Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Digital identities are under siege. The latest Osterman Research white paper offers a sobering discrepancy between maturity and reality. The study surveyed 126 US based professionals responsible for identity security across organizations with more than 500 employees. The findings reveal a growing gap between perceived maturity and actual readiness to combat identity-led threats.

AI is no longer just a future concern. It is deeply embedded in both offense and defense. With new exploits surfacing, massive open-source model use, and attackers growing more creative, the risks we warned about are now very real.

When I talk to customers about AI these days, I usually get two very different reactions. Some lean forward, excited about the promise: fewer alerts, faster response, maybe even lights-out SOC operations someday. Others lean back, uneasy about the risks: does this mean attackers will be able to run thousands of hacks at once, automatically? The truth is, both reactions are justified. We are at the start of a shift toward agentic AI. This is not the same as today’s AI copilots that wait for prompts.

Endpoint security offers immense value to organizations looking to harden their attack surface and reduce overall risk. But endpoint security has evolved considerably over the decades, and not all endpoint security is created equal. Aurora Endpoint Security delivers market-leading AI-driven prevention, detection, and response, stopping threats before they disrupt your business.

With hybrid work, cloud applications, and distributed teams now the standard, organizations face a critical challenge: how to deliver secure, seamless access to both cloud-hosted and private applications without relying on outdated remote user VPNs or complex hardware.