SOLUTIONS
The moments that matter most.
Each solution follows the same path: trigger, risk, ActTrident decision, outcome and evidence.
CATEGORY
Endpoint antivirus
Secure enterprise browsers
Awareness training platforms
ActTrident™
Control point
Files and processes
Browser sessions
Human knowledge
The consequential action — human and AI
AI-agent & MCP action governance
—
Limited
—
Yes — before execution
Decision before impact
Detects after
Partial
No
Confirm, redact, step-up or block pre-impact
Cryptographic evidence of decisions
—
—
Completion records
Signed receipts for action, decision and outcome
Proves behaviour change
—
—
Attendance only
Aggregate before/after action evidence
Works across browser, endpoint, MCP, API
Endpoint only
Browser only
—
Yes
Stop sensitive data before it reaches public AI
Trigger — Evaluate the content, destination and policy before submission.
Risk — Confidential information is pasted or uploaded to an unsafe AI destination.
Outcome — Redact, confirm or block before the data leaves.
Prevent deceptive links and over-broad OAuth consent
Trigger — Evaluate destination, application, requested scope and authority at the point of consent.
Risk — Users are directed to deceptive destinations or asked to grant unsafe permissions.
Outcome — Prevent unsafe access before the grant completes.
Verify supplier and payment changes before money moves
Trigger — Check authority and require confirmation or step-up approval.
Risk — Bank details or payment instructions change without sufficient independent verification.
Outcome — Reduce payment-change and invoice-fraud exposure.
Govern MCP and AI-agent tool calls before execution
Trigger — Evaluate the exact action, target, authority and context before execution.
Risk — An agent attempts a tool call beyond its purpose, authority or policy.
Outcome — Proceed, supervise, step up or stop the action.
Control autonomous refunds, payments and high-impact actions
Trigger — Bind the action to authority, policy and human approval requirements.
Risk — An agent initiates a financially consequential action without sufficient approval.
Outcome — Preserve speed without removing accountability.
Bound remote-support authority
Trigger — Evaluate the requested action against the approved support authority.
Risk — A remote-support session requests elevated or out-of-purpose access.
Outcome — Keep privileged activity within a defined boundary.
Prove whether security behaviour actually changes
Trigger — Compare aggregate action evidence before and after an intervention.
Risk — Training completion does not show whether real behaviour improved.
Outcome — Demonstrate meaningful behaviour change rather than attendance.
Control AI token spend, route risk and quality
Trigger — Evaluate cost, quality, risk and policy across available routes.
Risk — AI usage becomes expensive, opaque or poorly governed.
Outcome — Improve AI economics without reducing assurance.
Preserve governed digital-worker continuity
Trigger — Preserve governed continuity across execution environments.
Risk — State, authority and approval context are lost when a digital worker changes runtime or provider.
Outcome — Maintain control without restarting the work from zero.
Turn obligations into runtime control
Trigger — Translate obligations into inspectable controls at the point of action.
Risk — Regulated actions can bypass policy at execution time.
Outcome — Close compliance evidence gaps where consequential work happens.