The trade’s first proactive agent motion enforcement engine delivers deterministic run-time authority in your agentic workflows.
LangGuard immediately introduced the final availability of LangGuard Arbiter© on the Databricks Knowledge and AI Summit for deterministic enforcement of agent actions. Earlier this yr, LangGuard launched GRAIL Knowledge FabricTM to offer enterprises deep visibility into each motion brokers take. Introducing LangGuard Arbiter© that delivers the deterministic coverage management over each agent motion earlier than it acts.
Each enterprise is simply days away from an agent incident they will’t clarify to their board. LangGuard Arbiter© supplies the deterministic say enforced on the motion floor, evidenced robotically”
— Venkat Raghavan, Co-Founder, LangGuard Inc.
In April 2026, an agent deleted a buyer database in 9 seconds after reasoning its well past a credential mismatch to a harmful API name. The agent had permission to entry the system. No human was requested. No authorization existed for that particular motion at that particular second. The agent later documented each security rule it had violated.
Two pressing imperatives are concurrently impacting enterprise AI adoption.
The primary is the Agent Motion Floor. Brokers attain manufacturing methods by an increasing universe of instruments: MCP servers, REST APIs, CLI instructions, SQL interfaces, and SaaS platforms going headless. Each system that when required a human to log in and click on, or a pre-defined API connection, is now instantly reachable by any agent that causes it wants it. The motion floor is now not bounded. It’s increasing sooner than any enterprise can stock them.
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The second is the Agent Harness. Enterprises are deploying brokers by Claude Code, Cursor, Codex, Cowork, Hermes, and internally constructed harnesses. Enterprise SaaS platforms are additionally activating embedded brokers by default. Each certainly one of these harnesses can attain the identical increasing motion floor by querying databases, modifying buyer information, executing transactions, committing code, and calling exterior APIs, all with no human authority behind it.
Between these two imperatives sits the run-time authority hole: the absence of any mechanism that enforces human oversight over what brokers really do. Closing this hole requires two capabilities no enterprise has had collectively till now: a System of Actions that sees all the pieces brokers do throughout each session and system, and an enforcement engine that acts on what that system is aware of for the time being an agent decides to behave.
LangGuard GRAIL Knowledge FabricTM is a System of Actions for agentic workflow, purpose-built to document what brokers do, not simply what they entry. Each motion, each session, each system touched, in a steady structured context graph. LangGuard Arbiter© enforces for the time being brokers act.
LangGuard Arbiter© operates on the agent motion floor, the layer between an agent’s reasoning and the enterprise methods it acts upon. Each motion an agent makes an attempt is evaluated by Arbiter© earlier than it reaches the goal system. The end result is deterministic: ALLOW, BLOCK, or ESCALATE to a human authority for determination. Each coverage generated is instantly red-teamed towards adversarial agent habits earlier than it’s accepted. Solely insurance policies that cross grow to be verified, making a coverage ledger with a provenance chain from compliance intent to enforcement. That document is the compliance artifact auditors ask for and enterprises have by no means been capable of produce robotically.
With LangGuard Arbiter©, each enterprise crew accountable for agent adoption now has a prepared made management layer constructed for them:
Knowledge & AI groups: Generate and implement run-time insurance policies aligned to enterprise, SOX, GDPR, and different regulatory wants, with out writing guidelines for each potential agent-action mixture.
IT groups: Detect and include agent’s extreme company and token maxing by flagging brokers working past the supposed scope and finances overrun however previous to reaching manufacturing methods.
Audit groups: Generate Segregation of Duties (SoD) insurance policies that stop brokers from executing conflicting actions in the identical workflow and implement the identical SoD controls that govern human actions, now utilized to brokers.
Safety groups: Determine and block unintended actions just like the deadly trifecta the place an agent’s sequence of individually permissible actions produces an consequence that nobody approved.
The LangGuard Platform, Constructed on Databricks. Assist any agent harness.
LangGuard Platform consists of three important elements, delivered in a single unified providing. LangGuard GRAIL Knowledge FabricTM is the foundational System of Actions. SCOPE-MCP server maps what the brokers can attain at design time. LangGuard Arbiter© enforces what they will do. Collectively they shut the run-time authority hole from gaining visibility into agent motion floor to imposing actions in real-time.
A 14-Day F********* Provide at Databricks Knowledge & AI Summit
Starting June 15, LangGuard is providing a 14-day f********* of the whole LangGuard platform for present Databricks clients. Knowledge & AI groups can deploy LangGuard as an App in your Databricks workspace and work together with your favourite agent harness inside minutes.
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