SYMOSIS
24/7 AI-ENGINEERED SECURITY OPERATIONS
Most MSSPs buy commercial tools, hire analysts, and forward alerts. Symosis builds the intelligence layer on top. Our security engineers have developed custom AI models for alert triage, behavioral correlation, and detection logic that run continuously inside CrowdStrike, Microsoft Sentinel, Splunk, and Rapid7. The result: our analysts spend their time on confir med threats, not noise. That's not a feature of the platforms. It's something we built.Backed by a fully staffed 24×7 global SOC operated entirely by Symosis analysts, no sub-contracted NOC, no offshore alert queue, our managed security practice delivers the coverage of an enterprise SOC with the engineering depth most organizations can't build internally.
The AI Intelligence Layer, What Other MSSPs Can't Replicate
Our competitors operate the same platforms you can buy directly, CrowdStrike, Sentinel, Splunk, Rapid7. The difference is what we've built on top of th em. Symosis security engineers build and maintain a custom AI intelligence layer that runs continuously inside your security stack. This isn't a product you can license from anyone else.
Custom AI Triage Models
We build and maintain machine learning models trained on your specific environment's behavioral baseline. These models classify alerts by confidence and severity before a human analyst ever sees them, eliminating the noise that makes most SOCs ineffective.
Behavioral Correlation Engine
Detection Engineering Velocity
When a new threat technique emerges, a novel CVE, a new ransomware TTP, Symosis engi neers ship a detection rule within hours, not weeks. That's the difference between having engineers in your SOC versus having operators.
Continuous Model Improvement
Our AI models improve with every engagement. Threat patterns observed across our client base inform detection improvements that benefit everyone we protect. Your security posture gets stronger over time.
Most MSSPs describe two steps: we detect something, we notify you. The step in between, how alerts are classified, correlated, and prioritized, is where the difference between effective and ineffective MDR lives.
A
Raw Ingestion
Telemetry flows in from all connected platfo rms, CrowdStrike, Sentinel, Splunk, Rapid7. Volume: thousands of events per hour in a typical enterprise.
B
AI Pre-Processing
Custom AI models filter known-safe behavioral patterns, score remaining alerts by true-positive likelihood, and correlate related events across data sources into unified threat narratives.
C
Analyst Review Queue
Analysts receive a curated queue of high-con fidence, correlated threat narratives, not a raw alert feed. Every item includes AI-generated context: what triggered it, what it correlates with, and recommended investigation steps.
D
Human Investigation & Response
Analysts investigate with full context. Confirmed threats trigger immediate response actions within pre-approved authorization levels.
E
Model Feedback Loop
Every analyst decision feeds back into the AI models. True positives reinforce detection patterns. False positives update noise-reduction models. The system continuously improves.