PROMPTGUARD BLOG
Latest news and updates about AI security and PromptGuard.
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Why Self-Hostable Security Tools Are the Future of Enterprise AI
Why enterprises need self-hostable AI security. Data sovereignty, auditability, and vendor lock-in concerns.
Securing LangChain Applications: The Right Way to Add Security
How to integrate security into LangChain without breaking your architecture. Three approaches, when to use each, and what we learned from production deployments.
PCI-DSS Compliance for Financial AI: Real Requirements and Implementation
How to make AI applications PCI-DSS compliant. Requirements, implementation challenges, and lessons from production fintech deployments.
HIPAA Compliance for AI: What We Learned from Healthcare Deployments
How to make AI applications HIPAA-compliant. Real requirements, implementation challenges, and what we learned from production healthcare deployments.
The Hidden Cost of LLM Security Breaches: Beyond Data Leaks
The real cost of AI security breaches goes beyond data leaks. Reputation damage, compliance fines, and lost revenue add up quickly.
Securing AI Customer Support Bots: A Complete Implementation Guide
How to secure customer support chatbots from prompt injection, PII leaks, and jailbreaks. Real examples and implementation guide.
Protecting RAG Pipelines from Indirect Prompt Injection
How indirect injection works, why RAG systems are vulnerable, and how to protect them with real examples.
Debugging False Positives: What We Learned from 230 False Alarms
How to debug false positives in production. Real examples, systematic approaches, and the patterns we've seen across thousands of deployments.
Why Transparent Security Matters: Lessons from Production
Why security tools need to be transparent. How explainable decisions help debug false positives, build trust, and improve continuously.
Building PII Detection That Actually Works: Lessons from Production
How we built PII detection that catches 99.5% of leaks while keeping false positives under 0.1%. The technical decisions, trade-offs, and what we learned.
How to Prevent Prompt Injection Attacks: A Complete Guide for Developers
Learn how prompt injection works, why traditional security fails, and how to protect your AI applications with real-world examples.
Building Secure AI Agents: Tool Validation and Human-in-the-Loop
How to secure AI agents that execute tools. Validate tool calls, detect privilege escalation, and require human approval for sensitive operations.
Zero-Code Security: How We Built a CLI That Secures Codebases in Seconds
The story behind the PromptGuard CLI. Why we built it, how it works, and what we learned from securing thousands of codebases.
The PromptGuard Architecture: Open Source AI Security Done Right
A deep dive into how PromptGuard works under the hood. Open source, self-hostable, and built for scale.
The Hybrid Detection Architecture: Fast Security Without the Trade-offs
How PromptGuard's hybrid detection system works. Fast path for common cases, slow path for edge cases, and why this matters.
Real-World Prompt Injection Attacks: What's Actually Happening in Production
Real attack data from PromptGuard production. Actual prompt injection attempts, jailbreaks, and data exfiltration attacks being blocked.
Introducing Red Team Testing: The Only AI Gateway with Built-in Adversarial Testing
How we built automated security testing directly into PromptGuard. Run 20+ attack vectors against your policies, get a security grade, and test before deployment.
Introducing PromptGuard: AI Security That Actually Works
A firewall for AI applications. Real-time threat detection, AI agent security, and enterprise features. Self-hostable and open source.