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AI Security, Compliance,
and Engineering
Deep dives from the UMAI engineering and security teams on building responsible AI systems at scale.
Compliance · UMAI Blog
Closing the AI Compliance Gap: How Regulated Enterprises Replace Ad Hoc Reviews with Inline Enforcement
Spreadsheets, policy PDFs, and quarterly review boards cannot keep up with how fast AI is being deployed. Here is how regulated enterprises are replacing ad hoc governance with one inline enforcement platform across every AI surface.
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2026-04-15 | 11 min read
Runtime Controls for Prompt Injection and Data Leakage: A Practitioner's Guide
Static rules and post-hoc log review do not stop prompt injection or data exfiltration. This is what a runtime control plane for AI looks like in production — and how it actually catches the attacks that matter.
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2026-04-02 | 9 min read
Evidence-First AI Governance: Why Regulated Companies Are Rethinking the Operating Model
Documentation-first governance produces policies. Evidence-first governance produces proof. For regulated companies, the difference shows up the first time an auditor or regulator asks 'show me.'
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2026-03-29 | 8 min read
Browser AI Governance: Why the API Perimeter Is Not Enough
API-side guardrails miss the AI usage that happens in employee browsers — ChatGPT tabs, Claude conversations, Gemini sessions. Most regulated organizations underestimate this surface by an order of magnitude. Here is what to do about it.
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2026-03-25 | 9 min read
EU AI Act Readiness Without Operational Drag: A Practical Path for Enterprise Teams
EU AI Act compliance does not have to slow your AI program down. Here is a practical mapping from the Act's core requirements to controls that can be deployed without rebuilding your applications.
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2026-03-21 | 10 min read
One Control Plane for Apps, Agents, and Copilots: Why Surface Fragmentation Breaks AI Governance
Different AI surfaces have different threat models, but they need the same governance. Apps, agents, and copilots demand a unified control plane — not three separate point solutions that drift apart over time.
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2026-03-17 | 9 min read
Policy Enforcement in Milliseconds: The Engineering Behind Latency Budgets That Do Not Break AI Features
If your AI guardrail adds 100ms of latency, product teams will turn it off. Here is what it takes — architecturally and engineering-wise — to deliver enforceable policy in single-digit milliseconds.
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2026-03-13 | 8 min read
Stop Data Leakage Before It Reaches the Model: Why PRE_LLM Enforcement Beats Post-Incident Cleanup
Most AI security programs detect violations after the model has already processed the data. By then the leak has happened. Here is how healthcare, financial services, and other high-stakes teams enforce policy at the source — before the prompt ever reaches the model.
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2026-04-10 | 10 min read
From Quarter-Long Audits to Real-Time Evidence: How Governance Teams Compress AI Audit Cycles
Audit cycles for AI systems regularly stretch into months. Tamper-evident, hash-chained evidence generated at the moment of every policy decision changes the math. Here is how governance teams cut their cycle time by an order of magnitude.
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2026-04-05 | 10 min read
Defending Against Prompt Injection at Scale: Lessons from 500M Evaluations
After more than 500 million LLM guardrail evaluations across production deployments, we break down the top injection patterns, where static rules fail, and why adaptive policies win.
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2025-01-20 | 12 min read
How UMAI Helps You Pass SOC 2 Type II with AI Systems in Scope
A practical walkthrough of mapping UMAI audit logs, policy verdicts, and access controls to SOC 2 Trust Services Criteria for security, availability, and confidentiality.
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2025-01-14 | 9 min read
Why POST_LLM PII Detection Is Harder Than You Think
Models hallucinate. Sometimes they hallucinate real-looking SSNs, credit card numbers, and email addresses. Here is how UMAI's POST_LLM layer catches them before they reach users.
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2025-01-07 | 8 min read
Building Multi-Tenant AI Safety: Architecture Patterns for SaaS Platforms
If you are building an AI product that serves enterprise customers, you need per-tenant policy isolation. This article covers the architectural decisions and trade-offs we made in UMAI.
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2024-12-18 | 11 min read
UMAI is Generally Available: Enterprise AI Guardrails for Everyone
After six months of private beta with 40 enterprise teams, UMAI is now generally available. Here is what we built, what we learned, and what is coming next.
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2024-12-01 | 6 min read
Changelog v1.4 — Organization-scope Policies and Policy Inheritance
You can now define guardrail policies at the organization scope that automatically cascade to all environments and projects, with per-project overrides.
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2024-11-28 | 3 min read