AI is genuinely transformative for defenders. AWS Continuum for code vulnerabilities scored higher than any other AI agent on CyberGym-E2E, the benchmark that measures the full loop from finding a vulnerability to shipping the fix. Generally available today.

Grok 4.7 xHigh ranked #1# on Artificial Analysis’ Cyber Index Grok 4.7 is now very powerful with serious cybersecurity capabilities It outperformed Claude Opus 5.5, Fable 5.1, ChatGPT 6 Astra and other frontier models The Cyber Index combines three evaluations: • CWE-Bench-AA • DeepsecBench-AA • CyberGym-E2E-AA Grok 4.7 is now sitting right at the frontier of cybersecurity reasoning

🚨 DeepSeek V4.1-Flash is kind of insane. It’s already beating GPT-5.6 Sol on several coding + agent benchmarks: • DeepSWE: 74.2 vs 73.0 • AutomationBench: 54.8 vs 45.8 • Agents’ Last Exam: 31.8 vs 26.7 • CyberGym: 88.1 vs 84.5 And this is only the Flash model. V4.1-Pro is still coming.

We’re also introducing Gemini 3.8 Flash Cyber, our most capable cybersecurity model. It shows frontier-level performance in discovering vulnerabilities and patching them at scale, with Flash-level speed & pricing. That includes achieving 86.2% on the important CyberGym industry benchmark, plus 47.2% on CWE-Bench for patching. We saw a 70%+ success rate in discovering vulnerabilities across 20 programming languages on our internal benchmark.

DeepSeek V4 Pro 0813 is live on OpenRouter. @deepseek_ai reports large agent gains over V4 Pro Preview: DeepSWE 62.7 (+49.9), CyberGym 83.3 (+30.6), NL2Repo 61.5 (+23.0), and Terminal Bench 2.1 87.9 (+15.8) More providers coming online soon Use it now:

We want to help all companies be secure, working with the USG and the security ecosystem. *The full version of GPT-5.5-Cyber is here; state of the art performance on CyberGym. *Patch The Planet and Codex Security will help solve security problems instead of just finding them.

Our new multi-model agentic security system brings together more than 100 specialized agents across frontier and custom models to find exploitable bugs, delivering top performance on the CyberGym benchmark. We used it ahead of Patch Tuesday to help find and fix 16 vulnerabilities. Today we’re announcing that customers can sign up to test it in private preview.

Created a "benchmark benchmark": a frequency distribution of which benchmarks were reported by the frontier labs in 2026: Some observations: - HLE, SWE-Bench Pro, DeepSWE, and Terminal-Bench saw universal adoption - Scale AI is behind two of those four (SWE-Bench Pro, HLE w/ CAIS), plus MCP-Atlas (#9# benchmark) - Of the frontier labs, OpenAI is the most prolific benchmark producer (SWE-bench Verified, BrowseComp, GDPval); people don't seem to mind evaluating on a benchmark made by a competitor - Anthropic has just one on the chart (BioMysteryBench) that basically nobody uses 🤔 - In academia, strong showings from Princeton (SWE-bench, CharXiv), Stanford (Terminal-Bench), Berkeley (CyberGym, Agents' Last Exam), and NYU (GPQA) - DeepSWE saw incredible adoption, from first appearing in June to all 12 labs reporting it - Labs cycled through four versions of Terminal-Bench (2.0 → 4.0) in a single year

IQuest-Q1 lands with 320B MoE scale, 15B active parameters, and a 512K context window for long-horizon coding agents. 🤖 🧠 Built for agentic coding, complex reasoning, and multi-step tool use across long-running workflows. 🏆 Scores 84.5 on CyberGym, 83.2 on Terminal-Bench 2.1, 64.6 on DeepSWE v1.1, and 63.0 on NL2Repo. ⚡ 256 experts with 8 activated per token, hybrid sliding-window/full attention, and recursive MTP for faster decoding. 🛠️ Production deployment supports SGLang and vLLM, with integrations for Claude Code, Codex CLI, and OpenAI-compatible APIs. 📜 Weights released under the IQuest-Q1 License.