Take control of the agentic systems acting on your behalf
Lycid’s defense layers sit between your software and your AI to enforce security, performance and interpretability in high-stakes and regulated industries
Injected content can enter an agent’s context. By architecture, it cannot reach tool execution or influence a decision unobserved.
Our latency measures in microseconds. Defences can adapt to the environment and previous interactions.
Per-decision observability: which sources influenced which action, with what trust class and weight — measured, not assumed.
Capability-based policies are enforced before any action fires. Boundaries hold by structure, not by model judgement.
Probabilistic filters cannot guarantee protection. Lycid enforces security through a provenance graph — the record of which sources fed which action.
Every tool call, data dependency, and information flow is validated against a formal policy before execution.
Safety becomes a structural property of the system, not a best-effort heuristic.
Agent decisions are opaque by default. Lycid makes reasoning visible and structured.
Workflows become an explicit provenance graph: each node a tool call, transformation, or decision with tracked sources.
Inspect, audit, and constrain how an agent reasons before it acts with a verifiable formal structure.
The AI is never touching your data, you can use a frontier model but keep everything local
Every value carries capability tags, its sources and who may read it.
Policies like "customer data may not leave the org"*" are enforced as graph properties, before a tool call fires.
Every inter-agent message and MCP tool output enters the graph as an untrusted source.
Trust tags travel with messages, so classifications survive agent handoffs.
Policy gates fire on flows across the whole topology, not on string matching.
The AI thinks in logical languages that are concise and enforceable at generation, cutting both token budget and execution time.
The model that reads untrusted content can be small by design.
Plans are written once and executed deterministically. Security properties hold regardless of model size.
We are onboarding a small number of design partners in regulated EU sectors for audits and security assessments of production or pre-production agentic systems.