A pre-execution authorization gate for autonomous AI agents. Intercepts proposed actions at the MCP tools/call boundary, evaluates them, and returns ALLOW, ESCALATE, or BLOCK with a tamper-evident record — before the action executes.
Time is burning. Signals are incomplete. Something is about to be done that cannot be undone. An autonomous system — an agent, a pipeline, an AI-orchestrated action — is requesting permission to act. That moment is ours.
"Why was this action allowed?" That question, asked too late in too many post-incident reviews, is the reason AIQCYSY exists.
AIQCYSY intercepts proposed actions and evaluates whether they should execute — given the current system state, the action's potential impact, and the agent's operational context.
The evaluation is designed to complete within a sub-100ms target. Every decision produces a tamper-evident authorization record — hash-chained and append-only — suitable for operational review, executive scrutiny, or audit.
Integrates as a transparent MCP JSON-RPC proxy intercepting tools/call, or as a Claude Code PreToolUse hook. Model-agnostic — works with any agent runtime that speaks MCP.
Proposed autonomous action + current system state
Evaluate whether this specific action should execute at this moment, given the current operational reality. Context drift, scope granularity, multi-step compounding, and adversarial manipulation are all considered.
Evaluation against operational criteria. The verdict reflects whether the action is justified — not whether it matches a static rule.
Action is justified. Execute.
Human review required.
Justification insufficient. Denied.
AIQCYSY integrates at the action boundary. The agent's runtime, the model behind it, and the tools it calls do not need to change. The gate intercepts each proposed action, evaluates it, and returns its verdict before the action reaches its target.
MCP JSON-RPC proxy. Transparent interception of tools/call at the Model Context Protocol boundary. Drop-in for any agent runtime that speaks MCP.
Claude Code PreToolUse hook. Native integration for Claude Code agents — no proxy layer required.
Pipeline gate. Pre-execution checkpoint for autonomous remediation pipelines, MLOps deployment workflows, and multi-agent orchestration boundaries.
Only state-changing actions are gated. Read operations and observation calls pass through unaffected. The gate adds latency only to the actions that matter.
AIQCYSY's ALLOW / ESCALATE / BLOCK model maps directly to binding regulatory requirements across jurisdictions. These are not future possibilities — they are current mandates.
Access authorization determines whether an agent may interact with a resource. Action authorization determines whether a specific action should execute right now. The IETF's first AI agent authentication draft (March 2026) solves "Is this really Agent X?" but explicitly leaves unsolved "Should Agent X do this specific thing right now?" Every regulation below requires action authorization. No current standard provides it. AIQCYSY is built to.
AIQCYSY does one thing. It does not try to be everything. This constraint is the source of its reliability.
Before an autonomous IR agent escalates privileges, executes a remediation, or modifies critical infrastructure — AIQCYSY evaluates whether the action is justified by current system state.
When an AI agent's tool call targets a system, API, or dataset — AIQCYSY intercepts and gates the execution before it reaches the target. Access authorization says "may." Action authorization says "should."
Before an automated remediation pipeline deletes, modifies, or rebalances at scale — AIQCYSY confirms the action is justified given the current state of the affected systems.
Before a new model version, fine-tune, or modified prompt is deployed to production — AIQCYSY evaluates whether the transition preserves the system's behavioral envelope.
For multi-agent architectures where downstream agents act on upstream outputs — AIQCYSY provides the authorization gate between planning and execution.
Every AIQCYSY decision produces a timestamped, machine-readable authorization record. For organizations subject to AI governance requirements, this record is the audit trail.
Teams deploying agentic infrastructure who need an authorization gate before actions reach production systems.
SOC teams using AI-assisted or autonomous IR who need authorization records when the agent acts.
Risk and compliance leads responsible for demonstrating that AI systems cannot act without justification review.
Teams building frontier agents who need a runtime authorization layer as agent capabilities scale.
AIQCYSY is built from a career spent inside enterprise security — running vulnerability programs across Fortune 100 asset pools, leading CISO functions across healthcare, telecommunications, and financial market infrastructure.
The authorization gap AIQCYSY closes is not theoretical. It is a gap I watched form in production environments over the past several years, as autonomous agents began executing actions that no human reviewed and no standard required to be reviewed. Identity systems verified the agent. Policy engines approved the resource. Nothing evaluated the action itself.
AIQCYSY is the layer I needed and could not buy. It is now the layer I am building for the organizations that need it next.
The question is not whether your autonomous systems will take a consequential action. The question is: will you know whether it was justified before it happened?
Scope a single action boundary: one agent, one pipeline, one deployment gate
AIQCYSY deployed in advisory mode — no blocking, full record generation
Review authorization records with your team. Calibrate thresholds.
Production deployment with BLOCK enabled at agreed threshold