Resolve the context
Connect the task, acting identity, permissions, data policies and prior actions. Trace the scope passed between agents.
AckuityRequest access PLATFORM / AI AGENT SECURITY
Give your agents room to act. Keep control of what they do.
Ackuity verifies proposed actions against the intent, identity and history behind them. Your agents move work forward within the boundaries you set.
Early access. Already in paid production.
40–100 msContextual verification
IndependentOutside agent reasoning
Your environmentAcross connected runtimes
FROM INTENT TO EXECUTION
The execution security context graph.
Ackuity maintains a live execution security context graph per agent: intent, goals, plan, identity, permissions, data policies, delegation, business rules and action history, resolved before each action commits.
Verify the proposed action
Apply deterministic rules and contextual assessment before a tool call, data operation or delegated action executes.
Make the next step explicit
Allow work within policy. Hold actions that need review. Block actions outside the permitted boundaries.
NEUROSYMBOLIC VERIFICATION
Rules establish boundaries. Context gives them meaning.
Ackuity combines language models, outlier detectors, ML heuristics and deterministic rules. These methods work on shared security context to detect threats and policy violations in 40–100 ms.
The decision record connects the action, evidence and verdict so engineering and security teams can understand why it was allowed, held or blocked.
Explore the risks this addressesWHERE ACKUITY FITS
Too far, or too close.
A gateway sees its boundary. A harness runs the agent’s loop. Ackuity sits beside the agent, with independent verification before execution.
AI guardrails
Prompt and response checks do not establish whether an action belongs to the authorized task.
Ackuity verifies the action against the task that authorized it.AI and MCP gateways
Govern calls and traffic at their gateway boundary.
Ackuity verifies actions in context across connected tools and runtimes.AI observability
Records agent activity, traces and operational performance.
Ackuity turns telemetry into security context. Inline verification checks the next action before it runs.Agent harnesses and frameworks
Run the agent’s execution loop, coordinating tools and memory.
Ackuity verifies independently of that loop, outside the agent’s reasoning and control.We coexist with all four. Ackuity brings the action, its execution security context and an independent verdict together before it commits.
A PRACTICAL START
Begin with visibility. Add control where it matters.
Bring your runtime, telemetry and security priorities. We’ll identify where visibility and verification fit.
Request accessEXPLORE THE PLATFORM
See what execution trust means for your team.
YOUR QUESTIONS, ANSWERED
Before you take the next step.
What is an execution trust layer for AI agents?
An execution trust layer independently checks proposed agent actions against security context and policy before they run. Ackuity connects the action to intent, identity, permissions, delegation and history, then returns an allow, hold or block decision.
How is Ackuity different from AI observability?
AI observability records activity such as traces, tool calls, latency and errors. Ackuity uses available telemetry to interpret security posture and action context. With an inline integration, it also verifies proposed actions before execution. Read-only discovery observes recorded activity and does not block actions.
Does Ackuity replace an AI guardrail, gateway or agent harness?
No. Guardrails check prompts and responses. Gateways govern traffic at their boundaries. Harnesses coordinate the agent’s execution loop. Ackuity adds independent verification of actions in context before they run, using identity, policy and history across connected integrations.
How fast is verification?
Ackuity combines language models, outlier detectors, machine-learning heuristics and deterministic rules to detect threats and policy violations in 40–100 ms. Discuss your workload and integration with the team to assess performance in your environment.
Can we start without inline enforcement?
Yes. Begin with read-only event-pull discovery using existing telemetry. API and sidecar integrations are separate options for verification before execution.
NEXT STEP
Move from agent activity to agent trust.
Show us the actions you need to secure. We’ll help you identify the right starting point.