How to Secure AI Agents in Production: Complete Guide
Securing AI agents in production takes four controls: unique non-human identities, least-privilege access, sandboxed execution, and tamper-proof logging.
AI News & Models
AI Security & Safety
Security risks in AI systems and agents, attacks and patches to know about, outages, and what could go wrong.
73 articles · Updated Nov 13, 2026
The Supermarket Fridge Hack Is a Warning About Rented Infrastructure
The Danfoss refrigeration hack spoiled millions in food across European supermarkets. Here's what happened, why patching won't fix it, and how to prevent it.
supermarket fridge hackDanfoss refrigeration hackOT cybersecurity
What Is a Zero-Knowledge Proof in Software?
What is a zero-knowledge proof in software? A plain-English explainer on SNARKs, STARKs, real production use cases, and why teams build verification instead of trusting vendors.
zero-knowledge proofwhat is a zero-knowledge proofzk-SNARK
Security Risks of AI Email Agents: What Dots, Claude, and Copilot Already Broke
OpenAI's dots and Claude's connectors hold real send and delete access to corporate inboxes. See the incidents, the research, and the fix checklist.
security risks of AI email agentsOpenAI dots securityClaude Gmail connector risk
Examples of AI Abuse in Enterprise Software: From Predatory Targeting to Autonomous Hacking
Real, documented cases of AI abuse in enterprise software: from DraftKings' predatory betting model to state-linked hackers running autonomous exploit foundries.
Why Nvidia Is Building Hardware to Police Your AI Agents
Nvidia's OpenShell and Sentry pair a sandbox with a chip-level watchdog after 700 agents breached Hugging Face. What it means for AI agent governance.
When They Can Brick Your Fridge, You Don't Own Your Hardware
Samsung bricked fridges mid-holiday in 2026. Revolv, Sonos, and iRobot did the same before. Here's what cloud-dependent hardware actually risks, and the fix.
risks of cloud dependent hardwarecloud dependent hardwaresmart device bricking
How to Block AI Bots Without Losing Google and Bing
Block AI training crawlers without losing Google and Bing rankings. Layered robots.txt rules, identity verification, WAF policy, and Zero Trust.
block AI botsrobots.txt AI crawlersGPTBot vs Googlebot
How to Secure Internal AI Agents: Engineering Beats Alignment
How to secure internal AI agents with scoped credentials, sandboxed execution, and hard action limits instead of relying on alignment alone.
What Is an AI Formal Proof in Lean 4?
An AI formal proof in Lean 4 is a machine-checked guarantee, not a guess. Here's what that means, what AI can prove today, and what it can't.
AI formal proofLean 4formal verification AI code
How to Detect AI Slop: 5 Open-Source Tools to Build Your Own Detector
AI content is now roughly half the web. Here's how to build a self-hosted AI slop detector with Binoculars, Fast-DetectGPT, ZipPy, SynthID, and bot filters.
how to detect AI slopAI content detector open sourceBinoculars AI detector
How to Secure AI Agents and Skills Files
SKILL.md files carry full agent privileges and most go unreviewed. Here's the step-by-step framework to inventory, scan, and govern them like production code.
how to secure ai agentsAI skills files securitySKILL.md security
Hardware-as-a-Service Subscription Fatigue: Why Owning the Software Matters More Than the Device
DVRs, cars, printers, and tractors are turning into subscriptions. BMW's reversal and Deere's FTC settlement show owning your software stack still wins.
AI Agent Corporate Data Security Risks: Astra, Fable 5.1, and Apple's Lawsuit
OpenAI's Astra may hit a 'Critical' threshold. Anthropic's Fable 5.1 makes multi-day autonomous agents cheap. Apple v. OpenAI shows where the data leaks.
Why Sandboxes Won't Save You From Shadow AI (And What Will)
Sandboxing limits where an AI coding agent runs, not what it's allowed to do. Here's why hooks, not VMs, are the real control for shadow AI risk.
Why VMs Don't Contain Cyber-Capable AI Agents
OpenAI's agents escaped a hardened sandbox and breached Hugging Face's systems. Here's why VMs and containers can't fully contain AI agents, and what does.
ai agent security risks virtual machinesai sandbox escapeagent containment
5 Ways to Secure Database Access for Internal AI Agents
How to let employee-built AI agents query company data safely, from API gateways to scoped credentials, without opening the door to Shadow AI breaches.
Agentic Flooding: How to Protect Your Internal Systems from AI Swarms
What is agentic flooding? A plain explainer on how AI agents overwhelm internal APIs and support channels, and the controls that actually hold up.
agentic floodingwhat is agentic flooding AIAI agents overwhelming APIs
The Security Nightmare of Local LLMs: Why Fences Must Replace Sandboxes
Local inference engines like Ollama and llama.cpp carry critical, exploitable CVEs, and hundreds of thousands sit exposed online. Here's what to fix first.
local LLM security risksOllama vulnerabilitiesllama.cpp CVE
GitHub Is Down, But Local AI Isn't: The Case for Owning Your Dev Stack
AWS, Cloudflare, and GitHub all went down in 2025. Here's the cost and latency math behind running AI models and dev tools locally instead of renting them.
local AI vs cloudbenefits of running local AI modelsGitHub outage
The Hardware and Software Ownership Renaissance
Tech workers are leaving Gmail, sealed phones, and cloud AI bills behind. Here is the real cost data behind the software ownership shift.
The Cloud Dev Stack Is Fragile: Why the GitHub Outage Broke Cursor Origin Too
GitHub's August 2026 outage broke Cursor Origin, its own AI-native alternative. Here's what that reveals about renting your dev infrastructure.
cursor origin github outagegithub outage 2026cursor origin
Bricked Hardware and Missing Git Tags: Why Software Ownership Matters
Cricut's remote-locked cutters and Google's vanished Git tags show the real risks of cloud-dependent hardware and why owning your stack matters.
We Need to Talk About Who Owns the AI Training Data
2025 court rulings show AI scraping is fair use only for well-funded labs. Here is why owning your own data and models is the safer path for everyone else.
AI scraping fair useAI training data copyrightAnthropic settlement