Team Clarity, Inc., operating as Iron Gorilla, today announced the general availability of its runtime enforcement platform for autonomous AI agents in enterprise and government environments. The platform evaluates every agent action against organizational policy and a dynamic trust score in real time — before any action executes — giving regulated organizations a technically enforceable path from AI experimentation to production-scale deployment.
As organizations move beyond supervised AI tools toward autonomous agents capable of processing financial transactions, accessing sensitive data, and interacting with external systems without human review of each step, the limitations of conventional AI governance have become acute. Most existing approaches — periodic audits, policy documents, or lightweight reviews conducted after an action has already occurred — were designed for environments where humans supervise every decision. At the speed and volume at which autonomous agents operate, those approaches cannot catch violations before consequences materialize.
Iron Gorilla addresses this gap by sitting directly in the execution path between AI agents and the systems, data, and tools they interact with. Before any action is permitted to run, the platform evaluates it against the organization's policy hierarchy and computes a trust score derived from more than 50 proprietary variables, including the agent's behavioral history, consistency within policy bounds, and alignment with defined mission objectives. Actions that meet the threshold proceed; those that do not are blocked or escalated for human review. As agents demonstrate sustained, policy-aligned performance over time, their trust scores rise — incrementally extending operational autonomy while maintaining the predictability and oversight that regulated environments require.
"The models are ready and capable. The infrastructure that lets enterprises and governments use them safely, on their own terms, and with their own data is not," said Jacob Hartmann, Co-Founder and CEO. "Most of what passes for AI governance today is a logbook — a record of what already happened. We built the enforcement layer that intervenes before anything executes, and a trust-scoring system that earns agents greater independence the more they prove themselves within policy."
The platform is available as a managed deployment on Iron Gorilla's secure cloud infrastructure or as an on-premises installation for organizations with stringent data residency and compliance requirements. Iron Gorilla is now generally available to enterprise and public-sector organizations across the United States, with initial deployments underway in financial services, healthcare, government, and professional services.
Defense and national security applications are central to the company's mission. Iron Gorilla is designed for demanding public-sector environments and is actively competing for multiple U.S. Department of War programs in which governed, auditable autonomy is an explicit mission requirement.
The company is led by Co-Founder and CEO Jacob Hartmann alongside a senior team whose collective experience spans enterprise software, large-scale go-to-market execution, regulated-environment engineering across CJIS, HIPAA, FedRAMP High, SOC 2, GDPR, and FINRA standards, NSF-funded security operations centers, and production AI deployment dating to the earliest commercial large language model programs across financial services, government, public safety, and manufacturing.
About Iron Gorilla
Iron Gorilla is the foundational AI runtime governance and enforcement platform from Team Clarity, Inc. (d/b/a Iron Gorilla). The platform delivers real-time policy enforcement, dynamic trust scoring, and secure mediation for autonomous AI agents in regulated enterprise and government environments — embedded at the execution layer rather than applied after the fact.
Learn more at IronGorilla.ai
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Company Name: Iron Gorilla
Contact Person: Jacob Hartmann
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Country: United States
Website: https://irongorilla.ai
