At the top of the hour, join Dreadnode CEO Brad Palm, Jason Rivera (SimSpace), Tom Powledge (Gartner), and Gregory Bell (Corelight) for a panel discussion on how to deploy and scale AI with confidence. Security leaders can tune in for insights on building governance frameworks, establishing meaningful metrics, and stress testing your defenses to keep pace with advancing capability. 📅 Today, September 24 🕚 11:00 AM ET 🔗 Save your seat: https://lnkd.in/gUFqBh2h See you there?
About us
Dreadnode is a platform for building and running AI agents with confidence. Everyone's talking about agents. But actually building them, testing whether they work, and deploying them reliably? That's hard. Dreadnode is the infrastructure that makes it possible. Our platform gives teams: A place to build agents — with a library of out-of-the-box capabilities spanning AI red teaming, web security, network ops, reversing, among other security tasks A place to run them — in isolated, secure runtime environments A place to measure them — with evaluations, traces, and datasets so you can see exactly what an agent did, how well it performed, and where it broke A place to improve them — with fine-tuning, optimization, and iteration tools It's the platform where agents and models go from demo to dependable. Dreadnode is supported by Decibel, In-Q-Tel (IQT), NFC, Sands Capital, Indie VC, Aviso Ventures, Jon Oringer, and others. Learn more at www.dreadnode.io or follow us @dreadnode.
- Website
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https://www.dreadnode.io/
External link for Dreadnode
- Industry
- Computer and Network Security
- Company size
- 11-50 employees
- Type
- Privately Held
- Founded
- 2023
Employees at Dreadnode
Updates
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Thursday!
Come [virtually] hang with me, Tom Powledge (Gartner), Jason Rivera (SimSpace), and Gregory Bell (Corelight) this Thursday (9/24) at the 60-minute AI Proving Grounds Consortium. Event starts at 11am ET. We’ll be swapping stories and insights on how security organizations can operationalize AI confidently, followed by a live Q&A. Free to attend - hope to see you there! https://lnkd.in/g3cZ-9wU
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Does Jev live up to the hype? Based on the results of running it against our ScopeJudge benchmark, it does. TypeSafe AI's #Jev was competitive with leading LLM judges, catching agent scope violations at pennies per thousand checks, with 130 millisecond responses on average. We tested Jev on 4,897 recorded agent actions, compared its decisions with human reviewers, and measured it against the paper’s published results. When provided the user’s request and an action to check, Jev had the highest score in that setting. Then, we tested judging escalation: start with Jev and bring in smarter judges when needed. Low-confidence decisions go to GLM; disagreements go to Opus. Most decisions stayed with Jev. The chain scored comparably to the paper’s best at half the cost. Jev adds a fast check for contextual scope decisions, a promising step toward efficient runtime judges. Of course, not everything is a nail with this new hammer. Hard limits belong in code: permissions, network restrictions, and sandbox controls. If code can decide, enforce it there.
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Join the AI Proving Grounds Consortium next Thursday for a 60-minute virtual council around governing, measuring, and operationalizing AI at scale. 📅 September 24, 2026 ⏰ 11:00 AM ET Tune in at 11:15 AM ET for a panel on training Mythos-ready AI agents with hyper-synthetic data, featuring Dreadnode's Brad Palm, Tom Powledge (Gartner), Jason Rivera (SimSpace), and Gregory Bell (Corelight). Save your seat: https://lnkd.in/gUFqBh2h #AICybersecurity #AIPGC #AISecurity #AITRiSM #Gartner
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Dreadnode reposted this
AI agents built on static datasets can look capable in testing. What happens when they meet the variability of a real environment? On September 24, Corelight Co-Founder and Chief Strategy Officer Gregory Bell joins SimSpace and Dreadnode for a Virtual Council panel chaired by Gartner VP Analyst Tom Powledge, exploring how hyper-synthetic, production-grade telemetry can be used to train and stress-test autonomous security agents against dynamic threats. The discussion will dig into what it takes to build AI agents that can operate beyond the lab, especially as attackers begin using models like Mythos and Daybreak. 👉 Register for the Virtual Council: https://lnkd.in/eN8capyF
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Dreadnode reposted this
The primary barrier to deploying AI agents in enterprise production environments isn't capability. It's security and compliance gaps ✅ How are top organizations closing these gaps? On September 24 at 11:00 AM ET, join the AI Proving Grounds Consortium, Gartner VP Analyst Tom Powledge, and security leaders from Corelight, Dreadnode, and SimSpace for an inside look at exclusive enterprise research. We’ll break down: 📊 Gartner’s latest data on enterprise AI security and adoption maturity. 🛡️ Practical governance strategies rooted in proprietary research. 🚀 How to train AI agents you can trust to withstand advanced attacks fueled by the latest LLM models like Mythos and Daybreak. Don't miss out on these research-backed insights. Register now to secure your spot: https://lnkd.in/eRPGjC3F #AIPGC #Gartner #AISecurity #AICybersecurity #Dreadnode #Corelight
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💪💪💪💪💪 Tomorrow (9/17) Martin Wendiggensen takes the stage at the final SentinelOne LabsCon to discuss how to leverage offensive cyber capabilities to improve defenses in the age of AI. More info: https://lnkd.in/gP83_6gs
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Qwen 3.8 Flash eval results are live on DreadIndex, landing at #19 on our leaderboard. It does well for its cost, but remains light on offensive security capability (not surprising given it is a flash model). See how it compares to other models: https://lnkd.in/gKuHPRE3
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