For the complete documentation index, see llms.txt. This page is also available as Markdown.

Release Highlights

The following are the key highlights for this release.

FEATURE
DESCRIPTION

Reimagined Cloud Command Center

Elegantly visualizes risk, providing security teams with actionable insights into cloud assets, critical risks, and active threats, while directing them to the most impactful remediation workflows.

Support for Azure AI Foundry

Provides centralized visibility into all AI assets, automatically uncovering shadow AI and risky configurations. Detect supply-chain risks early, generate a complete AI Bill of Materials (AI-BOM), and apply governance controls for AI development at scale.

Expanded DSPM coverage for Databricks across AWS, Azure, and GCP

Lets teams identify misconfigurations such as unsecured notebooks, risky downloads, and external data sharing that may lead to data exposure or compliance gaps.

New Okta integration

Allows for the ingestion of identities and groups, giving teams deeper visibility into identity risk and access relationships. This new integration means customers will now see the correlation between identities, permissions, and data exposure when using Okta.

Expanded Non-Human Identity (NHI) protection

Provides additional visibility into cloud-managed secrets, their security posture, and their relationships to help teams better identify overexposed and unrotated secrets.

AI-Driven case investigations

Improve security cases by leveraging LLMs to synthesize complex attack narratives into a complete attack story and graph visualization—allowing teams to quickly pinpoint root cause and accelerate response. This new case experience intuitively answers the ”what, why, and how” of cloud risks—empowering teams with actionable insights and zero context switching.

Kubernetes container image & container drift scans

Enhance detection for misconfigurations, vulnerabilities, malware, and exposed secrets across Kubernetes container images as well as unauthorized changes to containers using the Kubernetes connector.

Amazon ECS EC2 agent installer

Expanded runtime protection for AWS ECS EC2 workloads improves real-time defense against malware, exploits, and behavioral threats using the XDR agent to help teams stop attackers.

AppSec AI agent

The agent helps you identify critical issues, assist in creating security policies, and open pull requests to streamline fixes.

Automated Application Creation

Align security with your organization’s code structure instantly. By applying VCS-based criteria, we provide a source-centric approach to automatically creating applications.

AI-powered guardrails

Provides targeted prevention by analyzing development and production environments. The system recommends the most effective policies tailored to your specific needs.

ASPM cases

Reduce remediation time by grouping related risks across the application lifecycle into unified cases, enabling response at scale.

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