DeepTempo

🏛️ Government agencies are under pressure to modernize infrastructure, secure telemetry pipelines, and deliver #AI-ready data — and the margin for complexity is gone. #CriblConnect Washington, D.C. on May 21 is a full day of architectural frameworks, peer-driven sessions, and hands-on labs designed to move your data strategy forward. See the agenda and register now: https://bit.ly/4wmFexV Thank you to our sponsors: August Schell, Amazon Web Services (AWS), Axonius Federal Systems, BLACKWOOD, Carahsoft, DeepTempo, Deloitte, Gigamon, GuidePoint Security, Merlin Cyber, NETbuilder, ThunderCat Technology, Tines, Vectra AI, and World Wide Technology

Most teams don’t lose to attackers because they lack tools. They lose because those tools weren’t built to see how modern attacks actually unfold. In his blog, Evan Powell breaks down why vertical foundation models sound compelling in theory, but are far harder to deliver in production than most realize. The gap isn’t the model itself. It’s everything around it. Real-world deployment means working with messy, high-volume telemetry across cloud, data center, and hybrid environments. It means building architectures that preserve structure, not just tokens. It means turning embeddings into real detections with domain-specific labeling. And it means operating at production speed, without sacrificing accuracy. Vertical models aren’t just smaller, specialized LLMs. When done right, they become systems that actually expand what detection can see. That’s the difference between a research paper and a production security platform. Learn more: https://lnkd.in/eUTBg7jE #CyberSecurity #MachineLearning #ThreatDetection #AISOC

UEBA was supposed to catch this! Slow, patient credential abuse, the kind of attack that doesn’t spike, doesn’t trip thresholds, and doesn’t look “unusual” in isolation. The problem isn’t the math. It’s the model. UEBA adapts. Baselines drift. And attackers know it. So they move slowly enough to become part of “normal.” A few reads per week, a credential reused at the right moment, and access that accumulates over months. No single event looks wrong. But the sequence tells a very different story. This is where traditional detection breaks and where behavior, context, and long-term sequence matter more than deviation. Because the most effective attacks today don’t stand out. They settle in. Read the full breakdown on why UEBA misses what it was built to catch. 👉 https://lnkd.in/eBdqi_2V #CyberSecurity #ThreatDetection #UEBA #SecurityOperations

DeepTempo is excited to be part of the upcoming AI Cyber Alliance DC meetup in Tysons on May 19, bringing together practitioners, researchers, and operators working at the frontier of AI security and offensive operations. We’re especially looking forward to sessions from Jackson R. and Aaron Boteler, including a live demo showing what becomes possible when DeepTempo’s LogLM behavioral detection stream is paired with immersive OT visualization through vStrike. As AI-driven threats evolve, visibility and context matter more than ever. The future of security operations won’t just be about alerts — it will be about understanding behavior, infrastructure, and intent in real time. If you’re in the DC area, we’d love to connect. Register here: https://luma.com/vjc5f75g #CyberSecurity #ThreatDetection #OTSecurity #SecurityOperations

AI isn’t just introducing new risks. It’s exposing what our detection systems were never built to see. In his latest piece in SiliconANGLE & theCUBE, CEO Evan Powell breaks down how side-channel attacks reveal a deeper issue: The signal is there…but it doesn’t look like an indicator. No malware. No signature. No anomaly in isolation. Just patterns that traditional detection can’t interpret. This is the real gap. AI applied after detection helps you move faster. AI applied to behavior helps you see what was invisible. That distinction is becoming critical. 👉 Read the full article: https://lnkd.in/eNdQuAJN #CyberSecurity #AIThreatDetection #SecurityOperations #CISO

We’re proud to be sponsoring and attending Cribl Connect in Washington DC next week on May 21! This isn’t a typical conference. It’s a working session for public sector leaders navigating some of the hardest challenges in security today: → Building AI-ready telemetry architectures → Enabling Zero Trust through better data control → Modernizing pipelines without breaking compliance As agencies face increasing pressure to do more with less, the conversation is shifting from tools → to data, and from visibility → to understanding. That’s exactly where DeepTempo operates. If you’re attending, let’s connect. We’d love to talk about how intent-based detection fits into modern telemetry strategies. 👉 Register and learn more about the event: https://lnkd.in/e5BMudJp #CyberSecurity #PublicSector #AIThreatDetection #ZeroTrust #DataStrategy

In this demo, DeepTempo runs a CIC dataset from scratchwith no pre-training, no tuning, and surfaces nearly 12,000 alerts across 8 MITRE ATT&CK tactics. But the real value isn’t just detection. It’s visibility. From embedding space visualization to AI-driven event analysis, you can actually see how activity clusters, connects, and unfolds. This is what modern detection should look like. 🎥 Watch the demo to see it in action: https://lnkd.in/dj_ntmZm #CyberSecurity #AIThreatDetection #MITREATTACK #SOC

AI is changing how attacks are executed and exposes the limits of how we detect them. Most security tools still rely on rules, signatures, and “known” patterns. But modern threats don’t need to be new or even abnormal to succeed. They just need to blend in. That’s where AI-driven threat detection changes the game. Instead of asking “Have we seen this before?” It asks: “What is actually happening here?” By understanding behavior and intent across telemetry, AI can surface early-stage activity that traditional detection misses, before it becomes a breach. Detection shouldn’t just flag activity. It should explain it. Learn more: https://www.deeptempo.ai/ #CyberSecurity #AIThreatDetection #SOC #SecurityOperations

If you’re in the Bay Area next week, this is one you won’t want to miss! DeepTempo is excited to be part of AI Cyber Alliance Meet-up on May 13 in San Jose. An evening focused on what’s actually happening at the frontier of AI security and offensive operations. We’re especially looking forward to talks from Jackson R. and Josiah Lashley. Jackson will dive into the inner workings (and attack surface) of coding agents. How they operate, what they expose, and how tools like Tollbooth can intercept and manipulate that behavior in real time. Josiah will take a different angle: how to translate raw telemetry into something analysts can actually reason about. His session explores how encoder–decoder architectures turn logs into narratives, bridging the gap between machine-scale data and human decision-making. The bigger theme behind both talks: AI is changing not just how attacks happen, but how we need to think about detection, visibility, and control. If you’re working in security, ML, or anywhere in between, this is a strong room to be in. 📍 May 13 | 6-8 PM 🍽️ Food + networking included 🎟️ Space is limited Hope to see some familiar faces there. Register here: https://luma.com/z069akwi #CyberSecurity #AIThreatDetection #MachineLearning #InfoSec #BayAreaTech

There’s a growing trust gap in detection right now. Security teams are overwhelmed with alerts that are technically “correct", but operationally useless. Most tools still ask: “Is this unusual?”, which is the foundation of UEBA and traditional anomaly detection. And it’s part of the problem. AI attackers don’t need to be unusual, they just need to look normal enough. DeepTempo takes a different approach: “What is this activity trying to accomplish?” By focusing on intent, early-stage attack behavior becomes visible, even when it blends into baseline activity. This is where trust gets rebuilt: 👉 Clearer context 👉 Fewer false signals 👉 Detection that aligns with how attackers actually operate Security teams need systems that actually see what’s happening. Learn more: https://lnkd.in/dn5WbfYC #CyberSecurity #ThreatDetection #AI #SOC #SecurityOperations