Kubernetes metadata enhancements, RBI & SEBI compliance packs, host security improvements and more

June 10, 2024

As the regulatory landscape tightens, security becomes paramount. We've launched pre-built compliance packs for RBI and SEBI, simplifying compliance across cloud environments. Enhanced visualizations for host security and connected assets provide deeper insights for analyzing findings. Improved Kubernetes metadata management, on-demand scans, advanced anomaly detection, and more await you. Dive deeper and explore how Cloudanix's CNAPP secures your cloud journey.
Read on to see the details.

Revised Connected Assets View

This release revises the Connected Assets view to enhance the usability and consume-ability of Assets, their related assets, metadata, and Attack Path all in one place. This enriched context assists customers in prioritizing more effectively.

Host Security Improvements

The enhancements in visualizations and the introduction of Top 10 lists for Host Security Events & Vulnerabilities allow customers to analyze findings more effectively. This facilitates better prioritization among findings.

RBI & SEBI Compliance Packs

RBI and SEBI have introduced new compliance requirements for our Indian customers. In response, we've launched Compliance Packs. These not only allow customers to monitor compliance but also enhance security posture in accordance with RBI & SEBI guidelines.

Kubernetes Metadata Enhancements

We have improved Kubernetes Policy Metadata to better map findings with MITRE Tactics and Attack Workloads, and to enhance tagging. Additionally, we've introduced impact analysis to help understand the severity of Kubernetes Realtime Runtime Threats.

Manual Scan

If you need to scan a build package archive for secrets or vulnerabilities, we're here to help. Our Manual Scan feature allows customers to upload and scan any packages for code security issues.

Volume-Based Anomaly

Volume-Based Anomaly: We're enhancing our anomaly detection capability to monitor and tag activities as anomalies based on volume trends. This will improve the signal-to-noise ratio using volume as an indicator for anomalies. For example, an unusual number of S3 policy changes. A concern raised by AWS customers - https://www.linkedin.com/posts/mpurusottamc_how-an-empty-s3-bucket-can-make-your-aws-activity-7196635681132089344-TPnN
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