Automated 95% of data requests to 6000 analysts, who were spending 30% of their time waiting for data
Securing Data Is Overly Complex
As organizations invest in modern cloud data platforms, they face a major challenge balancing the need to secure their data while also providing fast, scalable access to internal and external users. This creates a choice of whether to halt progress or leave their data completely exposed. It is too difficult to classify sensitive data. Thousands of policies must be manually written to control who has access to it. You’re unable to detect and track risky usage – or properly mitigate those risks if they are detected.
Native controls with SQL roles
- Slow time to data
- Limits cloud ROI
- Central IT bottleneck
Security vendors using
- Slow time to data
- Increased risk
- Unsupported by platform vendor
Data copies replicated for every user
- Slow time to data
- High cost to manage
- Increased risk
Sensitive Data Discovery & Classification
Discover sensitive data from millions of fields without manual effort, and apply 60+ prebuilt classifiers alongside domain-specific and custom classifiers. With Immuta, you can assess your sensitive data footprint by profiling registered tags such as PII, PHI, or others, and enable different teams to inspect and approve classification tags through workflows.
“What makes Immuta unique is how its platform unlocks our data’s value by making it automatically, yet securely, available to all the analysts who need it – regardless of what BI or data science tools they’re using."
Data Security & Access Control
Build data policies in plain language or as-code, and enforce them automatically in real time across teams and regions. Immuta’s modern access control approach uses attribute-based access control (ABAC) to deliver scalable data access without the challenges of role explosion. With dynamic data masking, you can strike the balance between privacy and utility so the right users can access the right data.
“The majority of organizations generally still use RBAC for data security which leads to role explosion. ABAC at the data tier level reduces the number of roles allowing organizations to control data access and achieve consistent policy enforcement."
Continuous Data Security Monitoring
Leverage timely insights into data access and user activity with anomaly indicators for faster analysis and risk remediation and proactive actions. Immuta enables data security posture management via an analysis engine with sensitivity level and risk profile indicators to safeguard and mitigate threats. You also receive notifications, alerts, and audit reports to prove compliance easily.
"Delegating the management into the hands of the people who are actually responsible for the data was a huge and critical aspect from a business perspective, because at the moment it just doesn't work."
- 93 Static Policies
- 50 data consumers safely accessing sensitive data products
- Managed by specialized engineering resources
- Manual effort that takes months
- Hard to explain and understand policies
- Blind to leaks and violations
- Information to manage entitlements is spread across systems
- 1 Dynamic Policy
- 50,000+ data consumers safely accessing sensitive data products
- Managed by any technical or business stakeholder
- Automated access takes seconds
- Easy to understand policies
- Safely monitor all sensitive data use
- Information driving policy decisions is centralized across systems
What is Immuta?
Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and access control, data activity monitoring, and has deep integrations with the leading cloud data platforms. Immuta is now trusted by Fortune 500 companies and government agencies around the world to secure their data. Founded in 2015, Immuta is headquartered in Boston, MA.
What is the importance of data governance?
Effective data governance is critical for ensuring that an organization’s data remains consistent and trustworthy and that it can’t be misused. It’s becoming increasingly important as organizations face new data privacy regulations and rely more and more on data analytics to help optimize operations and drive decision-making across the business.
What are the benefits of automated data management?
Automated data management helps organizations streamline enterprise-wide data management tasks and is designed to speed up business operations and reduce costs. Automating data management also allows organizations to make sense of large quantities of data by mechanizing redundant work and leaving higher-level tasks to people.
What are the differences between Immuta vs. Privacera?
Although Immuta and Privacera both offer data access control capabilities, according to a study by GigaOm, Immuta’s more dynamic approach reduces policy burden by 75x compared to Privacera, which runs on Apache Ranger. This is primarily due to the fact that Immuta leverages attribute-based access control (ABAC) to make fine-grained access decisions at query runtime, while Apache Ranger uses role-based access control with object tagging (OT-RBAC). The latter is a legacy approach that allows policy creation based on tags, but is inherently static and requires far more policies to manage evolving data needs. Meanwhile, ABAC takes a multi-dimensional approach to policy creation and enforcement, making it more dynamic and scalable. Therefore, Privacera’s access control capabilities are far more limiting and require substantially more manual effort by data teams to manage than Immuta, which is built to grow and evolve at the speed and scale of modern data needs.
Have 29 minutes?
Let us show you how Immuta can transform the way you govern and share your sensitive data.