Capable agents are easy. Trustworthy agents are the work.

Defense-in-depth runtime security. Sentinel sits in front of your LLM or agent the way a web application firewall sits in front of a web server — inspecting prompts, tool calls, reasoning steps, and inter-agent messages; blocking prompt injection, goal hijack, privilege abuse, and memory poisoning; and logging every decision to a tamper-evident, SHA-256 hash-chained audit trail. Eight independent layers cover all ten OWASP Top 10 for AI Agents risks. Deploy it with one base_url change — your agent code never changes.

Verified agentic reasoning. Axiom backs an agent's decisions with formal verification (Z3 SMT, Lean 4 + Mathlib), simulation (Cirq), and live IBM Quantum hardware execution — turning "the model is confident" into evidence-backed admission, dispatch gating, and escalation. It is the assurance layer beneath claims that have to hold up to scrutiny.

Trident composes Sentinel, Axiom, and Cyber-Shark into a single admission layer for agent-initiated infrastructure actions. Its premise: the same authorized action can be safe or unsafe depending on the live state of the target system. A node restart that's fine on a healthy cluster must be blocked when a peer is degraded, replication is behind, or a rebuild is active — and escalated when telemetry is stale. A prompt-injected tool substitution is stopped by Sentinel before infrastructure is ever evaluated. Trident doesn't replace your agent, sandbox, infrastructure platform, or monitoring — it decides whether the action is allowed to happen now.

A compact, local, agent-readable ledger (AGENT_LEDGER.md) that tells frontier coding agents which environment, commands, safety rules, and protected paths belong to a project — so they start a session with context instead of amnesia. It keeps execution isolated and shares only safe context: it does not merge your Conda environments, upload your files to a hosted service, or store secrets.