Secure Data+AI Everywhere

Establish common grammar, classification, and labeling policies across structured, semi-structured and unstructured data at scale

Identify shadow data assets and prioritize data controls for systems containing regulated or sensitive company data.

Understand user access to structured and unstructured data and enforce least-privileged controls

Secure data sharing, safely adopt AI Copilots, build safe enterprise AI apps and automate compliance.

Improve cloud and SaaS data security posture by prioritizing and remediating misconfigured systems containing sensitive data

Assess compliance and cybersecurity risk, reduce alert fatigue, and enforce data security controls.

Use data flow maps to understand data lineage, usage and risk through the data lifecycle

Understand AI security risk, assess compliance, and secure streaming data.

Identify and reduce redundant, obsolete, and trivial (ROT) data using AI techniques and automated policies

Enforce data retention and compliance, reduce costs, manage data breach and legal risk, and improve AI efficacy.

Automate AI Security Posture Management and establish controls for safe adoption of GenAI

Discover shadow AI, assess OWASP Top 10 for LLMs, secure enterprise AI apps, adopt SaaS copilots and automate AI compliance.

Use automation to assess and improve compliance with global data and AI regulations and cybersecurity frameworks

Assess and enforce data and AI compliance regulations.

Assess data breach severity across large hybrid multicloud and SaaS environments and automate breach notifications

Assess data breach impact and automate breach response.