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.
Three fundamental trade-offs that guarantee defender defeat
Zero-day detection. Verifiable intelligence. Threat attribution.
Real intelligence reports demonstrating genetic analysis and threat attribution
Obfuscation—once the attacker's ultimate defense—now triggers detection. Semantic analysis sees through protection to architectural intent. Heavy packing, encryption, anti-analysis—all become suspicion signals. The technique that guaranteed decades of evasion now guarantees investigation. Complexity favors defenders.
Every attack—successful or failed—becomes training data. Defenders generalize automatically; detection patterns expand continuously. Attackers must manually pioneer novel architectures for each campaign. Automation compounds learning. Manual innovation compounds costs. In wars of attrition, automation always wins.
For thirty years, attackers developed once and deployed infinitely. Semantic detection kills architectural reuse. Commodity MaaS collapses (99% volume reduction). Sophisticated groups face 10-100x cost increases per campaign. Even nation-states must redesign tools for each target—operational tempo collapses, discovery risk compounds.
The universal principle: reuse becomes impossible at every tier. Where development once scaled across hundreds of deployments, attackers now fund novel architecture per engagement.
The paradigm has inverted. Offense loses.
AI-native detection without signatures or network dependency. The SDK delivers zero-day protection through architectural pattern recognition—no cloud connection, no compromise. Complete threat intelligence in every air-gapped deployment.
Transparency through verifiable architecture. As the sole network component, every byte transmitted passes through open-source code you can audit, fork, and independently verify. Deterministic payload generation enables cryptographic validation.
Threat ecosystem mapping without file exposure. Intelligence analyzes a compact, non-reconstructible architectural fingerprint to position samples within the global malware landscape, delivering family attribution, campaign links, and verifiable geometric similarity.
Malware scanning is always free and unlimited on Linux.
Intelligence API tiers provide cloud-based threat analysis and attribution.
Free Scanning: The SemanticsAV SDK provides unlimited offline malware detection at zero cost on Linux. All tiers include this capability. The quotas above apply only to Intelligence API usage for cloud-based threat analysis.
* Intelligence API quota for Free tier is limited to personal, academic, and research use only. Commercial service delivery requires Pro tier or higher.
** Build customer-facing services incorporating Intelligence analysis (all platforms).
Advanced malware detection remains locked behind commercial licensing, creating a security divide. Well-funded organizations deploy sophisticated AI-driven defenses while Linux environments rely on decades-old signature-based approaches.
The SemanticsAV SDK is free for commercial use on Linux. Security teams, researchers, and the open-source community can now access the same AI-native detection technology without enterprise pricing.
Linux powers the world's most critical systems. We believe they deserve more than signature-based protection.
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.