--- title: We are not ready for what AI has done to red teaming description: AI has rewritten the economics of offensive security, letting small red teams outperform much larger traditional operations. A 3-4 person team used to produce... canonical: https://daily.dev/posts/we-are-not-ready-for-what-ai-has-done-to-red-teaming-up6zopaa8 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: We are not ready for what AI has done to red teaming | daily.dev og:description: AI has rewritten the economics of offensive security, letting small red teams outperform much larger traditional operations. A 3-4 person team used to produce... og:url: https://daily.dev/posts/we-are-not-ready-for-what-ai-has-done-to-red-teaming-up6zopaa8 og:image: https://api.daily.dev/og/posts/uP6ZoPaA8.png og:image:alt: We are not ready for what AI has done to red teaming og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # We are not ready for what AI has done to red teaming **[CSO Online](https://daily.dev/sources/csoonline)** · 6 min read · 0 upvotes · 0 comments ## Summary AI has rewritten the economics of offensive security, letting small red teams outperform much larger traditional operations. A 3-4 person team used to produce 60 to 70 findings a year; AI-augmented operations now generate 90+ findings in a single after-hours exercise. Scanning capabilities can cover millions of IPs in 2-3 hours for roughly $20,000 to $30,000. Reporting that once took days of manual work, including mapping commands to the MITRE ATT&CK framework, can now get a first draft from 9-10 months of C2 logs in under 20 minutes. The authors say the field is splitting into 'unicorns' who pair judgment with AI and 'slop cannons' who misuse it blindly. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How much does AI-augmented red teaming improve finding output compared to traditional methods? A traditional 3-4 person red team produces 60 to 70 findings a year, while AI-augmented operations can generate 90+ findings in a single after-hours exercise. On a single application engagement, traditional teams find 7 to 10 issues versus 100+ true positive findings with AI augmentation. External reconnaissance also jumps from 150-200 valid findings a year to 100+ findings a month. _Security leaders weighing AI investment for offensive testing can track these productivity shifts on daily.dev._ ### How much does it cost to scan millions of IP addresses using AI-augmented red teaming? Building capabilities to scan millions of IPs in 2 to 3 hours costs roughly $20,000 to $30,000, according to red team practitioners who aggregated data from a decade of engagements. This is a dramatic acceleration compared to traditional large-scale scanning, which requires careful sequencing and pipelines or times out entirely. _Teams budgeting for AI-driven security tooling can follow cost and capability benchmarks like this on daily.dev._ ### How long does it take to generate a red team deconfliction report using AI versus manually? Nine to ten months of raw command-and-control logs can be fed into a frontier AI model to produce a comprehensive deconfliction report in under 20 minutes, mapping executed commands to the MITRE ATT&CK framework and translating technical data into narratives for executives. A human operator still needs to review the output, verify findings, and validate ATT&CK mappings before delivery. _Operators automating reporting workflows can keep up with AI tooling advances like this through daily.dev._ ## Similar posts on daily.dev - [From Zero-Day to Zero-Hour: How AI Compresses the Vulnerability Lifecycle](https://daily.dev/posts/from-zero-day-to-zero-hour-how-ai-compresses-the-vulnerability-lifecycle-5dcwvg44s) · Security Boulevard · 1 upvotes · 0 comments - [If you're not using AI to attack your own systems, your adversaries will](https://daily.dev/posts/if-you-re-not-using-ai-to-attack-your-own-systems-your-adversaries-will-vxcwnlrhi) · The Register · 5 upvotes · 1 comments - [AI Coding: Do Security Risks Outweigh Productivity Gains?](https://daily.dev/posts/ai-coding-do-security-risks-outweigh-productivity-gains--kajtshazx) · Dark Reading · 0 upvotes · 0 comments - [More pentesting, same budget, no surprises](https://daily.dev/posts/more-pentesting-same-budget-no-surprises-wnf521hlt) · Aikido Security · 0 upvotes · 0 comments --- Tags: [#ai-security](https://daily.dev/tags/ai-security), [#prompt-injection](https://daily.dev/tags/prompt-injection), [#red-teaming](https://daily.dev/tags/red-teaming), [#offensive-security](https://daily.dev/tags/offensive-security) [View this post on daily.dev](https://daily.dev/posts/we-are-not-ready-for-what-ai-has-done-to-red-teaming-up6zopaa8) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"We are not ready for what AI has done to red teaming","url":"https://daily.dev/posts/we-are-not-ready-for-what-ai-has-done-to-red-teaming-up6zopaa8","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/we-are-not-ready-for-what-ai-has-done-to-red-teaming-up6zopaa8"},"datePublished":"2026-10-30T09:05:16.155Z","dateModified":"2026-10-30T09:18:03.487Z","description":"AI has rewritten the economics of offensive security, letting small red teams outperform much larger traditional operations. 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