Map Runtime Evidence to the Industry Frameworks
Assess code, cloud, Kubernetes, image and runtime controls continuously against PCI DSS, SOC 2, NIST and CIS Benchmarks, so evidence reflects how workloads behave today.
Explore ComplianceAssess code, cloud, Kubernetes, image and runtime controls continuously against PCI DSS, SOC 2, NIST and CIS Benchmarks, so evidence reflects how workloads behave today.
Explore ComplianceTranslate vulnerabilities, threats and applied controls into potential financial exposure with the FAIR Risk Dashboard, and show how that exposure changes as controls take effect.
Explore Vulnerability ManagementApply the same runtime policy across public cloud, private cloud and on premises workloads, including environments brought together through an acquisition.
Explore Hybrid Multi Cloud Security




CTOAquasec Enforcers apply runtime policy inside each workload and record when each policy was evaluated, enforced or violated. Because that evidence comes from running workloads, auditors see controls operating in production.
Aquasec continuously assesses code, cloud, Kubernetes, image and runtime controls and maps the evidence to supported frameworks, including PCI DSS, SOC 2, NIST and CIS Benchmarks.
The FAIR Risk Dashboard uses FAIR based modeling to estimate potential financial loss from exploitability, likelihood of attack and workload impact. It shows how exposure changes as controls are applied, in terms risk committees and boards already use.
Aquasec denies the specific unauthorized process, file operation, network connection or privilege action rather than making workload termination the default response. Teams can start in audit mode, validate how workloads behave and move each workload group to enforcement once the policy is confirmed.
Secure AI lets security teams define which AI services and models are approved and flags unauthorized usage in running applications. It also inspects supported prompts for injection and sensitive data exposure, with no application SDK or code changes.