19 articles tagged
Enterprises are deploying AI agents fast, but 88% had an agent-related breach last year and only 21% have mature governance. eCorpIT's AI agent security service closes that gap with assessment, red teaming, guardrails
CVE-2025-3248 gave unauthenticated attackers code execution on Langflow, and it was not the last. How to harden Langflow, Flowise, and n8n: patching, network isolation, gateway auth, secrets, and sandboxing for AI
Google's Lighthouse 13.3 added an agentic browsing category on May 7, 2026, checking llms.txt, the WebMCP protocol, the accessibility tree and layout stability. Seven fixes to make your site AI-agent ready.
Unit 42 found AI accelerated attacks 4x in 2026, with the fastest intrusions reaching data in 72 minutes and identity behind nearly 90% of breaches. Here is what changed and how CTOs and security leaders should respond.
The majority of enterprise AI agent pilots never reach production, and Gartner expects over 40% cancelled by 2027, mostly for cost and governance reasons, not model quality. Here is how eCorpIT builds agents that ship
Microsoft's Service Agent reached general availability on 30 June 2026, with Sales Agent alongside. Here is what the Dynamics 365 and Copilot agents do, what they cost, and when to build instead.
Most AI agent projects fail on value, security and cost, not on the model. Here are five engineering lessons CTOs learn the hard way in 2026, backed by Gartner, MIT and OWASP data, from scoping ROI to controlling token
Building production AI agents taught three lessons the hard way: reliability comes from architecture, the model layer is a commodity you will swap, and evaluation is most of the work. Apple's third-generation Foundation
Most AI agent projects die between pilot and production. Five engineering delivery lessons for teams shipping production AI in 2026: scope narrow, fix the data first, make evaluation the plan, keep the model swappable
Most enterprise AI never reaches production, and much that does shows no measurable return. Five delivery lessons tied to what breaks between a working demo and a system real users trust in 2026.
Fewer than 15% of AI agent pilots reach production scale, and aggregate success sits near 57%. Five engineering lessons on evals, context, reliability, governance and token cost for founders shipping agents in 2026.
MIT's 2025 research found 95% of generative AI pilots deliver no measurable return despite $30-40 billion in spend. These seven engineering lessons, drawn from eCorpIT's delivery work, separate the AI projects that
Most enterprise AI agents never reach production, and quality kills a third that do. Five hard-won lessons from shipping production AI agents: scope, harness, observability, guardrails and human oversight.
JPMorgan runs 450+ AI use cases and IBM's AskHR contains 94% of queries, yet Gartner expects 40% of agentic projects canceled by 2027. Seven agent use cases that reached production in 2026, and three that stalled.
Gartner expects over 40% of agentic AI projects to be canceled by 2027, and production agents succeed about 56.6% of the time. Three engineering lessons from shipping enterprise AI agents in 2026.
AI customer service returns about $3.50 per $1, but a third of rollouts fail. Seven AI agent use cases driving real CX ROI in 2026, from autonomous resolution to churn prevention, each with its benchmark.
Gartner expects conversational AI to cut $80 billion in agent costs in 2026. Five conversational-agent patterns that cut support costs, the per-resolution economics, and where cost-only automation breaks.
AI agents are reaching production faster than the controls around them. The seven governance layers enterprises need before scaling agents in 2026, mapped to the EU AI Act, NIST, OWASP and DPDP.
The average enterprise runs 12 AI agents in 2026 and IBM expects over 1,600 per large company by year-end, yet only 18% keep a complete inventory. A practical guide to governing multi-agent sprawl.
