Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Trapped in silos. Drowning in noise. Valuable insights are lost in a flood of disconnected systems. Critical information rarely reaches leadership in a form that begs action.

Your external attack surface is growing — whether you’re aware of it or not. Cloud migration, IoT, AI, and remote work are all contributing to the rapid expansion of organizations’ external attack surfaces, and many security teams are struggling to keep up. According to a 2021 report, 69% of organizations admitted they had experienced at least one cyberattack that was initiated through exploiting an unknown or unmanaged internet-facing asset.

The increasing deployment of large language models (LLMs) in enterprise environments has created a pressing need for effective security testing methods. Traditional approaches, relying heavily on predefined templates, are limited in comparison to adaptive attacks — particularly those related to prompt injection attacks. This limitation becomes especially critical in high-performance computing environments where LLMs process thousands of requests per second.