Design-level security for the AI era.

AI systems can now discover zero-day vulnerabilities and write working exploits autonomously. The security that matters now is upstream: protocol architecture, cryptographic design, threat modeling, and formal verification. That is the work Symbolic Software has been doing since 2017, across more than 250 engagements for organizations including Mozilla, 1Password, Coinbase, and Zoom.

We audit at the level AI cannot reach—protocol architecture, cryptographic primitive selection, and threat model design. When we review code, we are evaluating whether the system was designed to be secure, not just whether the implementation has bugs.

• Protocol-level and cryptographic design review.
• Threat modeling that anticipates autonomous exploitation.
• Over 250 engagements with global platforms, wallets, VPNs, and authentication systems.

Formal verification tools, post-quantum implementations, and conformance testing frameworks—built for our own audit work and released as open source.

• Verifpal®: prove your protocol is correct by design, not just by testing.
• Crucible: conformance testing for post-quantum cryptography, encoding real bug classes from production audits.
• Noise Explorer: formal analysis and code generation for the Noise Protocol Framework.
• Kyber-K2SO: production-ready post-quantum key encapsulation in Go.

If AI is automating bug-finding, the scarce human skill becomes designing systems that are correct by construction. Our university course bridges modern cryptographic theory with real-world secure systems—covering provable security, TLS, secure messaging, post-quantum cryptography, and zero-knowledge proofs.

• 16 topics spanning provable security foundations and real-world cryptographic systems.
• Hands-on projects: build a password manager, secure messenger, or zero-knowledge game.
• Free for 50 students at Lebanese universities, summer 2026.
• All materials open source under Creative Commons licensing.