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AI Security & Agents

What changes when software acts on its own. AI agent identity, prompt injection, model risk and the controls security teams need before agents reach production.

148 posts, newest first. Page 2 of 5.

Tags in this track:AI SecurityAI Agent SecurityAgentic AIMachine IdentityPrompt InjectionLLMAIMCP

Machine Identity

When AI Hackers Meet Machine Identity: The Ignored Attack Surface

The Salesloft Drift breach hit 700+ companies with stolen OAuth tokens and never touched a password. Machine identities now outnumber humans 80 to 1, and AI-powered attackers are harvesting them at machine speed. Here is why human-shaped IAM cannot protect AI agents, and what to fix in 90 days.

Agentic AI

The Identity Mesh: Federated Trust for Multi-Agent AI

Agents can already prove who they are. What no standard has cleanly solved is passing scoped authority down a multi-hop chain across organizations. Here is the real state of agent identity in 2026, minus the blockchain hype.

Machine Identity

The Identity Orchestration Layer for Hybrid AI

Machine identities now outnumber humans by 45 to 1 or more, and every AI agent widens the gap. Here is what an identity orchestration layer is, in plain terms, and how to build one that governs humans, workloads, and agents from a single control plane.

Opinion

AI Appreciation Day: An Operator's Thank You

It is AI Appreciation Day. From an operator's seat, here is what AI actually changed: it collapsed the distance between an idea and a shipped product, and rewrote how customers discover companies.

AI (Artificial Intelligence)

LLM vs SLM: What They Are, How They Work, and When to Use Each

Large language models get the headlines, but small language models are quietly winning most real enterprise workloads on cost, speed, and privacy. Here is what SLMs actually are, how they work, and a clear framework for choosing between an SLM and an LLM.