TLDR IT 2026-05-22

Every CIO is facing the same reality: AI is making individuals faster, but the organization is not realizing the value. The problem isn't the models. It's the lack of orchestration connecting agents, data, governance, and people.Atlassian invites an expert analyst to share their practical steps for closing that gap in this upcoming webinar that covers:

• What you need for an AI-native foundation
• Why teams aren't seeing org-wide AI gains, and how to fix it
• How to go from data debt to agentic success

Register now →

Google is adding deeper AI features into Search, including an expanded AI-powered search box, Gemini 3.5 Flash in AI Mode, personal context from apps like Gmail and Photos, and agent-like workflows for tasks. This is another sign that enterprise search, personal productivity, and agent interfaces are collapsing into one surface.

Zscaler is acquiring Symmetry Systems to add data discovery, classification, and access-mapping capabilities that help track how AI agents interact with sensitive enterprise data. The deal strengthens Zscaler's push into AI security by adding more data-layer visibility to its Zero Trust platform.

Cisco is updating core certification tracks to add AI, automation, and infrastructure skills alongside traditional networking fundamentals. Modern network engineers now need to understand scripting, observability, and AI-driven operations in addition to keeping packets flowing.

AI is shifting from something you actively use to something that quietly works in the background, anticipating needs and delivering help in real time. Future AI will be always-on, context-aware, adaptive, and proactive, helping people without disrupting workflows. Success depends on earning trust by knowing when to help, when to stay silent, and protecting privacy.

The piece argues that MFA solves authentication at login, but does little once a session is active and trusted. It focuses on session hijacking, token abuse, and lateral movement as the post-login gap that identity teams now have to address with continuous verification and tighter session controls.

Salesforce is making Informatica's data integration, governance, and quality tools callable through APIs instead of tying them to traditional app interfaces. The move is designed to let developers and AI systems access governed enterprise data services directly in workflows and automations.

Hitachi announced a strategic partnership with Anthropic to strengthen its “Lumada 3.0” initiative by leveraging Anthropic's frontier AI capabilities. The collaboration aims to advance safe, real-world deployment of physical AI by combining Hitachi's domain expertise with Anthropic's AI technology.

The piece breaks down how teams can apply role-based access control to Terraform workflows so infrastructure changes are scoped by role instead of broad admin access. It's a practical look at reducing privilege creep in infrastructure-as-code environments.

Two new workforce research reports (Hack The Box and ISC2) say enterprises are accelerating AI security training and reshaping cybersecurity staffing priorities amid emerging AI-driven threats. Key concerns include prompt injection, model exploitation, agentic AI hijacking, and AI-powered social engineering, while respondents also view AI as a technology that can improve security.

1Password explains its security model for end-to-end encryption, where vault data is encrypted on the user side with keys the company does not hold, making customer data unreadable even from its own servers.

Microsoft refreshed its Surface for Business lineup with newer Intel chips, AI-ready NPUs, privacy features, and enterprise manageability upgrades, but starting prices push the devices further into premium territory.

Google is consolidating its AI coding tools under Antigravity, bringing its IDE, CLI, SDK, and agent tooling into a single platform for developers building and managing AI-assisted software workflows.