Leidos Unveils HeadWay Dispatch for Cross-Vendor AI Agent Control

Leidos introduced HeadWay Dispatch on November 4, 2026, a governance platform designed to oversee AI agents from different vendors, set limits on their autonomy and preserve tamper-evident records of their decisions.

The platform is aimed at organizations whose agents span separate suppliers and systems. Its initial framework has three parts: Know identifies active agents and the systems they can reach; Control determines which actions can proceed independently, require approval or are prohibited; and Prove creates records that allow decisions to be reviewed afterward. The model wraps permissions and evidence around each agent instead of treating identity verification alone as sufficient authority to act.

Autonomy Set by Risk

An official HeadWay Dispatch factsheet explains how those controls are calibrated. Agents gain or lose autonomy based on task complexity, consequence severity and operational context, with each action assigned to one of four outcomes: block, confirm before acting, notify and proceed, or execute automatically. Low-risk, reversible work can therefore proceed without the same approval burden as a consequential action.

Flight Recorder handles the evidence side with tamper-evident reasoning provenance and a full chain of custody. A Kill Switch contains activity at tool boundaries regardless of cloud connectivity, while Circuit Breakers throttle battery, bandwidth and compute quotas to constrain runaway agents. Together, those features combine permissioning, interruption and auditability instead of relying solely on a person watching a dashboard.

Leidos’s October 9, 2026 explanation of its governance approach supplies the operating distinction behind that design. Human-in-the-loop review requires a person to approve every decision, while human-on-the-loop oversight monitors continuously and escalates selected actions. Architectural restrictions must underpin either model, applying behavioral limits before a person is asked to intervene. For high-volume operations, selective escalation offers a way to scale oversight without turning every action into another item in an approval queue.

Deployment and Operator Controls

Dispatch is delivered as a software license with implementation services and runs on infrastructure selected by the customer. Its modular design covers existing AI investments, custom-built agents and third-party task agents without requiring customers to replace their current technology. That delivery model is the practical basis for the vendor-neutral approach: safeguards sit around a mix of agents while the underlying systems remain in place.

Password and API-key requests are routed through Dispatch, so agents do not need to store those credentials directly. Leidos says this reduces the risk of credential theft by malicious actors. Operators receive a unified view of activity, approvals and alerts, allowing them to act without switching between tools.

Development Work and Federal Policy

Two additional capabilities remain in development: Experience would tailor operator interfaces to roles and mission needs, and Intelligence would coordinate agents from different vendors under common policies. Leidos is also extending Dispatch so its controls continue when network connections degrade or disappear. Related factsheet concepts, including role-adaptive interfaces, cross-vendor coordination and local authority with reconciliation after reconnection, remain part of that development agenda.

Leidos also says Dispatch can assist federal agencies in addressing two Office of Management and Budget memoranda issued April 3, 2025. M-25-21, which covers federal AI use, defines high-impact AI through outputs that serve as a principal basis for decisions or actions with legal, material, binding or significant effects. For those uses, it requires ongoing monitoring, periodic operator training and assessment, human oversight, intervention and accountability, plus an appropriate fail-safe where practicable. Those obligations provide a policy counterpart to Dispatch’s approval thresholds, consolidated operator view, intervention controls and audit trail.

The companion M-25-22 acquisition memorandum addresses purchasing. It calls for protections against vendor lock-in, including knowledge transfer, clear data and model portability, and transparent licensing and pricing. It also requires contract terms that allow agencies to monitor and evaluate performance, risks and effectiveness on an ongoing basis. Dispatch’s customer-selected infrastructure and support for agents from multiple suppliers connect the product design to that portability and competition agenda.

Both memoranda exclude AI used as a component of a National Security System. M-25-22’s requirements do not apply to Intelligence Community elements, and M-25-21’s minimum risk-management practices for high-impact AI carry the same exclusion. That limits how broadly the OMB comparison extends across national-security and intelligence deployments.

The launch is ultimately about placing a governance boundary around agents an organization already operates: what they may do, when they must stop for approval and how their decisions can be reconstructed. That makes coexistence with installed agents the link between Dispatch’s technical design and Leidos’s federal procurement argument, while the wider orchestration vision still depends on capabilities that remain in development.