Solution differentiators
Be SAFE – with breadth of coverage, scalability, accuracy, flexibility, and efficiency – compared to other DSPM tools.
Architecture
AI-enabled remediation
Coverage
Time to value
Risk quantification
100% agentless
scanning architecture
The platform was designed around an architecture that scans in place, so data never leaves the location where it resides. This approach keeps data under IT control, supports compliance with stringent data protection regulations and enhances operational efficiency.
Teams can scan data at scale (~1TB per hour) without extensive set-up or manual tuning – the spin up, scale out, scale down and tear down are all managed by the Normalyze platform.
Breadth of coverage
Secure data wherever it is – including SaaS, PaaS, public or multi-cloud, on-prem or hybrid environments – from a single platform for a complete understanding of your data attack surface.
Normalyze’s data discovery capabilities are engineered to operate seamlessly across a diverse range of platforms and services.
By supporting an extensive array of data stores, from traditional relational databases to modern NoSQL and key-value stores, Normalyze ensures comprehensive visibility into all structured, unstructured, and semi-structured data.
Risk quantification
The risk matrix organizes data stores by impact and likelihood of breach so you can focus on – and drill down into – what matters and get the best security ROI for your efforts.
Drill into the impact of potential data loss with the unique DataValuator™ that assigns monetary value to data based on the historical cost-to-handle per breached record of equivalent data.
Visualize the likelihood of breach with the patented Data Access Graph that shows how people and resources are accessing critical data, and with the Risk Navigator™ that shows the attack paths an attacker could exploit to get to that data.
AI-enabled remediation
Actionable insights and comprehensive recommendations with alerts and integration into service management platforms help teams remediate and prevent issues before they happen.
New learning capabilities continuously improve classification accuracy and remediation recommendations based on user feedback and actions.
Time to value
Normalyze DSPM
Breadth of coverage
Scalability
Accuracy
Flexibility
Efficiency