Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As enterprises embrace AI, identity has become the defining security challenge. Every new database, Kubernetes cluster, SaaS app, and now every AI agent introduces yet another identity that must be governed and protected. At the same time, attackers are weaponizing AI to accelerate identity-based threats, exploiting fragmentation and credential sprawl to devastating effect.

Security teams spend hours stitching together logs from disconnected systems during investigations. Learn how to get clarity in minutes by tracing identity signals across everything in your stack.

As companies embed AI models into their applications, they face risks that traditional security tools weren’t designed to catch, such as prompt injection, data leakage, model poisoning, and shadow AI. Addressing these threats requires a new class of security tools built specifically for AI specific risk.

SSL Certificates have always been a pain in the butt. From the magical OpenSSL incantations to generate a CSR to the various formats that each webserver requires. Remembering what hardware needs which certificates. Managing scheduled renewals and runbooks for which file goes where. Screw anything up and your site is “Not Secure”. And now Apple wants us to do it every 47 days. Remember when we had HTTP-only websites? Or when certificates lasted three years? Then one?