Threat Detection
OPSWAT Alin
Detect and prevent threats before execution with OPSWAT’s next-generation static AI engine—optimized for accuracy and seamless integration across the MetaDefender Platform.
- AI Prediction Before Execution
- Reduce False Positives
- Millisecond-Level Scan Performance
See Threats Coming Before They Happen
OPSWAT Alin provides AI-predictive threat detection that forecasts the outcome before the execution — directly inside MetaDefender workflows.
By combining deep file-structure analysis with a domain-adapted ML (machine learning) model trained specifically on zero-day threats, AI-Predictive Threat Detection stops risky files at the perimeter without detonation, emulation, or runtime monitoring.
Accelerate Threat Detection
Deliver millisecond-level scan times with minimal resource impact
Improve Accuracy
Achieve higher detection rates and lower false positives
Operate Anywhere
Run online or offline with the same performance reliability
Optimize Resource Efficiency
Maintain a small memory footprint across deployments
Integrate Seamlessly
Available across the MetaDefender Platform and OPSWAT products
Technology Overview
| False Positives | Industry-leading precision with 0.1% false positive rate – keeping your security operations free from alert fatigue |
| Speed | Blazing-fast analysis with P95 latency under 100 milliseconds per file – built for real-time threat detection at scale |
| Memory Footprint | Lightweight by design – under 2 GB RAM enables high-throughput scanning without straining infrastructure |
| Scalability | Horizontally scalable via MetaDefender Core and Cloud |
| Learning Loop | Continuously refined through MetaDefender Aether and OPSWAT's proprietary threat intelligence ecosystem |
Key Features
Explore the key features that make OPSWAT Alin fast, scalable, and smarter — built to enhance enterprise security beyond traditional antivirus.
Optimized for Enterprise Content Flows
Our ML-based engine is trained on curated, privacy-safe datasets that replicate enterprise file movement patterns. This ensures high detection accuracy for enterprise data flows.
Complements Multiscanning
Adds a predictive intelligence layer that identifies subtle malicious indicators — patterns traditional AV engines might miss — making Multiscanning even more powerful.
Retraining Feedback Loop
Constantly refines detection models through correlated feedback from OPSWAT’s MetaDefender Aether, Threat Intelligence, and Unit 515.
Lightning Fast
Delivers sub-100 ms inference for 95% of files — ideal for large-scale enterprise workloads that demand speed and precision.
Lightweight and Scalable
Small (< 2 GB RAM) memory footprint allows deployment in resource-constrained environments and scales easily via MetaDefender Core or Cloud to match traffic growth.
Low False Positive Rate
Designed to minimize noise by minimizing false positives, OPSWAT Alin maintains consistency with OPSWAT’s top-tier Multiscanning standards.
Trained to Predict.
Designed to Prevent.
OPSWAT's domain-adapted ML model is trained to understand files, not text:
- Learns from millions of clean and malicious samples.
- Correlates structure, entropy, and semantic patterns.
- Continuously retrains through feedback from OPSWAT’s MetaDefender Aether, Threat Intelligence, and Unit 515 red team.
Integrates Across the MetaDefender Ecosystem
Available through MetaDefender Core and MetaDefender Cloud, enabling seamless integration across OPSWAT’s portfolio. Any OPSWAT product integrated with MetaDefender Core or Cloud can activate the OPSWAT Alin AI-predictive threat detection engine.
Coming SoonMetaDefender Email Security Cloud
Core / Cloud
- Available
REST / API Access
Core & Cloud Endpoints
Deployment Options
Flexible deployment options for any environment — available on-premise via MetaDefender Core or in the cloud through MetaDefender Cloud.
On-Premise Deployment
Via MetaDefender Core for Windows (custom engine) and MetaDefender Core for Linux (custom engine).
Cloud Deployment
Via MetaDefender Cloud (custom engine).
