Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Keeper Security, the leading zero-trust and zero-knowledge identity security platform, today announces the availability of a certified connector integrating Keeper Secrets Manager with Microsoft Azure Logic Apps. The connector, now published on the Microsoft Power Platform marketplace, enables enterprise teams to create and retrieve credentials at runtime directly within automated workflows without ever hardcoding sensitive values in flows.

In late July 2026, over 30 municipal water systems across Minnesota were targeted in coordinated cyber attacks that disrupted the Operational Technology (OT) used to remotely monitor and control water equipment. The attacks initially unfolded on July 26 and 27, striking multiple automated control systems across the state, including those in Plymouth, Braham and South St. Paul.

Every fall, school districts and universities across the country race to onboard thousands of new students, faculty and staff, provisioning accounts, issuing credentials and connecting a wave of new devices to institutional networks. It is a moment of organized chaos, and cybercriminals know it.

AI governance reduces security risk by enforcing least-privilege access, protecting the data and credentials AI systems handle and making every AI action auditable. This matters because most organizations deploy AI faster than they can govern it. Employees adopt unsanctioned tools, and autonomous AI agents are created under existing user identities. Each one adds unmonitored machine identities that expand your attack surface – the exact gap that governance closes.

Organizations are rapidly integrating AI into everyday business operations. Teams are using Microsoft Copilot and Gemini to summarize meetings, developers are accelerating software delivery with coding copilots and customer service teams are deploying AI-powered chatbots to improve response times. While these initiatives are viewed through the lens of productivity and innovation, they are also reshaping organizations’ identity environments in ways that frequently go unnoticed.

The main difference between AI governance and AI compliance is that AI governance is the internal framework an organization develops to manage AI responsibly, while AI compliance is how organizations demonstrate to external regulators that they’re adhering to applicable laws and regulations. These two terms get used interchangeably, but they solve different problems. With compliance alone, an organization can satisfy regulators without meaningfully controlling how its AI behaves.