The execution trust layer for autonomous AI

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May 12, 2026

2026 Rank: #1472

Exogram

United States AI security

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The execution trust layer for autonomous AI

Agent Governance AI Infrastructure API Security Audit Trails Autonomous Agents LLMOpsFree + from $99.00/mo

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Overview

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AI agents are beginning to operate repositories, APIs, databases, enterprise workflows, infrastructure, and production systems autonomously.

The problem is no longer whether the models are intelligent.

The problem is that probabilistic systems are now executing against deterministic infrastructure.

Exogram is the execution trust layer between AI systems and operational environments.

Instead of allowing autonomous agents to directly mutate repositories, invoke APIs, execute terminal commands, or operate infrastructure, Exogram intercepts execution requests and evaluates them against runtime policy, operational boundaries, system state, environmental constraints, and deterministic admissibility rules before execution is permitted.

Exogram provides:

• Runtime interception for AI actions
• Deterministic execution governance
• Policy enforcement and operational boundaries
• Stateful execution verification
• Append-only audit trails
• Runtime admissibility controls
• Rollback containment and execution telemetry

The platform integrates with Claude Code, Cursor, Windsurf, Cline, Codex, MCP-based systems, APIs, CI/CD pipelines, and enterprise orchestration workflows.

Rather than relying on probabilistic guardrails supervising other probabilistic systems, Exogram governs execution directly before operational state is mutated.

Reasoning is not infrastructure.

Autonomous execution requires deterministic trust.

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Key Features

Ai Security Firewall
Runtime Governance
Policy Enforcement
Ai Agent Governance

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May 12, 2026

Initial release of Exogram.

Author

Richard Ewing

@richard-ewing

Product operator building deterministic runtime governance infrastructure for enterprise AI systems.

exogram.ai

🇺🇸 United States

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AI security Exogram

United States AI security

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Cybersecurity202 0 Audits1 0 API security3 0 Enterprise architecture1 0 AI inference5 0 Agent identity verification3 0

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Pros and Cons

Pros

Runtime governance layer

Intercepts agent actions

Evaluates against policy constraints

State-aware rule evaluation

Blocks unsafe operations

Governs execution and infrastructure

Bounded execution policy enforcement

Append-only audit trails

Runtime admissibility controls

Integration with agent frameworks

Control-plane architecture

Persistent memory functionality

Execution Authority Layer

Operational Boundaries

Real-time action evaluation

Fintech, Healthcare, SaaS, Legal applications

Protocol (EAAP) Integration

Database Governance

CLI including Terminal commands

State verification features

Controls execution

Allows or blocks requests

Execution boundary enforcement

Resolving Action Admissibility

View 19 more pros

Cons

Deterministic controls may restrict agent autonomy

Not an orchestration platform

Requires governance policy configuration

Built for enterprise workflows, not consumers

Limited ecosystem integrations currently

Early-stage infrastructure product

Requires technical implementation

Complex setup

Limited integrations

No autonomous action generation

Difficulties with large-scale implementation

Requires extensive technical knowledge

No orchestration capabilities

Strict execution boundaries

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Q&A

What is Exogram and what does it do?

Exogram is an Execution Authority Layer designed for enterprise AI applications with an aim to prevent system failures within a deterministic infrastructure. By providing a 4-layer control plane, it maintains persistent structural memory and supports deterministic inference which helps to prevent common issues encountered in LLM-dependent companies, such as session amnesia and hallucinatory drift. It also enforces operational boundaries and trust ledgers to increase the safety, security, and control of AI applications.

How does Exogram combat session amnesia in AI?

Exogram combats session amnesia in AI through its Persistent Structural Memory layer. This layer creates a unified ledger of state and context across all agent interactions, effectively solving session amnesia by keeping track of what's happening across different AI sessions.

What is the function of the 4-layer control plane in Exogram?

The function of the 4-layer control plane in Exogram is to establish a structural memory, apply deterministic inference, create operational boundaries, and maintain trust ledgers. These layers work together to combat typical issues found in LLM-dependent companies such as session amnesia and hallucination drift, establish hard-coded security barriers, and create cryptographically signed audit trails.

