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Perspectives

Écrire sur l'exécution sécurisée d'apps LLM en production : contrôles d'accès, surveillance, fiabilité et gestion des coûts.

En Vedette

En Vedette

Case Study: Preventing $500/day Cost Spikes in a RAG Chatbot

How access controls, monitoring, and spend limits prevented data leaks and reduced uncontrolled API costs by 90%.

case-study
rag
llm-security
Jan 15, 20264 min de lecture
En Vedette

LLM Production Safety Checklist: What to Verify Before Your AI Feature Reaches Users

A practical checklist for checking access control, prompt injection exposure, RAG leakage, tool permissions, observability, cost controls, and failure handling before an LLM feature goes live.

llm-security
rag
ai-safety
May 3, 20267 min de lecture
En Vedette

Securing LLM Agents: When Your AI Can Take Actions

LLM agents that call APIs, query databases, and execute code introduce a new class of security risks. How to sandbox, validate, and audit autonomous AI actions.

llm
ai-security
agents
Feb 17, 20267 min de lecture
En Vedette

LLM Observability: Monitoring What Your Model Actually Does

How to build observability into LLM applications—tracing chains, tracking token costs, detecting drift, and alerting on safety violations in real time.

llm
ai-reliability
infrastructure
Jan 26, 20267 min de lecture
En Vedette

Securing LLM API Endpoints in Production

Protecting your LLM APIs from abuse, token exhaustion, and unauthorized access with practical rate limiting and authentication patterns.

ai-security
api-security
llm
Dec 10, 20257 min de lecture
En Vedette

RAG Security Fundamentals

Understanding security risks in Retrieval-Augmented Generation systems and practical defense strategies.

ai-security
rag
llm
Oct 28, 20252 min de lecture

Tous les Articles

Case Study: Securing a Multi-Agent Customer Service Pipeline

How we locked down a 4-agent customer service system—preventing tool abuse, data leakage between agents, and unauthorized actions—with a baseline assessment and 2-week sprint.

case-study
llm-security
guardrails
Apr 15, 20265 min de lecture

Building an LLM Safety Evidence Package for Enterprise Buyers

What enterprise buyers actually ask for when evaluating your AI safety posture—and how to build the evidence package that closes the deal.

llm
ai-security
guardrails
Apr 3, 20266 min de lecture

Token Optimization: Cutting LLM Costs Without Sacrificing Safety

Practical techniques for reducing LLM API costs in RAG and chatbot systems—prompt compression, retrieval slimming, caching—without weakening guardrails.

llm
cost-optimization
rag
Mar 22, 20266 min de lecture

From Baseline to CI: Automating LLM Safety Regression Tests

How to turn your initial safety assessment into permanent CI regression gates that catch vulnerabilities on every deployment.

llm
testing
ai-security
Mar 11, 20268 min de lecture

Document Ingestion Security in RAG Pipelines

PDFs, images, and spreadsheets can carry hidden prompt injection payloads into your RAG knowledge base. How to harden the ingestion pipeline.

llm
ai-security
rag
Feb 28, 20266 min de lecture

Evaluating Guardrail Frameworks for LLM Applications

A practical comparison of NeMo Guardrails, Guardrails AI, and custom implementations—benchmarks, trade-offs, and when to use each.

llm
guardrails
ai-security
Feb 6, 20266 min de lecture

Red Teaming Your LLM Application

A systematic methodology for security testing LLM applications—finding vulnerabilities before attackers do.

ai-security
red-team
llm
Dec 20, 20258 min de lecture

Jailbreaking LLMs: Understanding Guardrail Bypass Attacks

How attackers bypass LLM safety guardrails through role-play, encoding tricks, and multi-turn manipulation—and how to defend against them.

ai-security
jailbreaking
llm
Nov 28, 20255 min de lecture

Detecting Hallucinations in Production LLMs

Practical techniques for identifying and preventing LLM hallucinations - fabricated facts, fake URLs, and invented citations.

ai-reliability
hallucination
llm
Nov 18, 20254 min de lecture

PII Leakage in LLM Applications

How LLMs leak sensitive data and practical strategies to prevent PII exposure in production AI systems.

ai-security
pii
data-privacy
Nov 8, 20254 min de lecture

Understanding Prompt Injection Attacks

A comprehensive guide to prompt injection vulnerabilities in LLM systems and how to defend against them.

ai-security
prompt-injection
llm
Oct 15, 20251 min de lecture
Perspectives | Musah Abdulai