Cortex Data Security is the only data security platform that protects data everywhere: across cloud, SaaS, on-premises, network, browser, endpoint, and email.
The Challenge of Fragmented Data Security
Most organizations manage data security through a collection of disconnected tools. This creates significant gaps in visibility, particularly as AI adoption grows.
- 60% of organizations cite cloud complexity as their primary data security hurdle.
- 54% of teams use four or more separate tools to manage data risk.
- 48% of organizations still rely on manual reviews to identify sensitive data.
- 88% of businesses have started using AI, yet 100% of executives surveyed report concerns over the associated security risks.
When security relies on a patchwork of siloed controls, "dark data"—unclassified or machine-generated information—often goes undetected. This creates a persistent risk that manual policy maintenance and legacy governance tools cannot keep up with.
Modernizing the Data Security Stack for the AI era: Controlling how identities, models, and AI agents access and use sensitive data
Instead of managing thousands of static policies across different platforms, Cortex data security centralizes posture, detection, and loss prevention. This integration helps reduce the mean time to remediate (MTTR) by providing real-time detection and built-in SOC workflows.
Capability |
Legacy Approach |
Cortex Data Security Approach |
Visibility Scope |
Siloed (Cloud vs. On-Prem) |
Universal (Cloud, SaaS, On-Prem, Email) |
Response Time |
Manual review (Hours/Days) |
Autonomous (Real-time via Agentic AI) |
Policy Control |
Fragmented & Manual |
Harmonized across all controls |
AI Enablement |
High risk due to lack of visibility |
Secure Adoption with end-to-end monitoring |
Core Capabilities
Cortex data security replaces the need for disparate tools by providing a shared data layer. This enables teams to harmonize policies across native and third-party controls, ensuring consistent protection from the endpoint to the cloud.
- Comprehensive Discovery: Visibility into data across public cloud, SaaS, and on-premises environments, as well as common exfiltration paths like email, browser, and network.
- Security for AI Pipelines: End-to-end visibility into the data fueling AI models. This includes mapping data flows, monitoring for sensitive exposure, and prioritizing risks across the infrastructure and supply chain.
- Autonomous Remediation: Agentic AI performs continuous detection and automated remediation of risky activity, escalating to security teams only when human judgment is required.
- Data Access Governance: Tools to monitor and rightsize permissions for human, non-human, and agentic actors to ensure the principle of least privilege.
Convergence: DSPM, DDR, and DLP
Instead of maintaining thousands of static policies across different platforms, Cortex Data Security centralizes data security posture, detection, and loss prevention. This integration helps reduce MTTR by providing real-time detection and built-in SOC workflows. Download the Cortex Data Security Datasheet now.