Industry rhetoric around agentic AI has outpaced the underlying infrastructure organizations actually have in place. As businesses try to move from experimentation into core operations, the readiness gap is becoming harder to paper over — and more expensive to ignore. Read more
Every enterprise identity system ever built assumed a human was logging in. AI agents break that assumption entirely — and CrowdStrike's move to build a dedicated identity provider for agents signals the infrastructure gap is now too large to ignore. Read more
Wonderful AI just raised $550M at a $5B valuation, backed by Insight Partners, Salesforce, and Bessemer. That kind of institutional conviction doesn't just validate a company — it signals something larger about where autonomous agents are headed. Here's what the signal actually means. Read more
Autonomous agents now read, write, and move corporate data faster than any human attacker ever could. That velocity isn't just a security problem — it's a governance problem. Here's what the shift means for any business running AI agents at scale. Read more
Enterprises spent decades refining controls for human employees. Now they're managing a second workforce with no badge number, no paycheck, and no track record to audit. The governance gap that creates isn't a future problem — it's already showing up in production systems. Read more
Application-level guardrails catch bad prompts. They don't stop a hallucinating agent from misusing a legitimate credential. Here's why agentic AI security requires three distinct architectural layers — and why most enterprises are underinvesting in the most important one. Read more
Every agent action reviewed by a human sounds rigorous. In practice, it's a throughput killer — and it trains teams to approve without reading. The smarter model routes oversight to the decisions that actually warrant it. Here's how that architecture works. Read more
OutSystems' new agentic loan platform unites customer-facing apps, governed AI agents, and deterministic workflows in a single system — sitting on top of existing banking infrastructure rather than replacing it. Here's what that design choice signals about where agentic AI is actually headed. Read more
AI capabilities are reaching production, but they keep stopping just short of the business processes where revenue and risk live. That last-mile gap is now the defining challenge for enterprise AI — and it demands a different question than 'which model should we use?' Read more
Enterprises are spending heavily on AI and seeing genuine capability gains — yet returns keep disappointing. The technology is arriving at the door but stopping short of the processes that actually move the needle. Understanding why that last mile is so hard to cross changes everything about how AI gets deployed. Read more