Gartner

Gartner doesn’t usually traffic in alarm. When the world’s most influential tech analyst firm publishes a forecast saying a quarter of enterprise GenAI applications will face recurring security breaches by 2028, it’s worth reading carefully. The new prediction: 25% of all enterprise GenAI applications will experience at least five minor security incidents per year by 2028, up from just 9% in 2025. And the culprit the analysts are pointing to most explicitly isn’t prompt injection or model vulnerabilities — it’s MCP, the Model Context Protocol, and the broader architectural patterns of agentic AI. ...

Gartner predicted it in June 2025, and 2026 is making it look increasingly prescient: more than 40% of agentic AI projects will be canceled by end of 2027. The stat resurfaced this week in a TechRadar enterprise AI analysis, and it’s worth examining why it still carries weight — and what’s actually killing these projects. The Prediction, Revisited Gartner’s June 2025 report identified three primary failure modes for enterprise agentic AI projects: ...

When Gartner publishes a first-ever Market Guide for a new technology category, it’s a signal that the category has crossed from experimental to enterprise-real. This February, Gartner did exactly that for Guardian Agents — AI systems designed to oversee, govern, and secure other AI agents. The broader coverage is arriving now, following a Hacker News article this week. The Headline Number (With Important Context) The most-cited figure from the report: ~70% of enterprises are already running AI agents in production. ...

The Model Context Protocol has had a remarkable adoption curve — from Anthropic specification to industry standard in under 18 months. But widespread MCP adoption has exposed a control gap that the ecosystem is now racing to address: how do you govern what AI agents can actually do once they have tool access? Enter the MCP Security Gateway — a new product category that’s emerging from multiple vendors simultaneously, with Gartner’s endorsement giving it enterprise credibility on day one. ...

Two major enterprise AI reports landed on the same day — and they’re telling the same uncomfortable story: organizations are racing to deploy AI agents, but the majority can’t tell you whether those agents are actually delivering value. ModelOp’s 2026 AI Governance Benchmark Report and Gartner’s Data & Analytics Summit Day 2 both focused heavily on agentic AI adoption in the enterprise — and both landed on the same core finding: the tools are proliferating, but the measurement and governance infrastructure hasn’t kept pace. ...