Initializing autonomous defense runtime…
handshake: edge ⇄ cloud ⇄ soc
Daifend secures AI memory, autonomous agents, and enterprise AI systems against manipulation and emerging AI-native threats. Our Action Firewall — shipping today — puts a deterministic, fail-closed gate on every tool call your agents make.
A deterministic proxy between your AI agents and the tools they call. Every action is policy-checked with zero LLM involvement, fail-closed against anything off-policy, and recorded in a tamper-evident audit trail — before it touches a real system.
Every agent tool call is evaluated against a declarative YAML policy. No LLM in the decision path — the same call always gets the same verdict.
Unknown tools, missing fields and malformed calls are denied by default. Confused-deputy attacks are blocked with explainable reasons.
Every verdict is appended to a SHA-256 hash-chained audit log. A single altered byte anywhere in history breaks verification.
Deploys between your agents and their tool APIs with per-call trace IDs — no changes to the agents themselves.
Daifend correlates AI-native signals across cloud, edge, and SOC pipelines to detect deception-aware agents, memory poisoning attempts, and cognitive cyber operations in motion.
Our platform vision, in active development: deception, memory integrity, self-healing runtime, supply chain trust scoring, cognitive defense, and autonomous threat intelligence — one immune system, anchored by the Action Firewall available today.
Manipulate and mislead malicious autonomous AI agents using synthetic infrastructure, fake attack surfaces, and adaptive cyber deception.
Detect hidden manipulation inside vector databases, embeddings, RAG pipelines, and long-term AI memory systems.
Autonomously isolate, repair, regenerate, and restore compromised AI systems in real time.
Continuously validate models, datasets, agents, plugins, prompts, and AI dependencies.
Detect psychological manipulation, deepfake persuasion, emotional coercion, and AI-generated social engineering attacks.
Continuously learn and adapt from global AI attack patterns using agentic intelligence systems.
Deploy across Azure, AWS, or hybrid environments. Daifend’s agent mesh correlates behavior, validates AI supply chains, and executes safe containment + restoration flows.
Daifend’s architecture supports compliance-heavy, high-assurance deployments with SOC oversight and auditable autonomy.
Protect mission-critical autonomous systems and classified AI workflows.
Stop cognitive fraud, model supply chain compromise, and autonomous intrusion.
Secure citizen services and AI decision infrastructure at scale.
Defend power, water, and industrial systems from agentic disruption.
Protect clinical AI, RAG medical copilots, and patient data from poisoning.
Secure connected vehicles, autonomy stacks, and OTA AI components.
Prevent AI-driven manipulation across sensing, traffic, and emergency systems.
Harden networks against autonomous exploitation and AI-native lateral movement.
Defend flight ops, logistics AI, and digital twins from deception warfare.
Traditional security is optimized for human adversaries and static infrastructure. Daifend is optimized for agentic attackers, adaptive deception warfare, and AI memory systems.
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.
See how Daifend detects, deceives, contains, and self-heals—turning adversarial autonomy into a controlled, auditable process.
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.