Runtime Protection for VMs, Containers, Kubernetes, and Serverless Workloads.
A secure cloud configuration is only part of the equation. Attackers target the workloads where applications run, data is processed, and business operations take place.
Virtual machines, containers, Kubernetes environments, and serverless functions remain prime targets for malware and runtime attacks. Configuration tools reveal exposure; CWPP detects threats inside workloads in real time.

Threat Detection
Real-time runtimeVulnerability Visibility
Continuous riskWorkload Monitoring
Visibility across allSecurity Enforcement
Unified policyWHY CONFIGURATION SECURITY ISN’T WORKLOAD SECURITY
Cloud security operates across configuration, identity, and workload layers. Cloud Workload Protection Platform secures the runtime layer, detecting threats and malicious activity that configuration and access controls cannot see.
Configuration security prevents exposure. Runtime security stops active threats. 63SATS delivers
both, providing unified visibility across cloud posture and workload security from a single platform.
CORE CWPP CAPABILITIES
Our vulnerabilities engine gives you full visibility into CVEs affecting your workloads and how they could be exploited, paired with detailed, actionable remediation steps, not just a severity score and a CVE number to research yourself.
Our network analyser maps every network layer and visualises segmentation with risk prioritisation, surfacing exactly where lateral movement paths exist between workloads before an attacker finds them first.
Continuously monitors all workload resources for performance and operational issues, ensuring your cloud environments remain in high-availability mode, and security monitoring that also protects uptime, not just protects against breaches.
Automatically scans workload configurations for security concerns and delivers actionable recommendations to improve posture, closing the loop between detection and the specific fix needed.
Tag applications, monitor their behaviour, and understand the specific risk each one represents to your environment, visibility scoped to what actually matters for that workload’s role and exposure.
Behavioural analysis and machine learning examine process activity, file system access, and system calls inside running workloads, flagging deviations from established baselines that indicate an attack already in motion.
No rip-and-replace. No additional headcount. No performance trade-offs. Deploy alongside what you have and immediately close the gaps your current stack cannot cover.
EC2, Azure VMs, GCE instances, continuous runtime monitoring across physical, virtual, and cloud-hosted server workloads, regardless of provider or region.
Scan Docker and Kubernetes workloads before deployment and continuously monitor runtime activity across dynamic, fast-scaling container environments.
Protect AWS, Azure, and Google serverless functions at runtime, including short-lived workloads missed by scheduled scans.