How does Exogram eliminate hallucination drift in AI?

Exogram eliminates hallucination drift in AI by grounding the LLM's probabilistic output against a factual graph. This deterministic inference layer helps to align the outputs generated by AI with a predetermined set of accurate, factual data, thus completely eliminating the possibility of hallucination drift.

What are operational boundaries and trust ledgers in Exogram?

In Exogram, operational boundaries are hard-coded security matrices that physically prevent AI agents from executing unauthorized actions. These boundaries ensure that the AI can't take actions that haven't been pre-approved. Trust ledgers, meanwhile, are cryptographically signed audit trails of every state transition and API call, ensuring true provenance as systems become autonomous.

How does Exogram ensure safety and security in AI application?

Exogram ensures safety and security in AI applications through its operational boundaries and trust ledgers. Operational boundaries physically stop unauthorized actions, providing security, while trust ledgers document all APIs calls and state transitions, thus creating a trustable and verifiable audit trail, thus enhancing safety.

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Can Exogram be utilized across different enterprise AI applications?

Yes, Exogram can be utilized widely across different enterprise AI applications such as FinTech, Healthcare, SaaS, and Legal. Its ability to maintain persistent structural memory, enforce operational boundaries, and keep a record of all state transitions and API calls using trust ledgers makes it suitable for these applications.

How does Exogram maintain a unified ledger of state and context?

Exogram maintains a unified ledger of state and context through its Persistent Structural Memory. It keeps track of each interaction, providing a holistic overview of state and context across all agent interactions. This enables the platform to effectively mitigate the common issue of session amnesia in AI systems.

What kind of AI systems require Exogram for their functionality?

AI systems that are LLM-dependent or those relying on Large Language Models require Exogram for their functionality. It provides deterministic inference and maintains a unified ledger of state and context across all agent interactions, which solves session amnesia and hallucination drift, typical problems for such AIs. Furthermore, it provides execution authority ensuring only explicit actions to be performed.

How does Exogram assist in stopping AI hallucinations against the enterprise infrastructure?

Exogram assists in stopping AI hallucinations against the enterprise infrastructure by implementing deterministic inference. This functionality grounds the LLM's probabilistic output against a factual graph, which entirely eliminates the potential for hallucination drift, effectively stopping the formation of any AI hallucinations.

How does Exogram enforce operational boundaries?

Exogram enforces operational boundaries via hard-coded security matrices. These matrices physically prevent agents from executing unauthorized actions or hallucinated tools. This strategy allows Exogram to ensure that the AI only performs actions that have been explicitly approved, enhancing security.

What does the term 'Execution Authority Layer' mean in reference to Exogram?

The 'Execution Authority Layer' in reference to Exogram is a protective measure that evaluates and decides on proposed AI actions. It is the feature that provides the ultimate permission only to explicitly-approved actions to be executed, ensuring a gap between probabilistic decision and deterministic execution. It adds a layer of safety and security to AI applications.

How does Exogram differentiate itself from other AI tools?

Exogram differentiates itself from other AI tools by offering a 4-layer control plane that combats session amnesia and hallucination drift, enforces operational boundaries, and maintains trust ledgers. The tool's ability to evaluate and make decisions on proposed actions by an AI, which allows only explicitly allowed actions to get executed, sets it apart from the competition.

How does Exogram ensure AI Auditability?

Exogram ensures AI Auditability through its Trust Ledgers layer. Trust ledgers are cryptographically signed audit trails of every state transition and API call. By keeping track of and auditing these ledgers, Exogram supports transparency and accountability in autonomous AI systems, thereby ensuring auditability.

How does Exogram contribute to AI control?

Exogram contributes to AI Control by providing operational boundaries and trust ledgers. The operational boundaries give a level of control to the developers and administrators over what the AI can do, while trust ledgers provide control over auditing and transparency, thus ensuring a controlled AI system.

