AI Agents in Brokerage: Innovation at Speed, Governance at Core

In conversation with Jayakrishnan Saisdharan, Executive Director and Chief Information Officer at Geojit Financial Services, we…

Atlassian Introduces Agents in Jira to Drive Human-AI Collaboration at Enterprise Scale

Atlassian Corporation, a leading provider of team collaboration and productivity software, today announced the open beta of agents in Jira, bringing AI agents right where teams plan and track work. With this new capability, teams can assign work to Atlassian Rovo and third-party agents in Jira, iterate with agents in comments, and embed them directly into their workflows. As a result, agent-driven work is no longer detached and fragmented but visible, coordinated, and integrated into key business processes. Atlassian also announced new investments in Model Context Protocol (MCP), strengthening its position as an open ecosystem that lets customers choose the right agents and tools for their business. “Work is changing fast: people are now orchestrating across agents, tools, and cross-functional teams. Without clear coordination that can easily turn into chaos,” said Tamar Yehoshua, Chief Product and AI Officer at Atlassian. “We’re focused on helping teams turn that complexity into real productivity. With these new capabilities, we’re bringing agents into the tools and workflows customers already love and trust, and giving them an open, governed way to make those agents part of the team at enterprise scale.”Agents in Jira: More Work, Less Chaos With agents in Jira, now in open beta, teams can turn agents from scattered one-off experiments into accountable teammates by: Because they operate inside Jira’s existing structures, agents respect project configurations, permissions, audit trails, and approval flows, so teams can adopt AI with confidence. An Open Ecosystem for AI Teammates, Powered by MCP As customers bring new agentic capabilities onto their teams, MCP is a standard that gives AI agents a consistent way to access tools, data, and workflows. Atlassian is investing deeply in this open ecosystem in order to operationalize AI within existing tools teams already use. Adoption from Atlassian’s largest customers shows that enterprises drive nearly 50% of all Rovo MCP Server usage, and customers on paid Atlassian editions drive 93% of usage. Building on this momentum, Atlassian is introducing two major releases: Turn AI Agents Into Accountable Teammates Enterprises ready to orchestrate work across humans and AI agents can:

Tenable Research Reveals Growing AI Exposure Gap Fueled by Supply Chain Risks and Lack of Identity Controls

Tenable, the exposure management company, today released its Cloud and AI Security Risk Report 2026. The…

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In this episode, we dive into how AI is reshaping cybersecurity from automation to autonomous action.…

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As per the Capgemini Research report, trust is collapsing in the age of autonomous AI and…

Operant AI Discovers “Shadow Escape”: The First Zero-Click Agentic Attack via MCP

 Operant AI, the world’s only Runtime AI Defense Platform, today disclosed the discovery of Shadow Escape,  a powerful zero-click attack…

From Cost Centers to Innovation Engines: Redefining India’s GCC Playbook

India’s Global Capability Center (GCC) landscape is undergoing a fundamental transformation. What began as a cost…

Zendesk Unveils Powerful New AI Capabilities within the Resolution Platform to Accelerate Service at Scale

Zendesk, the world’s leading AI service provider, today announced major breakthroughs in AI innovation at its…

Proofpoint Secures Collaboration and Data in the Agentic Workspace with Industry-First Innovations

Proofpoint, Inc., a leading cybersecurity and compliance company, today announced four major innovationsdesigned to secure the…

Rethinking AI: How CTO Is Turning Hype into Hands-On Innovation

I believe AI is not about buzzwords or borrowed expertise; it’s about rolling up our sleeves,…