AI-native analysis that understands what code means—
revealing threat DNA, family lineage, and campaign relationships
the instant you scan.
Every binary has DNA. We decode it.
Every existing approach forces you to choose which fundamental limitation to accept
Analyzes what code is at the design level—its functional DNA and architectural blueprint—not what it appears or does in controlled environments.
The AI doesn't deliver inscrutable verdicts. It produces verifiable evidence: a genetic comparison matrix showing target DNA against closest relatives from intelligence database.
Heavy obfuscation and anti-analysis structures create unique high-dimensional patterns. For semantic AI, hiding is a signal, not an obstacle.
Analyst receives deterministic, data-driven outputs. Attacker faces unpredictable AI whose logic cannot be reverse-engineered.
Every attack becomes training data. Syntactic modifications fail. Evasion now requires fundamental semantic re-architecture—exponentially harder.
Ultra-lightweight AI engine delivering production-grade verdicts without network dependency. Complete analysis happens on-device—no cloud required during scanning.
Open-source interface handling all network communication. Audit exactly what data leaves your system—architectural proof of privacy, not promises.
Optional real-time threat attribution and genetic positioning. Transforms verdicts into actionable forensics—family identification, campaign attribution, similarity clustering.
Packing (Themida, UPX, custom) and encryption become evidence rather than obstacles—semantic patterns persist through any transformation.
Understand where samples cluster in malware landscape. Identify family relationships, campaign attribution, and evolutionary patterns.
No signature database required. AI-native understanding detects threats never seen before based on semantic characteristics.
Same file always produces identical analysis payload. Enables independent verification of privacy guarantees through open-source code.
Full detection capability with zero network dependency. Intelligence API completely optional—offline operation is first-class.
Daemon mode, REST/Unix socket APIs, multi-format output (JSON, HTML, Markdown). Built for enterprise integration.
The SDK remains free for all commercial uses on Linux.
Intelligence API tiers scale from personal research to enterprise distribution.
* Personal, academic, and research use only. Commercial service delivery requires Pro tier or higher.
** Windows, macOS, and other platforms require Enterprise licensing. Build customer-facing services that incorporate and redistribute Intelligence analysis.
Traditional enterprise-grade malware detection remains locked behind commercial licensing, creating a security divide. Well-funded organizations deploy sophisticated AI-driven defenses while open-source projects and Linux-native environments rely on decades-old signature-based approaches.
By making the SemanticsAV SDK freely available on Linux for all commercial uses, we enable security teams, researchers, and the open-source community to deploy the same AI-native detection technology that protects enterprise environments—without licensing barriers.
Ship with zero-day detection capabilities built-in, making semantic analysis a standard component of system security rather than an expensive add-on.
Integrate production-grade AI detection into security tools, research platforms, and defensive systems without concerns about licensing costs or restrictions.
Deliver AI-powered protection to underserved markets and enable new business models around advanced threat detection capabilities.
We believe security technology evolves fastest when foundational tools are accessible. Commercial licensing for cross-platform deployment and premium Intelligence services sustains innovation while keeping Linux deployments perpetually free.