Predictive Alin AI 3.0.0
Release information
- Version: 3.0.0
- Release date: 23/03/2026
- Release type: Major
Predictive Alin AI 3.0.0 marks the General Access release of OPSWAT’s proprietary machine learning-driven malware detection engine, purpose-built for high-speed, pre-execution protection in modern, high-throughput environments.
What This Means for MetaDefender Customers?
- Predictive Alin AI is fully integrated into the MetaDefender platform and accessible across all products and environments, available in both cloud and on-premises environments, supporting Windows and Linux operating systems
- Predictive Alin AI operates in parallel to MetaScan to enhance detection coverage via machine learning algorithms enhanced by MetaDefender Aether’s dynamic analysis, for reduced false positives and zero-day detection
- Predictive Alin AI targets the primary malware entry points, with extensive support for executable formats and PDF files, where most modern threats originate.
How Is Predictive Alin AI Continuously Improving?
Predictive Alin AI has a documented Machine Learning pipeline lifecycle concept for transparency, including:
- Data ingestion and normalization controls (hashing, deduplication, validation)
- Labeling and enrichment through MetaDefender Aether using multi-source evidence (static characteristics, dynamic analysis context, consensus-oriented verdict context, and threat intelligence enrichment)
- Training, evaluation, and quality gating against false-positive benchmarks before promotion
- Continuous refresh and monitoring to adapt to malware evolution
Key Benefits of Predictive Alin AI
- Fast, pre-execution malware detection (P99 under 100ms) to enable allow, block, and quarantine decisions at scale.
- Faster scan times for high-volume workflows while improving accuracy and reducing false positives (0.1% False Positive Rate and over 90% accurcacy across the board)
- Extensive support for executable formats (PE, ELF, Mach-O) plus PDF for common document-borne threats.
- Available as a custom engine in MetaDefender Cloud and MetaDefender Core.
Next Steps to Upgrade:
Customers currently using MetaDefender products can add Predictive Alin AI to unlock high-speed, machine learning–based detection for pre-execution threats while retaining familiar multiscanning capabilities. To discuss upgrade options or transition planning, please contact your OPSWAT representative.
Predictive Alin AI reflects where we’re heading with pre-execution malware detection: faster decisions, better accuracy, and the ability to handle high-volume environments without added complexity.
Release Notes
Known considerations
- This is the first General Access release. Establish an initial operational baseline before tightening policy.
- Malicious naming outputs are standardized for policy integration and should be interpreted alongside the broader security context.
General Access release of Predictive Alin AI for customer-facing enterprise use.
Reputation integration to improve deflection decisions for known good and known bad files.
File type detection optimized for malware screening workflows across:
- Executables: PE, ELF, Mach-O
- Documents: PDF
File parsing for PE, ELF, Mach-O, and PDF to extract structural signals used as context for ML inference.
Integration availability:
- MetaDefender Cloud - Predictive Alin AI runs inline as part of the MetaScan package.
- MetaDefender Core - Predictive Alin AI runs inline as part of the MetaScan package on Linux and Windows.
Standardized engine verdict codes: Reference: https://www.opswat.com/docs/mdcloud/integrations/description-on-scan-result-codes
- 0 - No Threat Detected
- 1 - Infected: The file was analyzed and determined to be malicious.
- 10 - Not Scanned: The file was not analyzed (for example, due to size limits or an internal processing error).
- 23 - Unsupported File Format: The file type is not currently supported by the engine.
Threat detection naming convention for policy integration:
Format: <platform>/malicious_<threat_confidence>
Platform mapping:
- Windows - PE-based executables
- Linux - ELF-based binaries
- Darwin - Mach-O-based binaries
- Generic - non-platform-specific formats such as PDF
Examples:
- PE: Windows/malicious_99
- ELF: Unix/malicious_99
- Mach-O: MacOS/malicious_99
- PDF: Generic/malicious_99
Compatibility
- Platforms: Windows, Linux
- File types: PE, ELF, Mach-O, PDF
