AI-native, not AI-adjacent
Models sit inside the work: scanning, explanation, evidence drafts. There is no chatbot taped to a dashboard as a feature announcement.
Dossier 00 · Company
CyberGuard is an AI-native cybersecurity ecosystem: protection, visibility, and governance as separate products — each complete, none pretending to be the others.
Models sit inside the work: scanning, explanation, evidence drafts. There is no chatbot taped to a dashboard as a feature announcement.
Vulnerability operations, air-gapped inventory, and GRC are different jobs. We built three products rather than one compromise that claims to be a platform.
Capability you can brief a board on. No fake user counts, no neon, no “all-in-one” that dissolves on contact with a real environment.
Find weaknesses in applications and networks, receive AI-guided fixes in plain language, and recover from automatic backups when something still gets through.
Read the briefing →On-premises discovery for controlled and air-gapped networks: what is on the wire, who approved it, and what changed since the last scan. No cloud dependency.
Read the briefing →Get audit-ready for SOC 2 and ISO/IEC 27001 and stay that way: live posture, hashed evidence, policy lifecycle, and signed release records. We do not issue certificates.
Read the briefing →Complementary instruments. Not one login, not one dashboard, not one contract that swallows the others.
Protect
Find, fix, recover.
See
Discover, govern, watch the wire.
Prove
Ready, evidence, release.
Correspondence
Vulnerability & Backup and GRC are waitlist products. Asset Inventory is a conversation — it ships into rooms without outbound internet.