AI Security Research
MindFort research on how frontier AI models and agents perform at offensive security, with NexBench results, model evaluations, and threat analysis.
Why Time to Patch Is Moving From Weeks to Seconds
Attackers now exploit bugs in hours, and often before disclosure. Most teams still take weeks to patch. This post covers the data behind the gap and why opening a pull request is no longer the finish line. Fixes have to reach production, be proven live, and stay fixed.
Why Are Agent Swarms the Future of Security?
AI has cut the time attackers need from hours to minutes, while most companies still pentest on a calendar. This post covers why a model alone and a single agent fall short, and why swarms of security agents close the gap when they are built to be cost efficient.
Our evaluation of DeepSeek V4.1 Flash 1017 Uncensored
An uncensored open-weight model, run as an autonomous penetration-testing agent, found and exploited real vulnerabilities end to end with zero refusals. Left unchecked, it also crashes, alters and backdoors the systems it tests.
What Is Model Abliteration?
Abliteration stops an open-weight LLM from refusing by editing its weights. This guide covers how it works and how abliterated models differ from uncensored fine-tunes. It also covers the capability cost and the risks of running one.
How Good Is DeepSeek V4.1-Flash-1017 For Cybersecurity?
DeepSeek V4.1-Flash-1017 took first place on MindFort's NexBench pentest benchmark at $0.60 per validated finding. We break down its runs, its cost, and its risks.
How Good Is Claude Haiku 5.5 For Cybersecurity?
Claude Haiku 5.5 tied Opus 4.8 on MindFort's NexBench pentest benchmark at a fraction of the cost. We break down its runs, effort levels, and safeguards.
How Good Is Grok 4.7 For Cybersecurity?
Grok 4.7 scored 70 in its one recorded NexBench run, below Grok 4.6's 114. We examine those runs and xAI's cyber evals.
How Good Is Grok 4.7 For Cybersecurity?
Grok 4.7 scored 70 in its one recorded NexBench run, below Grok 4.6's 114. We examine those runs and xAI's cyber evals.
How Good Is Grok 4.6 For Cybersecurity?
Grok 4.6 scored 114 in one recorded NexBench run. GPT-5.6 Sol's best of five runs scored 61. We examine the result and xAI's cyber evals.
How Good Is Grok 4.6 For Cybersecurity?
Grok 4.6 scored 114 in one recorded NexBench run. GPT-5.6 Sol's best of five runs scored 61. We examine the result and xAI's cyber evals.
How Good Is GLM-5.3 For Cybersecurity?
Z.ai's GLM-5.3 posts the top CyberGym score of any model, but it finished twelfth of 17 on MindFort's NexBench pentest benchmark. Here's why, what it costs, and what its open weights change.
How Good Is GPT-6 Astra For Cybersecurity?
OpenAI released GPT-6 Astra on September 3, 2026, the first model to hit its Critical cybersecurity threshold. But the public version refuses advanced cyber tasks. Here's what that means for security teams.
How Good Is Qwen 3.8 For Cybersecurity?
Qwen 3.8 27B is a small, open-weight model you can run on one GPU, and the uncensored build strips its safeguards entirely. Here's how good it is for real security work, how cheap it is to run, and what a guardrail-free local model changes for defenders.
How Good Is Opus 5 For Cybersecurity?
Anthropic unblocked source-code vulnerability discovery for every Opus 5 user, and the model now finds bugs at close to Mythos-class quality. Here's where it still falls short of Mythos 5, and what defenders should do now.
Introducing NexBench: MindFort's Internal Model Evaluation
Today, we're introducing NexBench, our internal benchmark for measuring which models can lead an offensive-security harness while balancing validated findings, token efficiency, and cost across real-world environments.
Autonomous Attackers Are Here: What the OpenAI / Hugging Face Breach Proves
OpenAI confirmed its own pre-release models breached Hugging Face, finding a zero-day, escaping the sandbox, and reaching production. Here is what the first end-to-end agentic attack means for your security program.
How Good Is Kimi K3 For Cybersecurity?
Kimi K3 is the first open-weight model to reach the cyber frontier, and it does it at a fraction of the cost of the closed labs. Here's how good it is for real security work, how the cost compares, and what an open-weight frontier model changes for defenders.
How Good Are AI Agents For Cybersecurity?
AI agents have topped bug bounty leaderboards, caught real zero-days, and shipped their own patches autonomously. Here's what they can actually do in cybersecurity today, how they stack up against human pen testers, and how to tell a real agent from a scanner.
How Good Is GPT-5.6 for Cybersecurity?
OpenAI previewed GPT-5.6 (Sol, Terra, and Luna) on June 26, 2026, its first model family rated High capability in both cyber and bio. Here's what it can and can't do for security work, how it compares to Mythos, and why it's gated to government-approved partners.
How Good Is Fable 5 For Cybersecurity?
Claude Fable 5 is the most capable model the public can use, but its safeguards quietly route cybersecurity prompts to Opus 4.8. Here's what that means for security work, how it compares to Mythos, and what defenders should do now.
How Good Is Opus 4.8 For Cybersecurity?
Anthropic released Claude Opus 4.8 on May 28, 2026 with the lowest hallucination rate of any tested model. Here's what it's good for in security work, where Mythos still outperforms it, and what defenders should actually do now.
How Good Is Daybreak for Cybersecurity?
Daybreak is OpenAI's most ambitious defensive-AI initiative yet. Here's what it does, where it falls short, and what it means for your security program.
How Good Is Vercel's deepsec for Cybersecurity?
Vercel's deepsec is an open-source AI security harness. Here's how it works, what it gets right and why runtime testing still matters.
How Good Is GPT-5.5 for Cybersecurity?
OpenAI's GPT-5.5 is the first GPT model classified as High capability for cybersecurity. Here's what the benchmarks, red-team results, and live pen testing data actually say about what it can and cannot do.
Claude Opus 4.7 for Cybersecurity: What It's Good For, What It Isn't
Anthropic shipped Opus 4.7 with intentionally dialed-back offensive capabilities. Here's what it's actually good for in security work, where it falls short of Mythos, and how to defend against Mythos-class discovery without Mythos access.
What Is Claude Mythos? Who Can Use It and Why It Matters
Claude Mythos 5.1 is Anthropic's most capable model for finding and exploiting software bugs. Here's what it can do and who can use it. We also cover how it differs from Fable 5.1 and what security teams should do now.
When AI Hackers Attack: Inside the Claude Botnet That Changed Cybersecurity Forever
Chinese state-sponsored hackers used Anthropic's Claude to autonomously hack 30+ organizations. Here's what this means for defenders, and why you need AI on your side.