--- title: Black Hat 2026's real theme: nobody trusts MTTR anymore description: Black Hat USA 2026 coverage converges on a single theme: traditional security metrics like Mean Time to Detect and Mean Time to Respond are losing relevance as... canonical: https://daily.dev/posts/black-hat-2026-s-real-theme-nobody-trusts-mttr-anymore-ebxirlufq twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Black Hat 2026's real theme: nobody trusts MTTR anymore | daily.dev og:description: Black Hat USA 2026 coverage converges on a single theme: traditional security metrics like Mean Time to Detect and Mean Time to Respond are losing relevance as... og:url: https://daily.dev/posts/black-hat-2026-s-real-theme-nobody-trusts-mttr-anymore-ebxirlufq og:image: https://api.daily.dev/og/posts/EBxIrlUfQ.png og:image:alt: Black Hat 2026's real theme: nobody trusts MTTR anymore 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. # Black Hat 2026's real theme: nobody trusts MTTR anymore **[Trends](https://daily.dev/sources/trends)** · 1 min read · 1 upvotes · 0 comments ## Summary Black Hat USA 2026 coverage converges on a single theme: traditional security metrics like Mean Time to Detect and Mean Time to Respond are losing relevance as AI accelerates the gap between vulnerability disclosure and exploitation, per a Five Eyes joint statement. Arctic Wolf is pushing a replacement metric, Mean Time to Trusted Action, tied to its Aurora Agentic SOC platform, claiming 10 trillion weekly events processed and 60%+ autonomous case resolution. Governance of non-human AI agents is emerging as a budget line item, with identity-based microsegmentation extended to agents. Legacy AppSec scanners are criticized for high false-positive rates against AI-generated code, pushing teams toward attack path analysis tied to business risk. Tenable's SWARM hackathon offered a concrete counterpoint: nearly 100 practitioners built open-source defensive agents in 48 hours, with winning entries collapsing findings into prioritized actions, correlating scan results to find reachable flaws, and auto-generating audit evidence, all published on Tenable's CyberAgents Exchange. ## Content Black Hat USA 2026 landed on an uncomfortable consensus: the old model of finding bugs, patching them, and hoping you're faster than attackers is falling apart, and AI is the reason. Microsoft's David Weston made the loudest case for it. His team's MDASH tool chewed through the Linux kernel and found roughly 200 vulnerabilities, then automatically generated 182 working proofs of concept, many of them full root exploits, at an average cost of $3.61 and 21 minutes apiece. Sit with that number for a second. Twenty-one minutes. Weston's takeaway wasn't ## Questions this post answers ### What is Mean Time to Trusted Action (MTTA) in cybersecurity? Mean Time to Trusted Action is a proposed security metric from Arctic Wolf, introduced alongside its Aurora Agentic SOC platform, meant to replace Mean Time to Detect and Mean Time to Respond. It measures how quickly an AI-driven action can be trusted enough to take without waiting on human verification, reflecting that AI-accelerated exploitation has outpaced traditional detect-and-respond timing. _Security teams weighing new AI-driven metrics against legacy MTTR can track these shifts on daily.dev._ ### What did the winning entry in Tenable's SWARM hackathon do? Chokepoint Finder won Tenable's SWARM hackathon by collapsing thousands of security findings into a handful of prioritized, actionable items. The 48-hour event involved nearly 100 practitioners building open-source defensive AI agents; second place correlated static and dynamic scan results to identify flaws actually reachable in production, and third place auto-generated auditor-ready evidence that fixes had already been applied. _Practitioners building or evaluating open-source defensive agents can follow this work via daily.dev._ ### Why are legacy AppSec scanners struggling with AI-generated code? Legacy AppSec tooling can't keep pace because AI-generated code is being produced faster than scanners can triage it, and false positive rates once considered merely annoying are now untenable at that volume. The emerging fix favored by practitioners is attack path analysis tied to actual business risk rather than simply counting CVEs. _Teams rethinking AppSec workflows around AI-generated code can follow the debate on daily.dev._ ## Similar posts on daily.dev - [Did AI Just Break Software Security For Ever?](https://daily.dev/posts/did-ai-just-break-software-security-for-ever--6pxwdikky) · Foojay.io · 0 upvotes · 0 comments --- Tags: [#security](https://daily.dev/tags/security), [#ai-agents](https://daily.dev/tags/ai-agents), [#appsec](https://daily.dev/tags/appsec) [View this post on daily.dev](https://daily.dev/posts/black-hat-2026-s-real-theme-nobody-trusts-mttr-anymore-ebxirlufq) ```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":"Black Hat 2026's real theme: nobody trusts MTTR anymore","url":"https://daily.dev/posts/black-hat-2026-s-real-theme-nobody-trusts-mttr-anymore-ebxirlufq","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/black-hat-2026-s-real-theme-nobody-trusts-mttr-anymore-ebxirlufq"},"datePublished":"2026-08-12T19:19:32.200Z","dateModified":"2026-08-14T03:29:34.073Z","description":"Black Hat USA 2026 coverage converges on a single theme: traditional security metrics like Mean Time to Detect and Mean Time to Respond are losing relevance as...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fcdd2e89a7d6c253f522726e4017278e?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fcdd2e89a7d6c253f522726e4017278e?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Trends","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Trends","logo":"https://media.daily.dev/image/upload/s--ZfSp3asX--/f_auto,q_auto/v1780996004/logos/trends?_a=BAMAMiWQ0","url":"https://daily.dev/sources/trends"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/black-hat-2026-s-real-theme-nobody-trusts-mttr-anymore-ebxirlufq","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"security,ai-agents,appsec","timeRequired":"PT1M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Trends","item":"https://daily.dev/sources/trends"},{"@type":"ListItem","position":3,"name":"Black Hat 2026's real theme: nobody trusts MTTR anymore"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/black-hat-2026-s-real-theme-nobody-trusts-mttr-anymore-ebxirlufq#faq","mainEntity":[{"@type":"Question","name":"What is Mean Time to Trusted Action (MTTA) in cybersecurity?","acceptedAnswer":{"@type":"Answer","text":"Mean Time to Trusted Action is a proposed security metric from Arctic Wolf, introduced alongside its Aurora Agentic SOC platform, meant to replace Mean Time to Detect and Mean Time to Respond. 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