Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

TL;DR: In the age of frontier AI models, vulnerability discovery and exploit development are scaling faster than human defenders can manually respond. Security teams already face growing CVE volumes, shorter exploitation windows, and manual workflows for researching vulnerabilities, creating protections, validating them, and preparing them for deployment. As attackers weaponize vulnerabilities faster than organizations can patch them, time-to-protect is becoming a critical security metric.

As organizations advance toward Security Service Edge (SSE), secure access to private applications has become a practical priority. Executives rightly expect these programs to improve security while increasing agility. Yet many initiatives slow down at the same point: extending access to private applications. The work often depends on firewall exceptions, routing changes, and cross-team coordination, followed by tightly controlled maintenance windows.

As organizations continue to adopt more applications and digital services, managing user authentication across multiple systems has become increasingly challenging. When user accounts are distributed across multiple platforms, provisioning and revoking access can become both time-consuming and difficult to manage. Ultimately, this increases the risk of unauthorized access and unmanaged credentials.

It has been a week since we announced Forward Predict at our Innovation Day broadcast, and I'm still taking it in. Since the inception of networking, the industry has been working without a safety net, making changes in the production network without knowing their impact beforehand. The result has been outages and security breaches. This wasn’t a lack of diligence, it was because there was no way to know, with certainty, what a change would do to the production network before it was pushed.