What is the relationship between Exogram and deterministic infrastructure?

Exogram's relationship with deterministic infrastructure is symbiotic. As an Execution Authority Layer, Exogram aims to reduce system failures within deterministic infrastructures used by AI systems. It provides a 4-layer control plane for ensuring persistent structural memory and deterministic inference, in addition to enforcing operational boundaries and trust ledgers.

What role does provenance assurance play in Exogram's functionality?

Provenance assurance plays a significant role in Exogram's functionality. Through cryptographically signed audit trails of every state transition and API call, also known as trust ledgers, Exogram ensures true provenance, keeping a verifiable record of the provenance of data and information process within the AI system.

How does Exogram aid in preventing system failures in AI?

Exogram aids in preventing system failures in AI by managing several issues usually found in LLM-dependent AI systems. It combats session amnesia and hallucination drift by maintaining persistent structural memory and providing deterministic inference. It also establishes operational boundaries which prevent AI from making unauthorized actions, thereby alleviating the risk of system failure.

Does Exogram support integration with other platforms or tools?

Yes, Exogram does support integration with other platforms or tools. It can be used either through its API, as an extension or as a plugin in enterprise AIs. Additionally, integration options like MCP, ChatGPT, REST API are mentioned specifically on their website.

How does Exogram contribute to AI governance in an enterprise setting?

Exogram contributes to AI governance in an enterprise setting through its structural memory maintenance, deterministic inference provision, operational boundaries enforcement and trust ledgers assurance. These functionalities help corporations to trust, audit and control their AI systems, thereby providing a comprehensive governance infrastructure.

What is Exogram?

Exogram is a runtime governance and policy enforcement layer for enterprise AI systems. It acts as the Execution Authority Layer for AI in enterprises, providing a control plane that scales Language Models (LLMs) by facilitating persistent memory and structured inference. It addresses issues such as amnesia and hallucinatory drift, and ensures the safety and reliability of AI systems.

How does Exogram prevent unsafe operations before execution?

Exogram enforces operational boundaries, which are hard-coded security matrices that prevent AI agents from executing unsafe or unauthorized actions. The platform intercepts proposed agent actions before execution and evaluates them against policy constraints, execution boundaries, and state-aware rules. Any action that doesn't comply with the defined criteria is forbidden, thereby preventing unsafe operations before execution.

Can Exogram monitor infrastructure access?

Yes, Exogram has the capacity to govern tool execution and infrastructure access through its control-plane architecture. This feature helps ensure that AI agents don't overstep their bounds and access infrastructure components without proper authorization.

In what ways does Exogram enforce bounded execution policies for AI agents?

Exogram enforces bounded execution policies for AI agents through the concept of Operational Boundaries. Operational Boundaries are hard-coded security matrices that effectively restrict an AI agent's potential actions, preventing them from executing tasks outside of their authorization. This ensures that all AI actions align with an enterprise's governance policies and security protocols.

What is the audit visibility offered by Exogram?

Exogram provides an append-only audit visibility for evaluated actions, keeping cryptographically signed audit trails of all state transitions and API calls. This feature, also known as Trust Ledgers, is vital to verifying the provenance of autonomous AI systems and ensures full visibility of all actions, aiding in accountability and reliability.

How does Exogram introduce runtime admissibility controls into autonomous workflows?

Exogram introduces runtime admissibility controls into autonomous workflows by assessing proposed AI actions in real-time, prior to their execution. It checks the action against pre-defined operational boundaries or rules. If an action isn't explicitly allowed, it is blocked, thereby controlling the admissibility of actions at runtime.

What systems and frameworks can Exogram integrate with?

Exogram can integrate with various existing agent frameworks and orchestration layers through its control-plane architecture. This includes tools like MCP, ChatGPT, and it also offers REST API endpoints for integration, providing a boost to execution governance and authorization.

How does Exogram prevent AI hallucinations in enterprise infrastructure?

