Initializing autonomous defense runtime…
handshake: edge ⇄ cloud ⇄ soc
Our research focuses on adversarial autonomy, AI memory integrity, cognitive manipulation, and self-healing defense systems for next-generation infrastructure.
We build foundational security primitives for AI memory systems, autonomous agents, and human cognitive interfaces.
Behavioral sequence modeling to classify evolving agentic malware.
Policy-bounded isolation and rollback under adversarial pressure.
Detect and neutralize persuasion, coercion, and deepfake manipulation.
Cross-tenant learning without leaking sensitive telemetry or data.
Prevent unsafe actions, poisoned outputs, and adversarial prompting chains.
Catch AI-generated personas and social-engineering infrastructure.
A roadmap from static defenses to AI-native trust, then to autonomous warfare defense. Daifend is building for the end-state.
Agentic adversaries operate at machine speed across supply chains. Daifend focuses on deception, memory integrity, cognitive defenses, and self-healing runtime to keep humans safe as autonomous threats escalate.
The next adversary is an autonomous agent. Daifend gives your organization a deception-first, self-healing defense system—built for AI memory, agent supply chains, and cognitive attack surfaces.