MalwareSentrix AI combines dynamic sandbox behavior, machine-learning classification, explainable AI and MITRE ATT&CK mapping to transform raw malware activity into actionable threat intelligence.
MalwareSentrix AI helps analysts understand what a sample did, why the model classified it as malicious and which behaviors matter most.
Import JSON reports from dynamic analysis platforms such as Cuckoo or CAPE for automated processing.
Extract API calls, dropped files, persistence indicators, DNS activity and other dynamic behaviors.
Use trained machine-learning models to classify samples as benign, suspicious or malicious.
Use SHAP-style feature importance to show which behaviors influenced each classification decision.
Map observed behaviors to adversary tactics and techniques for analyst-friendly threat context.
Generate human-readable reports for investigations, documentation and security review.
Present threat confidence gauges and behavior visualizations for rapid analyst decisions.
Process multiple sandbox reports efficiently to support malware triage and threat hunting.
Bring classification, evidence, explanations and ATT&CK context together in one investigation view.
Import sandbox JSON reports from dynamic analysis environments.
Identify APIs, files, persistence, DNS and other indicators.
Predict benign, suspicious or malicious behavior.
Generate feature importance and contextual explanations.
Map ATT&CK techniques and generate analyst-ready reports.
MalwareSentrix AI converts complex behavioral evidence into classifications that analysts can investigate and explain.
Low malicious confidence. Observed behavior aligns with expected or safe activity.
LOW RISKModerate malicious confidence. Behavior requires additional investigation or enrichment.
INVESTIGATEHigh malicious confidence. Strong behavioral evidence indicates a likely threat.
HIGH THREAT| Behavioral Feature | Observed Signal | AI Impact | Threat Context | ATT&CK Mapping |
|---|---|---|---|---|
| Persistence Indicators | Registry / startup modification | High | Maintains execution | Persistence |
| Dropped Files | Suspicious executable creation | High | Payload deployment | Execution |
| DNS Queries | Unusual external domains | High | Potential C2 | Command & Control |
| API Calls | Abnormal system interaction | Medium | Behavioral anomaly | Execution / Discovery |
| File Activity | Unexpected modification | Medium | Potential impact | Collection / Impact |
A scalable pipeline from isolated execution and behavioral evidence to AI classification and analyst-ready intelligence.
Enrich analysis with real-time external intelligence and malware reputation services.
Combine static and dynamic analysis for broader malware detection coverage.
Scale analysis for multi-user environments and enterprise threat operations.
Expand training datasets with emerging threats for adaptive detection.
Connect external enrichment sources for deeper investigation context.
Accelerate prioritization and analyst workflows for high-volume malware analysis.
For individual analysts
For security teams
For large organizations
Transform raw sandbox behavior into explainable, actionable intelligence with AI-powered malware analysis.
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