Exogram employs a two-layered approach, Persistent Structural Memory and Deterministic Inference, to prevent AI hallucinations in enterprise infrastructure. Exogram maintains an infinite ledger of state and context across agent interactions, eliminating amnesia, and grounds the output of the Language Models against a factual graph for precision, eliminating hallucinatory drift.

What role does Exogram play in State Transition Tracking?

State Transition Tracking in Exogram is facilitated through Trust Ledgers, which are cryptographically signed audit trails of all state transitions and API calls. By tracking state transitions, Exogram verifies the provenance of autonomous AI systems and ensures that all actions align with the specified rules, maintaining integrity and accountability in AI operations.

How does Exogram contribute to AI reliability?

Exogram contributes to AI reliability by separating AI action proposal and execution, which mitigates execution risks. It ensures that operations only execute if they fall within defined operational boundaries and follow deterministic rules. Moreover, Exogram solves issues such as amnesia and hallucinatory drift in AI systems, making them more reliable.

Can Exogram integrate with tools like MCP and ChatGPT?

Yes, Exogram demonstrates integration capabilities with various tools, including MCP and ChatGPT. This is made possible via its control-plane architecture that encourages scalable execution governance and authorization.

How does Exogram use Persistent Structural Memory?

Exogram uses Persistent Structural Memory to maintain a unified, infinite ledger of state and context across all agent interactions. This mechanism effectively solves the issue of session amnesia common in Language Models, ensuring that the system retains all relevant information from one task to the next.

What is Deterministic Inference in the context of Exogram?

Deterministic Inference is Exogram's approach to grounding the Language Model's output against a factual graph. This effectively eliminates hallucinatory drift - a common discrepancy in AI where models lose accuracy and fabricate data over extended runs.

What are Operational Boundaries in Exogram?

Operational Boundaries in Exogram constitute hard-coded security matrices that prevent AI agents from executing unauthorized actions. They serve as the effective control mechanisms for ensuring that all AI operations remain within the permitted scope, enhancing the safety and reliability of the system.

How does Exogram use Trust Ledgers?

Trust Ledgers in Exogram are cryptographically signed audit trails of every state transition and API call. They are instrumental in ensuring true provenance as AI systems become autonomous, maintaining accountability, and achieving a high level of transparency and trust.

What is the role of Exogram in AI-generated action evaluation?

Exogram plays a vital role in the evaluation of AI-generated actions. As the controlling authority, Exogram assesses proposed AI actions in real-time, pre-execution. It verifies that the actions align with defined operational boundaries and policy constraints. Actions that fail to meet the criteria are not executed, ensuring reliable and compliant system operation.

Which industries can best benefit from using Exogram?

Exogram can benefit a broad array of industries that depend heavily on AI technology. Its use cases span across sectors such as FinTech, Healthcare, SaaS, and Legal. It bolsters AI governance and ensures deployable AI systems that enterprises in these industries can trust.

How does Exogram mitigate execution risks?

Exogram mitigates execution risks through the separation of AI action proposal and execution. It evaluates proposed actions in real time, only allowing execution of those actions that comply with the defined operational boundaries and deterministic rules. This deterministic nature of the execution prevents system malfunctions and potential oversteps.

How does Exogram contrast with other AI tools, such as Guardrails?

Exogram can be compared with AI tools like Guardrails on various factors. Exogram goes beyond simple orchestration and prompt management. It serves as the foundational layer ensuring proper execution by controlling what is allowed to execute and enforcing non-bypassable constraints. While the Explicit information on direct comparisons with other tools like Guardrails is not extensively provided, Exogram emphasizes robust control mechanisms, deterministic execution, and mitigation of AI shortcomings like amnesia and hallucination.

How does Exogram address the issue of amnesia in AI systems?

Exogram addresses the issue of amnesia in AI systems through its implementation of Persistent Structural Memory. It maintains an infinite ledger of state and context across all agent interactions, eliminating the problem of session amnesia. This means the system retains all relevant information from one task to the next, providing an efficient and uninterrupted flow of processes.

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Exogram

Overview

Supported features

Key Features

Releases

Richard Ewing

Pricing

Built With AI

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