#llm-security
13 posts tagged with #llm-security
Every article below is hand-written, technically reviewed, and focused on llm-security. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
Cybersecurity Verify GGUF Model Hashes Supply Chain [2026]: 10 Steps
A team-ready workflow to verify GGUF integrity: compute SHA256, require signed manifests, handle mirrors safely, scan sidecars, and ship updates via an internal registry.
Cybersecurity How to Implement Field-Level Redaction for RAG Pipelines [2026]
An auditor-friendly RAG privacy pattern: deterministic redaction, optional reversible tokenization, TTLs, deletion propagation, and a leakage test suite in CI.
Cybersecurity LLM Supply Chain Security Checklist: Lock Down Agents [2026]
A CI-ready checklist to treat models, MCP servers, tool plugins, and prompt packs as real dependencies. Pin, sign, attest, sandbox, and monitor before your agent ships malware.
Cybersecurity How to Do Prompt Injection Regression Testing [2026 CI]
Your prompt-injection evals are probably overfit to cute synthetic prompts. Here’s a CI-ready regression suite that still catches indirect injection: seed corpora, adversarial transforms, canary secrets, and hard fail gates.
Cybersecurity Agent-Specific Attack Surfaces Security [2026]: What AppSec Misses
Agents don’t just “generate text”. They read files, browse, call tools, and remember things. That breaks classic AppSec threat models. Here’s the agent-native one—and the mitigations you can actually ship.
Cybersecurity AI Agent Memory Exfiltration: Kill Chain + 5-Step Hardening [2026]
Claude's memory was silently exfiltrated to an attacker's server with zero user warnings. Here's the full kill chain, which memory architectures are vulnerable, and a 5-step hardening checklist grounded in OWASP LLM Top 10 2025.
Cybersecurity AI Agent Threat Model: 7 Attack Vectors [2026]
Prompt injection is just vector #1. Here's the full AI agent attack surface map — tool poisoning, memory injection, orchestrator hijack, Denial of Wallet, and more — with a sprint-ready threat matrix.
Cybersecurity The Complete Guide to AI Security in 2026
AI and LLM security in 2026 spans prompt injection, supply chain attacks, agent control flow vulnerabilities, and model misuse. This complete guide maps every major threat vector and links to 26 in-depth breakdowns so you can defend your AI systems today.
Cybersecurity AI Agent Security Attack Surface Map [2026 Checklist]
The first developer-friendly attack surface map combining OWASP's Top 10 for Agentic Applications, Cisco's MemoryTrap disclosure, and June 2026 red-teaming benchmarks showing 70% attack success rates — with a printable security checklist.
Cybersecurity Advanced Prompt Injection Techniques 2026: 7 Attack Chains Beyond OWASP #1
Prompt injection graduated from academic curiosity to active exploit — with CVEs filed against GitHub Copilot, Claude Code, Cursor, and AWS Kiro in a single month. Here are the 7 advanced attack chains researchers are tracking and the only defense architecture with provable security.
Cybersecurity Indirect Prompt Injection in AI Agents: 10-Step Red-Team Checklist [2026]
Every major AI coding agent shipped with exploitable indirect prompt injection vulnerabilities in 2025. Here's the red-team checklist to find them in your own pipeline before attackers do.
![Vibe-Code Security Nightmares Nobody Warns About [2026]](https://img.kunalganglani.com/images/vzekdneq/production/cb128a771b8d2517230c7a80f5efd8373a68511f-1200x675.webp?auto=format&fit=max&q=75&w=600)
Cybersecurity Vibe-Code Security Nightmares Nobody Warns About [2026]
63% of AI-generated functions ship with a security vulnerability. Here's the OWASP-mapped breakdown of what vibe-coded apps get wrong — and the audit checklist that catches it before your users do.
Technology Prompt Injection in 2026: Still OWASP's Number One LLM Vulnerability
Prompt injection has held the #1 spot on OWASP's LLM Top 10 across every edition. Here's why it's unsolvable, how agentic AI made it worse, and what developers actually need to do about it.