Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI and automation are embedded in daily work. Copilots draft content and pull in customer context. Agents triage tickets, update records, and trigger workflows across Slack, Salesforce, Jira, and GitHub. In engineering, this acceleration shows up in scripts, CI/CD pipelines, and infrastructure automation that depend on secrets to ship and operate software.

Lean teams are under constant pressure to move faster: more SaaS, more automations, and more AI woven into daily work. People sign in more often, across more apps, on more devices, and they’re rewarded for speed, not caution.

Many organisations take a phased approach to deploying password managers, starting with IT and security teams and planning to expand later. This approach is often shaped by practical constraints such as budgets, licensing and the need to balance competing priorities. Partial cybersecurity coverage leaves organisations exposed to breach paths that are actively exploited.

Telehealth and remote work have become a major part of modern healthcare delivery. Clinicians, IT teams and third-party providers now access Electronic Health Records (EHRs) and billing platforms from home offices, mobile devices and distributed environments. As a result, healthcare organizations must secure access to Protected Health Information (PHI) beyond traditional on-premises environments.

There’s a moment every IT and security team recognises. You’ve done the hard work: rolled out SSO, tightened access policies, and moved sensitive tools behind stronger authentication. On paper, it looks like progress.

For security and IT professionals, the past decade has brought a series of tectonic shifts that have toppled old assumptions and created new opportunities. First, the SaaS revolution destroyed the paradigm of an IT-governed corporate network. Next, COVID-19 forever altered how and where work gets done. Then, the biggest shockwave of them all arrived: AI-based tools that are rewriting the very definition of “identity.”

As organizations rely more on Artificial Intelligence (AI) to power critical operations, the infrastructure supporting AI development and deployment is becoming a high-value target for cybercriminals. From model training and data pipelines to cloud workloads and APIs, AI operations rely on access to privileged credentials and critical systems.