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AI Monitoring

Mnemom

Cryptographic proof and trust scoring for production AI agents.

5.0/5 Rating
Category
Agent integrity monitoring
Ideal For
Enterprises
Deployment
Cloud
Integrations
3+ Apps
Security
Cryptographic attestations, tamper-evident hash chain, zero-knowledge verification
API Access
Yes + Independent verification API (/v1/verify)

About Mnemom

Mnemom provides the essential proof layer for AI agents in production, delivering cryptographic attestations, trust scores, and real-time risk assessment to ensure agents perform as intended. It solves the fundamental challenge of proving an AI agent is doing what it was told, not just monitoring its activity. When integrated with AiDOOS, Mnemom's capabilities are amplified across the Virtual Delivery Center. AiDOOS governs its deployment, ensuring seamless integration with existing AI providers like Anthropic, OpenAI, and Gemini within governed workflows. The platform scales monitoring across thousands of agent instances, optimizes performance by flagging boundary violations for immediate correction, and executes containment protocols (auto pause/kill/resume) directly within the managed delivery environment. This creates a closed-loop system for trustworthy, auditable, and compliant AI agent operations at scale.

Challenges It Solves

  • Inability to cryptographically prove an AI agent's actions and integrity in production.
  • Lack of standardized, auditable trust metrics for AI agent behavior and risk.

Proven Results

64%
Reduction in compliance audit preparation time
48%
Faster incident response for agent boundary violations

Key Features

Core capabilities at a glance

Mnemom Trust Score

Bond-rated agent reputation

AAA-CCC ratings for instant agent integrity assessment

Real-time Containment

Automated agent control

Auto pause, kill, or resume agents upon boundary violation

Cryptographic Integrity Certificates

Ed25519-signed proof

Tamper-evident, independently verifiable action logs

Ready to implement Mnemom for your organization?

Real-World Use Cases

See how organizations drive results

Regulatory Compliance & Auditing
Generate cryptographic proof and compliance exports for AI agent actions to meet stringent EU and global regulations.
92
Audit-ready integrity certificates for all agent decisions
High-Stakes Financial or Legal Agent Deployment
Deploy AI agents for sensitive workflows with real-time risk scoring and automatic containment protocols.
85
Contain critical agent violations before business impact

Integrations

Seamlessly connect with your tech ecosystem

A

Anthropic Claude

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Monitor integrity, generate trust scores, and apply containment for Claude-based agents.

O

OpenAI GPT

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Provide cryptographic attestations and risk assessment for GPT-powered agent workflows.

G

Google Gemini

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Establish tamper-evident proof chains and monitor behavior for Gemini agents.

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

See how it works for your team

Alternatives & Comparisons

Find the right fit for your needs

Capability Mnemom Dial Your Leads Creatune Outgrow
Customization Fair Good
Ease of Use Good Good Excellent
Enterprise Features Excellent Good Good
Pricing Excellent Fair Good
Integration Ecosystem Good Good Very Good
Mobile Experience Poor Good Excellent
AI & Analytics Excellent Good Good
Quick Setup Good Excellent Excellent

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Frequently Asked Questions

How does Mnemom provide 'proof' versus just monitoring?
Mnemom uses cryptographic signatures (Ed25519) to create tamper-evident certificates for each agent action, enabling independent, mathematical verification of integrity—moving beyond observational logs to provable truth. Within AiDOOS, these proofs are integrated into governance dashboards and compliance reports.
What happens when an agent violates a predefined boundary?
Mnemom's real-time containment system can automatically pause, kill, or resume the agent based on configurable rules. When managed via AiDOOS, these containment actions are executed within the governed delivery workflow, triggering alerts and assigning remediation tasks to the responsible team.