Executive Summary
VMRay strengthens the AI-enabled SOC by delivering high-fidelity, fact-based threat intelligence that powers accurate, explainable, and actionable AI outcomes.
- Better AI decisions: High-quality sandbox & TI data for training and enrichment.
- Explainable alerts: Human-readable evidence grounds AI in reality.
- Smarter triage: Verdicts and risk scores prioritize the right cases.
- Faster investigations: Structured output accelerates IR and forensics workflows.
Result: Fewer false positives, faster triage, and measurable SOC efficiency gains
Fueling the AI-Enabled SOC with High-Fidelity Threat Intelligence
Everyone’s talking about the “AI-powered SOC.” Vendors promise revolutionary outcomes through machine learning, LLMs, and automated playbooks. But here’s the reality: AI is only as good as the data it is trained on and operates on. Without accurate, timely, and well-labeled threat intelligence, even the most advanced algorithms will produce noise instead of insight.
At VMRay, we help AI-enabled SOCs achieve their full potential — not by claiming to be the AI SOC — but by delivering the high-fidelity threat and behavior data that powers them.
From Raw Alerts to Actionable Intelligence
An AI model can’t make great decisions if it’s fed incomplete or low-quality data. That’s where VMRay comes in:
- VMRay Sandbox detonates suspicious files, URLs, and emails in a fully automated environment, producing structured, machine-readable evidence — including MITRE ATT&CK mappings, behavioral traces, IOCs, and risk scores.
- VMRay Threat Intelligence Feed enriches these findings with deduplicated IOCs, campaign linkages, geo-context, prevalence data, and more.
The result: AI-driven detection, triage, and investigation pipelines get a fact-based foundation for making decisions.
Four Ways We Enable the AI-Driven SOC
- High-Quality Data for AI Models
Our sandbox and TI feed become the training and enrichment data for SOC AI systems:
- Training phase: Improve model accuracy from day one with labeled, trustworthy datasets.
- Operational phase: Continuously enrich detection pipelines with fresh, relevant intelligence.
Grounding & Explainability
One challenge of AI in security is the “black box” problem. SOC analysts need to trust why an alert was escalated.
- Our sandbox produces human-readable evidence that supports AI decisions.
- Our TI feed grounds LLM-based analyst assistants in factual, verifiable intelligence, helping avoid hallucinations and misdirection.
Smarter Triage & Prioritization
With our verdicts, severity scores, and TI risk context, AI systems can:
- Re-rank alerts based on real threat likelihood.
- Direct analyst attention to the most urgent cases.
- Reduce alert fatigue by filtering false positives before they hit the queue.
Accelerating Incident Response & Forensics
Structured sandbox output plus TI enrichment can:
- Automatically build investigation timelines.
- Trigger the right playbooks in SOAR systems.
- Allow AI co-pilots to summarize complex investigations, freeing analysts for higher-value work.
The Measurable Difference
When our data feeds into AI-enabled SOC workflows, the results are clear:
- Lower false-positive rates and improved detection precision.
- Faster triage times, freeing analysts to focus on real threats.
- Better-scoped incidents with richer context, reducing investigation cycles.
We back this up with before/after metrics from customers and pilots, including deduplication rates, ATT&CK mapping accuracy, and coverage of emerging threats.
Why This Matters Now
As SOCs adopt AI and machine learning, the competitive edge will belong to those with the cleanest, most reliable threat intelligence pipeline. Without it, AI may scale noise faster than insight.
VMRay ensures your AI-enabled SOC starts with a fact-based foundation — so every model, playbook, and analyst-assist tool works with clarity, context, and confidence.
Ready to make your SOC’s AI sharper, faster, and more trustworthy?
Contact us to learn more or start a pilot.
