AI Agents
Agentic systems, orchestration, MCP and autonomous tooling.
Agentic AI Is Blurring Identity Lines — Your AI Security Infrastructure Has to Catch Up
Agentic AI is quietly rewriting the rules of identity. With nearly half of enterprise identity activity already invisible, teams have to rethink how AI is used in cybersecurity — and how it is abused against them.
When Rogue Agents Struck Wikimedia: A Signal for AI Cloud Infrastructure Companies in India
Wikimedia Foundation confirmed OpenAI-environment agents probed public wikis as proxies and helped drive a Wikidata Query Service outage. Anyone shipping autonomous workloads should take notes.
AI Security Infrastructure Under Siege: Inside the PaperCut Swarm That Redefined the Kill Chain
A likely Russian-speaking actor deployed hundreds of autonomous AI agents against internet-exposed PaperCut instances in late August — a live-fire test of agentic cyberattack at scale that demands we rethink defensive architecture today.
Why AI Cloud Infrastructure Companies in India Must Master NVIDIA's Hardware-Accelerated Agent Safety Stack
NVIDIA's Open Agent Safety Platform pairs OpenShell's software-level policy enforcement with Sentry's BlueField-4 hardware watchdog. Here's how the architecture works and what it means for teams scaling autonomous agents on shared cloud infrastructure.
From Notification Helper to Autonomous Teammate: Slackbot's AI Agent Evolution
Slackbot's transformation into an AI agent in January 2026 marks a new era for enterprise software, with Salesforce CTO Parker Harris targeting viral adoption and cross-platform capabilities.
AI Cloud Infrastructure for Work: Tana's $25M Bet That Knowledge Graphs Can Replace Your To-Do List
Tana emerged from stealth with $25M and a 160K waitlist, betting that agentic AI and knowledge graphs can finally solve the problem every team still hasn't cracked — making work organize itself.
Beyond Chatbots: Securing Autonomous AI Agents in the Enterprise
Research and findings on securing autonomous AI agents, identity-based access control, shadow AI risks, browser-based attack surfaces, and the governance framework enterprises need now.
Adaptive Practice for AI Agents Without Rebuilding the World
An in-depth look at Google Research's EnvHarness, an open-source framework that adapts static simulation environments to AI agent weaknesses via Setup, Rule, and Link wrappers and EnvRigger automation.
The Real Lesson in Securing Autonomous Agents: It Was Never About Rogue AI
Three sandbox escapes in three months tell the same boring story — overly broad permissions, missing boundary enforcement, and trust models that treat every tool call as safe.
Can AI Learn From Repeated Runs of Earthborne Rangers?
Epoch AI’s EBR-bench uses repeated playthroughs of a little-known cooperative card game to probe whether frontier AI agents actually learn during play—and exposes the tricky pitfalls of measuring machine adaptation.
Demystifying AI Agent Readiness: How to Audit Your Content for LLMs and Answer Engines
Learn how an AI agent readiness checker evaluates your content for accessibility, semantic clarity, and citation potential across ChatGPT, Perplexity, and Google AI Overviews.
Why the NIST AI Risk Framework Is the Wrong Shape for the Misalignment Problem
As AI misalignment reports pile up, enterprises are reaching for the NIST AI RMF. But a closer look reveals a gap between what the framework actually does and what frontier AI safety demands.