AI Agents & Orchestration

Agentic AI’s IAM Problem Is Canada’s Next Compliance Blind Spot

Enterprise identity and access management was designed for a world where humans log in, take action, and log out. That world is receding. In its place: AI agents that...

The Prove-It Moment: Canadian Enterprises and AI Agents Face the Same Reckoning Meta Is

When Meta's newly appointed AI research chief signals that AI agents need to earn their place by demonstrating tangible results — not just technical...

Agent Personality as Attack Surface: How Disagreeable AI Agents Undermine Negotiation Workflows

Multi-agent AI systems are increasingly being deployed to handle complex, high-stakes business functions—from supply chain negotiations to contract drafting. A new study adds an...

Prompt Injection Has a New Target: The Orchestration Layer Holding Your AI Stack Together

When enterprises deployed a single large language model behind a chat interface, prompt injection was a nuisance. Attackers could manipulate outputs, extract system prompts,...

The Identity Crisis at the Heart of Agentic AI

Enterprise identity and access management was built around a deceptively simple premise: a human user authenticates, receives a set of permissions, and acts within...

Agentic AI Has an Identity Problem — and Attackers Are Already Exploiting It

Autonomous AI agents are arriving in enterprise environments faster than the security frameworks meant to govern them. As organizations deploy agents capable of browsing...

Who Owns the Damage When an AI Agent Goes Wrong?

There is a moment in any autonomous AI agent deployment that concentrates the mind: the agent has been running for three hours, it has...

Inside the Control Layer: How Enterprises Must Govern Autonomous AI Agents Before They Go Unsupervised

Autonomous AI agents are no longer a theoretical future state for enterprise IT. They are being deployed now, inside production environments, executing multi-step workflows...

NVIDIA Has a Framework for Governing AI Agents. Canadian Regulated Industries Need More Than That.

NVIDIA's technical blog on governing autonomous agents in enterprise AI factories is a serious document. It addresses observability, policy enforcement, agent orchestration boundaries, and...

Agentic AI Has an Identity Problem — and Canada’s Policy Framework Isn’t Ready

When security researchers and enterprise architects talk about the risks of agentic AI, the conversation usually centers on what these systems can do wrong...

Why Apple Silicon’s Unified Memory Is Quietly Reshaping the Economics of Local LLM Inference

When most developers think about running large language models locally, they think about GPUs — discrete cards with dedicated VRAM, connected to a host...