The Blog
Insights on autonomous security, AI agents, and application defense.
How Good Are AI Agents For Cybersecurity?
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.
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.
Announcing our partnership with MorphLLM
MindFort is partnering with MorphLLM to bring the latest abliterated open models to MindFort Swarms. Morph's inference meets the demands of running large-scale security agent swarms.
An evening with security leaders at Tech Week
MindFort hosted security leaders from Twilio, DoorDash, Snap, Marvell, and Perplexity for dinner and a conversation about the future of offensive security.
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.
What Are the Best AI Penetration Testing Tools in Japan? [October 2026]
Japan's ruling-party cyber chief called it an emergency in cyberspace. Here's how six AI pentesting tools and two leading Japanese firms compare on cost and coverage.
What Are the Best AI Penetration Testing Tools in South Korea? [October 2026]
Attackers used an AI pentesting agent against Korean banks this month. Here's how six AI pentesting tools compare with SK Shieldus and Theori on cost, coverage, and ISMS-P readiness.
What Are the Best AI Pentest Tools in the Netherlands? [October 2026]
The Cyberbeveiligingswet now applies to thousands of Dutch organisations. Here's how seven AI pentest tools compare with Bureau Veritas Cybersecurity and DEFION on cost and coverage.
How Do You Find IDOR Vulnerabilities With AI Agents?
What IDOR and cross-tenant access bugs are, why scanners miss them, and how to test for them with AI agents using MindFort's dual credential mode.
Will Auditors Accept an AI Pentest Report?
SOC 2 auditors and enterprise security teams accept AI pentest reports that show scope, proof, and remediation. The report also needs a current date. Here's what each checks and why continuous testing helps you win deals.
What Are the Best Claude Mythos Alternatives If You Can't Get Access?
Claude Mythos access is gated to vetted organizations. Here are the frontier models and autonomous pentest products you can use instead. Access rules and prices are as of October 2026.
How Do You Test Supabase Row Level Security With AI Agents?
A step-by-step guide to testing Supabase RLS with autonomous pentesting agents. Scope them, give them two accounts, and let them test continuously the way a real attacker would.
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 to Simulate Attackers on Your Own Sandboxes and Apps
An OpenAI model escaped its evaluation sandbox and reached Hugging Face's production infrastructure in 4.5 days. Here's how to run that same kind of attacker against your own sandbox, end to end.
What Are the Best AI Red Teaming Tools in 2026?
AI red teaming tools now attack web apps, APIs, networks and Active Directory the way a real adversary would. Here are the best ones in 2026 and where each fits.
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.
Best Pentera Alternatives for AI Pen Testing
Pentera is a well-known name in automated security validation, but its roughly $100K deals aren't the right fit for every team. Here's how MindFort, Horizon3.ai, RunSybil, Armadin, and XBOW compare.
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.
What Are the Best XBOW Alternatives in 2026?
XBOW is a well-known name in autonomous pen testing, but it isn't the right fit for every team, especially once cost efficiency matters. Here's how MindFort, RunSybil, Armadin, and Pentera compare.
How to Use AI Agents for Offensive Security
AI agents can now run continuous penetration tests against your own attack surface, validating real exploits in runtime instead of waiting for a quarterly pen test. Here's how to set them up end to end, from scoping and credentials to routing findings into your dev workflow.
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.
The Canvas Breach: 5 Things to Do Today to Strengthen Your AppSec
Canvas, the tool powering 9,000+ schools and universities, just got hacked.
The Canvas Breach: 5 Things to Do Today to Strengthen Your AppSec
Canvas, the tool powering 9,000+ schools and universities, just got hacked.
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.
Can Claude Security Pen-Test?
Claude Code Security is useful for static code review, but code security review is not a penetration test. Here's where Claude fits and where runtime testing still matters.
The 6 Best Code Security Tools in 2026, Ranked by What They're Best For
A practical ranking of six leading code security tools in 2026, from AI-native SAST to developer-first IDE feedback and enterprise ASPM.
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.
MindFort Announces $3M+ Seed to Secure the World's Software in the AI Era
MindFort raised a $3M+ seed round led by Soma Capital, with Y Combinator, 468 Capital, CRV, Sandwith Ventures, and Blast. The company is building the autonomous security agent for the AI era: agents that autonomously pen test, validate exploits, and ship fixes as PRs, including beyond application code, across cloud, identity, and infrastructure.
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.
How to Make Your Web App Mythos-Ready
Claude Mythos and Project Glasswing changed the math on vulnerability discovery. Here's how to make your web app Mythos-ready: continuous testing, validated findings, automated patching, and always-on autonomous security agents.
SOC 2 Penetration Testing: What Does SOC 2 Actually Require?
SOC 2 doesn't mandate a pen test by name. Auditors and enterprise buyers still expect one. Here's what the criteria say and how often to test. We also cover scope and what the report needs.
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.
What Are the Best AI Pentesting Tools? [November 2026]
We ranked the 7 best AI pentesting tools for 2026. See how MindFort, XBOW, RunSybil, and Pentera compare with Novee, Armadin, and A Security on pricing, coverage, and fixes.
Introducing AXR: Autonomous Exploitation and Remediation
Every security category that exists today stops at detection. None of them describe a system that also fixes what it finds. We looked for a category that captured what we built. It didn't exist. So we're defining it: AXR.
How Much Does a Penetration Test Cost in 2026?
Most penetration tests cost $10,000 to $30,000 in 2026. This guide breaks the price down by test type, company size, pricing model and compliance framework. It also covers hidden costs and what AI pentesting costs today.
Penetration Test vs Vulnerability Scan: What's the Difference?
These terms get used interchangeably, but they describe fundamentally different activities. Understanding the distinction matters more than you might think.
How Often Should You Penetration Test? The Real Answer
Annual testing was the standard for decades. In an era of continuous deployment, that cadence increasingly looks like a relic.
How Often Should You Penetration Test? The Real Answer
Annual testing was the standard for decades. In an era of continuous deployment, that cadence increasingly looks like a relic.
Automated vs Manual Penetration Testing: The False Dichotomy
The industry has long treated this as an either/or choice. That framing made sense when automation meant scanners. AI changes the equation entirely.
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.
From Vibe Coded to Hacked: The Tea App Breach and the Hidden Cost of AI-Generated Code
The Tea app promised safety for women sharing dating experiences. Then hackers exposed 72,000 images and 1.1 million private messages. Here's why AI-generated code needs AI-powered security.
MindFort AI Discovers Critical JWT Bypass and Business Logic Flaws Autonomously
Our AI-driven platform recently uncovered a critical JWT authentication bypass and multiple business logic flaws during an autonomous security assessment. Here's how it happened and what it means for your security posture.
Introducing AI-Powered Offensive Security
Traditional security testing is broken. See how MindFort's AI agents run offensive security continuously and autonomously, finding and fixing real vulnerabilities.