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THE EXECUTION TRUST LAYER FOR AI AGENTS

Verify agent actions before execution.With deep security context.

An agent’s worst case is not a wrong answer. It is an irreversible action.

Ackuity sits beside the agent and verifies every action against the intent, identity, permissions and history behind it, before it runs.

Request access See verification in action

NVIDIA Inception member

NVIDIA Inception program

Context inputs

Ackuity · Execution Trust

Actions

EXISTING CONTROLS

Agent intends to act. Full context resolves. Ackuity verifies. Action proceeds. Companion controls coexist with Ackuity.Who initiated the action.What they are allowed to do.Why the agent is acting.What the agent intends to do next.What led to this action.Which agent delegated authority.The agent intends to act. Each action passes through Ackuity before execution.Full context resolves. Ackuity verifies. The action proceeds.Verify tool use before execution.Verify the request before it leaves the agent.Verify MCP access in full context.Verify data access before the query runs.Verify authority before delegation.Protect model input and output. Ackuity verifies actions.Coordinates agent behavior. Ackuity verifies execution.Secure connections. Ackuity verifies why the call should happen.Identity informs execution. Ackuity does not replace IAM.Protects sensitive data. Ackuity applies that context at execution.Receives security telemetry. Ackuity creates the execution record.

CUSTOMERS & TRACTION

Paying customers.
Competitive wins.

Early access. Revenue in production. Chosen over incumbent security vendors in head-to-head enterprise evaluations.

Paying

Customers in production

Revenue from live deployment inside a global systems integrator’s agent platform.

3

Incumbents beaten

Won head-to-head evaluations against established security vendors.

2

Tier-1 banks

Beta deployments in enterprise environments.

7

Global SIs & consultancies

Engagements spanning production, pilot and proof of value.

FOUR CASES

Where agents drift from intent.

Guardrails may pass the prompt.
Ackuity stops the action at execution time, with full context.

  • Same prompt, different outcome

    The prompt can be safe. Actions can still be risky.

  • See the full sequence

    Ackuity analyzes actions, context, and history across the session.

  • Stop attacks at execution time

    Hold or block risky actions before they complete.

CASE 01 · Action chain exploitation

Every call legitimate. The sequence is the attack.

What the guardrail read

“Pull the Q3 vendor list, check which contracts renew this month, and prep the renewal summaries for finance.”
PASSED

No injection. No sensitive data in the prompt. Nothing to flag.

Where agent actions became threats

Action sequence · Ackuity security verdicts

  1. db.read vendors.q3ALLOWED
  2. db.read contracts.renewalsALLOWED
  3. iam.role.assume finance-adminHELD
  4. api.post payments.batchBLOCKED
  5. email.send cfo@ "renewals done"BLOCKED

A gateway allows all five. Each call is in scope on its own.

Ackuity holds the third. A support agent assuming finance-admin does not match its intent or its history.

01 / 04

Illustrative scenarios, not customer execution records. Guardrail coverage varies by implementation.

02 / WHY ACKUITY

Deep security context.
Independent verification.

Understand the action. Verify it before execution. Across your agent stack.

A live execution security context graphIdentity, intent, permissions, history, delegation and data policies connect around each proposed action. Green signals travel through the graph to independent verification.IdentityIntent & goalsPermissionsHistoryDelegationData policiesEvery action, in context
01 / BEGIN WITH CONTEXT

The execution security context graph

Security context beyond the gateway boundary.

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.

Four verification methods, one contextual decisionLanguage models, outlier detectors, machine-learning heuristics and deterministic rules converge on the Ackuity verifier. Each action receives an allow, hold or block decision in 40 to 100 milliseconds.Language modelsOutlier detectorsML heuristicsDeterministic rules40–100 msAllowHoldBlock
02 / VERIFY IN CONTEXT

Neurosymbolic verification

Go beyond prompt and PII security.

Combine language models, outlier detectors, machine-learning heuristics and deterministic rules for more accurate detection of threats and policy violations in 40–100 milliseconds.

Independent verification, close to the agentThe agent stands at the center of a layered platform. The Ackuity icon orbits closely around it, outside the agent itself. Tool, MCP, LLM and API gateways remain stationary at the perimeter.Tool gatewayMCP gatewayLLM guardrailsAPI gatewayAgentClose to the agent. Outside its reasoning.
03 / THE EXECUTION BOUNDARY

The Goldilocks zone

Beside the agent. Before the action.

Close to the agent, outside its reasoning. Ackuity connects the action to its task context across gateway boundaries. Close enough to intervene. Outside the agent’s control.

One control plane across different agent stacksThe Ackuity icon anchors one continuous verification plane across three agents. Each agent uses a different illustrative combination of model, framework and deployment environment.OpenAILangGraphAWSClaudeCustom agentsAzureLlamaLangChainOn-premisesOne control planeEvery agent stack
04 / MODEL & PLATFORM INDEPENDENT

One control plane, every runtime

Keep your choice of models, platforms and infrastructure.

Your agents span models, frameworks and environments. Ackuity brings shared security policy and execution context across connected runtimes, deployed inside your own environment.

Explore how it works

03 / FROM VISIBILITY TO CONTROL

Start with what
you need to see.

AI teams understand their agents. Security teams set the boundaries.

01

Observe

Read the telemetry you already collect. Explore agent actions, connections and posture.

EVENT PULL / READ-ONLY
02

Verify

Evaluate proposed actions against policy and context before they execute.

SIDECAR OR API INTEGRATION
03

Control

Allow permitted work. Hold actions that require review. Block actions outside policy.

INLINE ENFORCEMENT

The design partner discovery is read-only. It reports findings; it does not block your agents.

Request access Start with visibility. Discuss the controls you need.

YOUR NEXT STEP

See what your agents are doing.
Read-only. No fee.

Tell us where your agents run. We connect to the telemetry you already have and report what they actually did. You keep the findings.

✓ Read-only to start✓ Direct line to the founders
See what discovery delivers

Design partner discovery: read-only, no fee, findings you keep.

Tell us about your agents.

Add a little context Optional

We’ll use your details to respond to your request.

05 / FIELD NOTES

Depth beyond
the demo.

All resources
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