autrace
Blog

LLM security, governance, and
production AI patterns.

Technical writing from the Autrace engineering team.

CostGovernanceToken-BudgetsEnterprise-AIFeatured

The 2026 Enterprise AI Cost Crisis: What Microsoft and Uber Teach Us About LLM Token Budgets

With Microsoft phasing out Claude Code due to high token bills and Uber exhausting its entire 2026 AI agent budget in four months, LLM cost containment is no longer optional. A technical guide to gateway-level model routing, token throttling, and shadow AI governance.

AE
Autrace Engineering
·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