autrace
Blog

LLM security, governance, and
production AI patterns.

Technical writing from the Autrace engineering team.

IntegrationOpenAIHow-toFeatured

Secure Your OpenAI Integration in 5 Minutes: One URL Change

Your OpenAI calls go straight to the model with no PII check, no injection detection, and no audit trail. Add all three with a single baseURL change — no SDK swap, no refactor.

AE
Autrace Engineering
·July 7, 2026·6 min read
CostCaching

Semantic Caching for LLMs: Stop Paying for the Same Answer Twice

A support bot answers the same question thousands of times a month at full token cost. Exact and semantic caching serve repeat and near-duplicate prompts at zero upstream cost. How it works, and when to use it.

July 7, 2026·7 min read
ComplianceHIPAA

HIPAA-Safe LLM Architecture: PHI Redaction, BAAs, and Audit Controls

You cannot paste PHI into a third-party model and hope. A practical architecture for healthcare AI: redact all 18 HIPAA identifiers in-path, keep inference on a BAA-covered account, and seal a tamper-evident audit trail.

July 7, 2026·9 min read
Shadow-AIData-Leakage

Shadow AI: How Employees Are Quietly Leaking Secrets to LLMs

Samsung engineers pasted source code into ChatGPT. Wall Street banks banned it outright. A Slack AI assistant was tricked into surfacing a private channel. Shadow AI is the leak you can't see — and a gateway is how you get visibility and control without banning AI.

July 6, 2026·8 min read
AgentsMCP

Securing AI Agents: Tool-Calling, Excessive Agency, and the Injection Kill-Chain

NIST launched an AI Agent Standards Initiative in 2026 and OWASP added an Agentic Top 10 for a reason: an agent with tools plus one indirect prompt injection is a real breach path. Here is the kill-chain — and the defense-in-depth that breaks it.

July 5, 2026·9 min read
CostGovernance

The Enterprise AI Cost Problem: Why LLM Spend Runs Away — and How to Contain It

Autonomous agents loop, background jobs re-ingest, and a per-call cost quietly becomes an unbounded one. A technical guide to gateway-level model routing, hard spend caps, and shadow-AI visibility that keeps LLM budgets predictable.

May 26, 2026·8 min read
GEOAEO

Generative Engine Optimization (GEO): How Enterprise AI Systems Ground and Cite Your Brand

With ChatGPT Search, Perplexity, and Gemini AI Overviews shifting traffic patterns in mid-2026, brands must adapt. A technical guide on how AI answer engines process, ground, and cite corporate documentation.

May 24, 2026·9 min read
ReasoningSecurity

Securing Reasoning Models: Guardrails and Policy Enforcement on OpenAI o3 and Claude 4.7

Reasoning models like OpenAI's o3 and Claude 4.7 Opus run complex internal thought chains before returning an output. Here is how that impacts injection vectors, leakage risks, and proxy-layer controls.

May 20, 2026·10 min read
SecurityLLM

Prompt Injection in Production: What It Is, Where It Hides, and How to Block It

Most developers understand SQL injection. Far fewer have audited their LLM prompts for the equivalent attack. Here's a technical breakdown of direct vs. indirect prompt injection, with real detection patterns.

April 15, 2026·8 min read
CompliancePII

PII in AI Pipelines: The Hidden Compliance Risk in Every LLM Call

When users send messages to your AI assistant, they include credit card numbers, passport details, and health information far more often than you'd expect. Here's what the data shows and how to handle it.

April 8, 2026·6 min read
ArchitectureZero-Trust

Zero-Trust Architecture for LLM Deployments

Zero-trust means "never trust, always verify" - but most LLM deployments implicitly trust everything in the prompt. This post maps zero-trust principles onto the LLM request lifecycle.

April 1, 2026·10 min read
AuditCompliance

Why LLM Audit Trails Need Cryptographic Chaining (Not Just Logs)

An append-only log is better than nothing. A cryptographically chained audit trail is what regulated environments actually need. The difference - and how to build it.

March 24, 2026·7 min read
OWASPSecurity

OWASP LLM Top 10 Explained: What Each Risk Means in Practice

The OWASP LLM Top 10 list exists. Far fewer teams have mapped their architecture against it. This post walks through each of the 10 risks with concrete examples from real application patterns.

March 17, 2026·12 min read
CostRouting

Model Routing: Using the Cheapest Model That Actually Solves the Task

Not every LLM call needs GPT-5.5. A routing layer that sends classification tasks to Gemini Flash and complex reasoning to Claude Opus can cut LLM costs by 60-80% with no quality degradation.

March 10, 2026·9 min read