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CJChristian Johannsenbreakglass.hashnode.devSep 10 · 7 min read

Permissions vs. Policies in LLM Systems: What Matters Where

LLM agents call tools, read data, and act on behalf of users. Securing them depends on keeping two concepts apart: permissions and policies. A third element, prompt instructions, is often mistaken for

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JHJames Harmonhrafns-blog.hashnode.devAug 27 · 25 min read

Why Treating AI as Traditional Software Is a Security Mistake Waiting to Happen

Artificial Intelligence (AI) has moved from novelty to infrastructure remarkably quickly. Organizations are integrating large language models into applications, internal tools, customer-facing systems

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TFThe Flux Readthefluxread.hashnode.devAug 23 · 7 min read

RAG vs. GraphRAG for Enterprise AI Agents: Architecture, Data Governance, & Latency Bottlenecks

Standard Vector-based Retrieval-Augmented Generation (RAG) is hitting a hard operational ceiling in enterprise environments. While dense vector embeddings excel at semantic similarity search across un

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KSKamran Shaghaghicloudironguard.hashnode.devAug 17 · 8 min read

Defending the AI Perimeter: Mitigating OWASP LLM10 (Model Theft & Data Exfiltration) with GKE Dataplane V2 and eBPF

When enterprises adopt Generative AI, security teams often focus entirely on the application layer: sanitizing prompt inputs and filtering chat outputs. However, as autonomous LLM agents gain tool-cal

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AKAshutosh Kumaraskuma.hashnode.devAug 6 · 10 min read

Introducing the Guardrail Platform: guardrailmesh + guardrailprobe

Architecture, benchmark results, and the engineering decisions behind two open-source tools for AI safety enforcement and verification. Part of the Guardrail Platform Launch Series. Week 1: Runtime

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VNVũ Nhật Lâmblog.fiscybersec.comAug 6 · 20 min read

Agent Data Injection: Fooling AI Agents With the Data They Already Trust

Risk Summary You ask a web agent to summarize the reviews on a product page. A fake review planted by an attacker makes it click "Buy Now" instead, and an order goes through. No malware, no phishing,

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HSHarshal Shahdelvingwithharshal.hashnode.devAug 5 · 6 min read

AI Security Guardrails: Building Safe and Trustworthy AI Applications

As AI applications become more powerful, they also become more vulnerable to misuse, prompt injection, sensitive data leakage, hallucinations, and unsafe actions. AI Security Guardrails provide the pr

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AKAyesha Khanayeshakoder.hashnode.devAug 5 · 8 min read

I Built a Vulnerable LLM Bot and Caught My Own Judge Lying to Me

Breaking My Own Defenses: What Happens When You Actually Build the Thing Part 1 of this series mapped how prompt injection and jailbreaking get malicious instructions into a model and past its guardra

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MMaverickjyanshu.hashnode.devAug 3 · 11 min read

Model Context Protocol (MCP)

The open standard that gives AI agents a universal plug for the world's tools. What Problem Does MCP Solve? Before MCP, building an AI agent that could use external tools looked like this: Every ne

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MSManu Shuklaecorpit.hashnode.devAug 1 · 16 min read

Redact PII before it reaches the LLM: a 2026 DPDP-ready build guide

Redact PII before it reaches the LLM: a 2026 DPDP-ready build guide Summary. Once a prompt leaves your network for a hosted model, you no longer control where the personal data inside it is logged, ca

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#llm-security

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Trending tags this week

Permissions vs. Policies in LLM Systems: What Matters Where

Why Treating AI as Traditional Software Is a Security Mistake Waiting to Happen

RAG vs. GraphRAG for Enterprise AI Agents: Architecture, Data Governance, & Latency Bottlenecks

Defending the AI Perimeter: Mitigating OWASP LLM10 (Model Theft & Data Exfiltration) with GKE Dataplane V2 and eBPF

Introducing the Guardrail Platform: guardrailmesh + guardrailprobe

Agent Data Injection: Fooling AI Agents With the Data They Already Trust

AI Security Guardrails: Building Safe and Trustworthy AI Applications

I Built a Vulnerable LLM Bot and Caught My Own Judge Lying to Me

Model Context Protocol (MCP)

Redact PII before it reaches the LLM: a 2026 DPDP-ready build guide