AI Governance at Speed: Leidos & Trustible Tackle Federal Red Tape

ARLINGTON, Va. – February 04, 2026 – Defense and technology giant Leidos has partnered with AI governance startup Trustible in a joint initiative aimed at dismantling one of the biggest barriers to artificial intelligence adoption in the federal government: bureaucratic delay. The companies announced a collaboration that leverages automation to drastically shorten the AI governance process, claiming to compress review and approval timelines from weeks or months into a matter of hours, and in some cases, minutes.

This move directly addresses a core tension within the U.S. government, which is under federal directives to both accelerate AI adoption for national advantage and simultaneously ensure its deployment is safe, ethical, and rigorously controlled. By automating the guardrails for AI, Leidos and Trustible are betting they can turn governance from a brake on innovation into an accelerator.

Slashing the Governance Bottleneck

For years, the path to deploying a new AI system within a regulated environment like the federal government has been notoriously slow. Industry data highlights the challenge: a 2025 benchmark report revealed that many organizations take between six and eighteen months to move a single generative AI project from initial intake to full production. This glacial pace is often attributed to manual, complex, and resource-intensive governance processes.

"AI governance needs to play a different role in mission delivery," said Geoff Schaefer, vice president of AI strategy and governance at Leidos. "It must control risk while simultaneously removing friction."

In a proof-of-concept, the partnership demonstrated its potential by using Trustible's platform to automate the initial intake and review stages. The result was a dramatic reduction in processing time, validating the idea that automation can streamline workflows without sacrificing rigor. This is critical for government agencies striving to comply with frameworks like the NIST AI Risk Management Framework (AI RMF) and the Department of Defense’s AI Acceleration Strategy, both of which call for rapid, responsible technological advancement.

By automating compliance checks and risk assessments, the joint solution allows agencies to move more efficiently from policy to practice, enabling oversight bodies to focus on mission outcomes rather than procedural checklists.

Building Trust in High-Stakes Missions

While speed is a key selling point, the partnership places equal emphasis on trust and accountability—non-negotiable elements in the high-stakes sectors Leidos serves, including defense, intelligence, and homeland security. AI governance provides the essential guardrails that ensure systems are transparent, aligned with legal and ethical standards, and ready for mission-critical use.

The growing urgency for such solutions is reflected in the market itself. The global AI governance market is projected to surge from under $1 billion in 2024 to nearly $6 billion by 2029, driven by an explosion in AI capabilities and a corresponding rise in regulatory pressure.

Leidos, a company with decades of experience deploying AI in sensitive national missions, is integrating Trustible’s platform into its own enterprise governance structure. This move signals a deep commitment to delivering AI systems that are secure-by-design and accountable at scale. The collaboration aims to create a scalable model that can be applied across the vast spectrum of government operations, from civilian agency logistics to complex military decision support.

The Dawn of Agentic Governance

The timing of this initiative is particularly significant as the industry shifts toward more advanced and autonomous AI systems. Leidos has been vocal about its focus on developing "agentic capabilities"—AI systems designed with a degree of autonomy to help human operators perform tasks better and faster. This strategy includes recent partnerships with companies like OpenAI and Moveworks to bring these advanced digital assistants to federal customers.

However, managing these more autonomous systems presents a new and complex governance challenge that manual, after-the-fact reviews cannot meet. The partnership with Trustible is designed to provide an answer by embedding governance directly into the AI workflow from the very beginning.

"AI governance can't be a manual, after-the-fact process—especially as agencies begin to adopt more autonomous and agentic systems," explained Gerald Kierce, co-founder and CEO of Trustible. "Working with Leidos, we're using automation to streamline governance from the start—reducing friction, strengthening control, and helping agencies deploy AI faster while maintaining the oversight and risk management their missions demand."

A Crowded Field and a Critical Need

Leidos and Trustible are entering a competitive and rapidly expanding market. They join established players like IBM with its watsonx.governance platform and specialists such as Credo AI, ModelOp, and Monitaur, all vying to provide solutions for the complex web of AI compliance and risk management. This competitive landscape underscores the universal need for effective governance as AI becomes foundational infrastructure rather than a niche experiment.

However, technology alone is not a panacea. Industry analysis consistently points to significant organizational hurdles in implementing AI governance, including a lack of clear ownership, insufficient internal expertise, and limited resources. The success of automated platforms like Trustible's will depend not only on their technical capabilities but also on their ability to integrate smoothly into complex organizational cultures.

The Leidos-Trustible initiative represents a significant step toward solving the AI paradox facing the government: how to move fast without breaking things. By automating the very processes designed to ensure safety and compliance, the partnership aims to create a future where responsible AI deployment can finally keep pace with the speed of innovation.