Whitepapers

Comprehensive Research on Enterprise AI Governance

Marketing to AI

Business best practices for visibility, trust, and citation in AI-mediated discovery. A comprehensive GEO framework based on Princeton research showing how to boost AI citation rates by up to 40%.

Abandon Legacy, Embrace AI

Strategic framework for transitioning from Agile/Scrum to AI-native development. Includes 5-layer architecture, AI literacy programs, cost models, and phased transition roadmap for enterprise organizations.

Zero-Knowledge Proofs for AI

A deep dive on zk-SNARKs in THEMIS. Learn how cryptographic governance enables proving compliance without revealing sensitive data—essential for HIPAA, SOC 2, and EU AI Act requirements.

Why Vector Databases Aren't Enough

How episodic memory, temporal awareness, and federated architecture redefine AI memory for compliant enterprise systems. Explores why pure vector search fails for long-running agents and introduces Mnemosyne's approach.

The Governance Runtime

Why every agent framework needs a governance layer in 2026. Analyzes gaps across LangChain, CrewAI, OpenAI, and Anthropic—and positions THEMIS as the missing runtime for production AI.

Merkle DAGs Explained

How Merkle Directed Acyclic Graphs create tamper-evident audit trails for AI systems. Learn the cryptographic foundations of verifiable evidence chains in THEMIS.

HIPAA AI Agents in Healthcare Workflows

How to deploy AI agents in healthcare while maintaining HIPAA compliance. Covers PHI handling, audit trails, encryption requirements, and clinical workflow integration with real-world implementation patterns.

From Prototype to Production

The zero-trust path for agentic AI. Contrasts open-source agent frameworks with Apotheon's runtime governance architecture and explains why 95% of AI pilots fail to reach production.

FedRAMP, CMMC, and Air-Gapped AI

How to deploy AI governance in air-gapped, FedRAMP, and CMMC environments. Covers offline model deployment, cryptographic verification, and compliance documentation for defense and government use cases.

EU AI Act Compliance for Agentic Systems

Comprehensive guide to EU AI Act compliance for agentic systems. Covers high-risk classifications, transparency requirements, human oversight, and technical documentation mandates.

Agentic AI Attack Surface

Security analysis of agentic AI systems using the ARES red team framework. Covers prompt injection, tool abuse, memory poisoning, and governance bypass techniques with mitigation strategies.

AI Governance Frameworks

Declarative policy enforcement, zero-trust architectures, and cryptographic audit trails

Cryptographic Compliance

zk-SNARKs, tamper-evident proofs, and regulatory evidence chains

Memory Architecture

Episodic memory, temporal awareness, and federated storage for long-running agents

Enterprise Deployment

Production patterns, integration strategies, and compliance requirements

Healthcare & HIPAA

PHI handling, clinical workflows, and compliant AI agent deployment in healthcare

Defense & Government

FedRAMP, CMMC, air-gapped deployments, and classified AI operations

Regulatory Compliance

EU AI Act, SOC 2, ISO 27001, and global AI regulatory frameworks

Security & Red Teaming

Attack surface analysis, prompt injection, tool abuse, and ARES framework

Need Custom Research?

Our research team can help you understand governance requirements for your specific industry and use case.

Contact Research Team