Trace Continuity Labs Blog

May 21, 2026 · 8 min read

AI Memory Governance for Defense Applications: Why ITAR and FedRAMP Start at the Memory Layer

Defense and government AI agents process classified and controlled unclassified information (CUI) that requires strict data handling under ITAR, FedRAMP, and CMMC frameworks. Most memory solutions store it raw — with no sovereignty controls, no compartmentalization, and no audit trail for compliance officers. Here is how governed memory solves all three.

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TC

May 17, 2026 · 10 min read

AI Memory for Financial Services: Why PCI-DSS Compliance Starts at the Memory Layer

Payment AI agents — fraud detection, underwriting, customer support, portfolio analysis — process cardholder data every session. Most memory solutions either store it raw (PCI-DSS violation) or discard it (losing transaction context). The compliance gap is architectural, not procedural. Here is how governed memory solves it.

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May 14, 2026 · 7 min read

AI Memory Governance for Legal Tech: How Contract AI Agents Handle Privileged Data

Contract review, discovery, and due diligence AI agents process data that is legally privileged, commercially sensitive, and per-client isolated. Most memory solutions store it raw — creating attorney-client privilege exposure, client matter crossover, and audit trails that fail discovery. Here is how governed memory solves all three.

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TC

May 12, 2026 · 8 min read

How to Build HIPAA-Compliant AI Memory for Healthcare Agents

Healthcare AI agents handle PHI every session. Most memory solutions either delete sensitive data (losing clinical context) or store it raw (HIPAA violation). Deterministic tokenization solves both. Here's how it works — with code.

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TC

May 6, 2026 · 11 min read

Trace Continuity vs Mem0 vs Zep: AI Memory Governance Compared

Mem0 and Zep solve memory retrieval. Neither solves governance. Here's a technical breakdown of what that difference means for teams building AI agents in healthcare, fintech, legal, and other regulated environments.

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May 4, 2026 · 8 min read

AI Agent Memory: Build vs Buy for Enterprise Teams

Every enterprise AI team hits the same fork in the road: build your own memory and governance layer, or buy one. Here's the honest breakdown — what build actually costs, what a managed solution actually provides, and how to make the call.

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April 28, 2026 · 9 min read

Trace Continuity vs Mem0 vs Zep: AI Memory Comparison 2026

Choosing an AI memory layer in 2026? Here's what the docs don't tell you — a developer-first breakdown of graph memory, governance features, pricing, and when each tool actually wins.

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April 25, 2026 · 7 min read

The Developer's Guide to Governed AI Memory

A technical walkthrough of how Trace Continuity works, with code examples. How governed AI memory differs from Mem0, Zep, and bare vector stores — and why the architecture matters.

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April 23, 2026 · 6 min read

PII Redaction for AI Agents: Why It Can't Be an Afterthought

PII leaks through AI memory systems in ways developers don't anticipate. Here's how it happens and what Trace Continuity does architecturally to prevent it.

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April 21, 2026 · 6 min read

Why AI Memory Without Governance Is a Ticking Time Bomb

What happens when an AI agent remembers a patient's diagnosis or a client's financial data with zero controls? The answer is a compliance incident you can't walk back.

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AI memory. Governance. Trust.