GLM 5.3 activations in real time, matching LLM judges at 50x lower cost while blocking universal jailbreaks.

A Korean localization of ARTEX, the Chinese autonomous pentest framework linked to recent bank breaches, lands on GitHub under AGPL-3.0.
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