21 related articles

Based on real data from Snyk's 4,800 enterprise customers, a deep analysis of three AI agent security pain points: automated attacks, untrusted outputs, and governance blind spots.

AI Agents keep causing database deletions and data leaks. Snyk proposes three ADS defense lines: trusted code generation, supply chain protection, and behavioral governance using hooks and deterministic guardrails.

Deep dive into how open-source project Aegisora provides runtime security controls for AI agents, including malicious behavior interception, least-privilege API access, real-time PII redaction, and audit logs.

PISIGuard is an open-source privacy tool that automatically detects and anonymizes names, phone numbers, and IDs before they reach AI chatbots like ChatGPT, preventing personal data leaks to cloud servers.

Deep dive into LangSmith Gateway's core features including cost control, rate limiting, PII redaction, coding agent integration, and open-source model access for enterprise AI infrastructure.

Halo is a local real-time deepfake detection tool that identifies AI-synthesized faces during Zoom, Teams, and Google Meet video calls to prevent face-swapping fraud.

Privent 2.0 provides reversible data masking for n8n AI Agent workflows via tokenization, supporting PII protection, secret security, and fully offline local deployment.

Privent 2.0 provides reversible data masking for n8n AI Agent workflows via tokenization, supporting PII protection, secret security, and fully offline local deployment.

Deep dive into an 11-node Agentic RAG agent built with LangGraph, featuring 6-way intelligent routing, hallucination guards, PII masking, circuit breakers, and zero-cost deployment.

lx is a set of 72 single-purpose CLI tools running on local Ollama models — no API key, fully offline. Supports git commit generation, log debugging, and more. Rust binaries with <15ms cold start; 7–8B models work great.
Agnost AI: How to Automatically Extrac…
Agnost AI, a YC-backed startup, automatically extracts user feedback and product insights from AI Agent conversations. Deep dive into its positioning, technology, and challenges.
LLM Evaluation Tools Compared: An In-D…
Deep comparison of LangSmith, Langfuse, Phoenix, Braintrust, and Galileo across self-hosting, open-source licensing, and real-time guardrails to find the best LLM eval tool for production.

Databricks tech lead Sandy shares a five-pillar framework for production-grade AI Agents—evaluation, observability, data foundation, orchestration, and governance—with a £85K retail banking failure case to bridge the demo-to-production gap.

Google Chrome Hybrid Inference reaches GA with the new initializeDeviceModel() explicit initialization method. Learn about the architecture, API changes, and developer impact.
Industry InsightsPractical strategies for AI product development: why not to train models from scratch, when to use APIs vs. fine-tuning, building product moats, and the full path from evaluation systems to commercialization.
Industry InsightsLangChain unveils a full-lifecycle toolchain for Agent development at Interrupt, covering Deep Agents 0.6, SmithDB, Context Hub, LLM Gateway, and LangSmith Engine.
Deep DivesDeep analysis of two MCP ecosystem breakthroughs: code execution compresses tool definitions from 150K to 2K tokens, and Agent Skills enable capability packaging and reuse.
Expert OpinionsIn-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
Deep DivesDeep dive into the ARS academic framework: how 35 AI Agents collaborate on literature review, paper writing, and quality assessment with a ten-step workflow, multi-layer quality control, and academic integrity safeguards — all for just $4-6.
Deep DivesDeep dive into the AI Guardrails Index: the most comprehensive LLM safety evaluation framework covering PII protection, jailbreak defense, harmful content filtering, and its open-source design.