Know your cloud risk before attackers do

Gain full visibility into your cloud environment. We automatically discover every workload, application, and AI ecosystem running across your public cloud infrastructure — then analyze inbound, outbound, and east-west traffic flows to identify unprotected assets, segmentation gaps, and security blind spots. You get a single-pane view of your actual risk posture across AWS, Azure, and multi-cloud deployments.

Your cloud provider's native firewall may be giving you a false sense of security. We run simulated breach tests against your AWS or Azure firewall configurations using real-world exploit and malware samples — then compare their detection rates against enterprise-grade alternatives. Independent testing shows native cloud firewalls block less than 19% of exploits. We show you exactly where your perimeter fails and what it takes to close the gap.

If your organization is building or deploying AI applications — chatbots, copilots, internal models, or agentic workflows — your AI ecosystem is an attack surface. We assess your applications for prompt injection vulnerabilities, scan your models and datasets for malicious scripts and tampering, and run adversarial red-team simulations to uncover weaknesses before attackers do. Aligned to NIST AI 100-1 and OMB M-24-10 federal AI governance requirements.