HOW SOC PRIME WORKS AGAINST AI-POWERED MACHINE-SPEED ATTACKS
Investigate your logs at machine speed. Today. Faster than AI can infer.
Threat Actors equipped with AI tools move at machine speed and generate massive evidence to overload the target’s defence capacity. Our engine correlates your evidence, keeps it private, and reveals the attack faster than AI can do inference. One engine. Three deployment modes. Free to start.
Trusted every day by teams that defend the world in cyber domain
What Hugging Face learned in July
In July 2026, autonomous AI agents broke out of a lab evaluation environment and compromised production infrastructure at Hugging Face. First responders recovered more than 17,000 attacker actions across four days. When they tried to reconstruct the attack with commercial AI models, the models’ guardrails refused the work because they could not distinguish an incident responder from an attacker. Hugging Face finished the job on a self-hosted model and its own GPU cluster. It was later revealed that full breach was 7 billion events, and cost of investigation was measured in millions of GPU hours and nearly ten million dollars.
The industry drew one lesson: defenders need unrestricted models and more compute.
We drew a different one. Incident response team was feeding evidence and payloads to a model, because the model was the final detection layer. If the knowledge of what attacks look like already exists, you never have to share raw logs. You can apply detection intelligence first, followed by AI explaining findings.
Sources: Hugging Face security incident disclosure, July 16, 2026; Hugging Face technical timeline, July 27, 2026.
Three ways to use the same engine
Most teams test it using LogTotal. Customers go on to run the same analysis across their SOC stack on a scheduled basis. The smartest move? Put the entire detection engine onto the data stream so it runs before the SIEM or AI ever sees the event. Same detections, same engine, three levels of commitment.
| START HERE Snapshot LogTotal | THEN Hunt Prime Hunt | EVENTUALLY Detect Prime Detect | |
|---|---|---|---|
| What it is | Upload one sanitized log set, get investigation results back under 1 minute. | Run the same detections across your SIEM, EDR or data lake, on demand and on schedule, to find attacks that were missed. | Run the detections in the stream, before the SIEM, continuously, on every event. |
| What you need | A log file. EVTX, CEF, JSON/NDJSON, or syslog. Nothing else. | API access to your SIEM, EDR, or data lake. | A place in your pipeline to insert a processing stage (Supporting Kafka, Flink, Cribl, Vector and more). |
| What you get | Ranked attack chains grounded in threat intelligence, mapped to techniques, with the events behind each one. Stealth techniques and outliers to spot AI powered APTs. | Same as in LogTotal, plus ongoing historical review, drill-down to raw events, statuses, comments, and team workflow. | Tagged events and alerts on attack chains as they form, plus routing decisions: what goes to the SIEM, what goes to cheap storage. |
| Time to value | Under a minute for up to 1.7 million events. | First hunt the day access is granted. Retrospective investigation mode, 15 minutes Mean Time to Detect and Investigate. | Days to deploy, then continuous. Sub-second data tagging and sub-minute Mean Time to Detect and Investigate an attack. |
| What it won't do | Watch anything after the scan. It is one file, once. | Stop an attack in progress. It finds what already happened. | Upgrade your SOC’s correlation engine. It runs in front of it producing high value telemetry that can be routed to SIEM or other destination. |
| Try LogTotal, Free |
The heavy lifting was done before.
THE SOC PRIME ENGINE
Already knows what an attack looks like.
Reasoning happened ahead of time, once, and is reused a billion times. Offensive AI can not invent novel implementations across all stages of cyber attacks. Defensive AI just explains the result and reveals context.
- 1M+ curated detection rules
- 13,000 cyber domain labels
- 1.7M events analyzed per minute
- 10+ years of detection intelligence evolution
SOC Prime made Sigma Rules popular, inventing the approach of tagging them with MITRE ATT&CK. For over a decade we have evolved our detection intelligence data which accounts for over 1 million detection rules and 13,000 cyber domain labels. This detection intelligence grows daily and provides the precision layer for our in-house agentic AI, Prime Architect, along with the rest of our products. Our approach removes inference delays and token bills because we own the bare metal infrastructure.
Each detection intelligence object is a conclusion about what a specific attack behavior looks like in logs whether it’s a log file or on the data stream. To experience this approach we offer LogTotal to the public. We care deeply about privacy and security at SOC Prime so we provide a log sanitizer which runs in the browser or is available open source that exceeds regulatory and military standards while preserving detection artifacts.
When you upload evidence our engine correlates it at a behavioral level. We look for a wide swath of behaviors including Stealth patterns and seemingly benign events and transform these into attacks chains. By using our massive data set and combinations of deterministic logic, we provide speed, quality, and efficiency at the same time. An LLM is not needed to read raw data. We have already done the heavy lifting. We don’t need to reason through every line at runtime. Agentic AI plays its role at the very end to expand context and explain results.
LogTotal can investigate 1.7 million events in under a minute. Prime Detect scales horizontally across an MDR/MSSP or large organization. The result is the same: Detection intelligence where you need it without the inference cost. The same engine scales from one file to a live data stream.
Straight answers
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It is not an LLM reading your logs.
Deterministic detection surfaces actions. Threat intelligence based correlation forms attack chains. AI adds context and explains. Your raw payloads never go to a model.
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One-shot or real time investigations, the choice is yours.
LogTotal is a snapshot. If you want continuous coverage, that is Prime Detect. And it runs faster than LogTotal.
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It does not keep your data.
Sanitization happens in the browser. Source code is open. Nothing is stored after analysis.
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It is not a SIEM: it is the machine-speed correlation engine, tuned for AI.
Prime Detect runs in front of your SIEM. Prime Hunt runs on top of EDR and Data Lake. LogTotal doesn’t touch them.
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It is not a black box.
Detections are Sigma-based, readable, and editable. The sanitizer is open source under Apache 2.0.
Start with one file
Pick a log set from an incident, a red team exercise, or a normal week. Sanitize it in the browser. See what a million detections find. If the answer is “nothing,” you have learned something. If the answer is an attack chain, you have a reason to look at the next rung.
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