Unified Data Security Platform
ALTR’s Data Security Platform is the simplest way to unify, secure, and govern data access across your modern data stack, at scale.
FEATURES
One powerful platform for infosec & data teams
Dynamic Data Masking
Database Activity Monitoring
Gain real-time visibility into data usage, enabling you to detect, investigate, and neutralize unauthorized access—while maintaining a complete audit trail for compliance and response.
Native Data Classification
Gain full control over how sensitive data like PII, PHI and PCI is identified—accurately, consistently, and without compromise across modern cloud environments.
Data Tokenization
Protect sensitive data while allowing it to be safely used across analytics, operations, and AI—reducing risk, simplifying compliance, and keeping your business moving.
Format Preserving Encryption
Secure and share sensitive data in its original format, maintain system compatibility, and meet compliance requirements—without disrupting workflows, performance, or user experience.
Open Source Integrations
We seamlessly integrate with leading data tools such as ETL, catalog, and other technologies for a simple, streamlined experience.
Ensure AI Governance
Enforce runtime data policy for AI pipelines the same way you do for human users, so models only access what they’re supposed to.
Achieve PCI DSS & SOC 2 Compliance
Real-time audit logs and automated access controls give compliance teams the documentation trail auditors actually ask for.
Secure Data Sharing
Enforce exactly what each party can see, masked, encrypted, or tokenized, before sensitive data leaves your environment and reaches external hands.
Secure Data Migration
Protect sensitive data in motion by encrypting and governing it upstream, before it lands in your cloud data warehouse.
No Matter the Industry, Your Data Is Protected
For industries handling vast amounts of sensitive data security can’t get in the way of getting things done. ALTR’s Data Security Platform allows you to protect what matters most while keeping operations running smoothly.
Finance
Secures account numbers, transaction records, and cardholder data while maintaining compliance with PCI DSS, GLBA, and real-time regulatory mandates.
Healthcare & Life Sciences
Protects PHI, genomic data, and clinical trial records across research and analytics environments while complying with HIPAA and other privacy laws.
Retail
Protects customer PII and payment data at scale while enforcing role-based access controls across analytics and reporting environments.
Government
Protects citizen PII and sensitive government records while enforcing role-based access controls and the audit trail federal compliance mandates require.
Frequently Asked Questions
What is a data security platform?
A data security platform is a unified solution that combines data discovery, access control, activity monitoring, and policy enforcement into a single system. Rather than managing separate tools for masking, encryption, and auditing, organizations use a data security platform to protect sensitive data consistently across every database, team, and use case.
What does ALTR's data security platform do?
ALTR’s data security platform brings together database activity monitoring, dynamic data masking, tokenization, format-preserving encryption, and automated data classification under one roof. It enforces access policy in real time — at the query level — across cloud databases including Snowflake, Databricks, Oracle, SQL Server, PostgreSQL, and MySQL.
How is a data security platform different from traditional data security tools?
Traditional tools handle one function — a standalone masking solution, a separate audit log tool, a point encryption product. A data security platform unifies those functions and enforces them consistently across your entire data environment. The result is fewer gaps, less manual overhead, and a single source of truth for access policy and compliance documentation.
What is the difference between a DSP and a DSPM?
A Data Security Platform (DSP) and Data Security Posture Management (DSPM) are often conflated, but they serve fundamentally different functions.
A DSP actively protects data. It sits in the critical path of data access and enforces controls in real time — masking sensitive fields, blocking unauthorized queries, encrypting data at rest and in motion, and generating audit logs as access happens. When a user queries a database, the DSP is the system that decides what they see and logs what they did.
A DSPM monitors and assesses. It provides visibility into where sensitive data exists, how it’s configured, and where security gaps may be present. It’s a posture and risk assessment tool — valuable for understanding exposure, but not designed to prevent unauthorized access or enforce policy at query time.
The core distinction: a DSPM tells you what your risk looks like. A DSP does something about it.
How does a data security platform handle AI and machine learning workloads?
AI models and agents require access to large volumes of sensitive data, but that access is rarely governed the same way human access is. A data security platform like ALTR enforces runtime access policy for AI pipelines, masking or restricting sensitive fields before they reach a model, and logging every access event. This means AI initiatives can move fast without creating unmonitored exposure.
Does a data security platform slow down database performance?
A well-architected cloud-native data security platform should not meaningfully impact performance. ALTR runs natively within cloud data platforms like Snowflake, eliminating the latency caused by routing queries through external on-premises appliances. Format-preserving encryption and tokenization are designed to scale concurrently with analytical workloads.
How quickly can a data security platform be deployed?
Deployment timelines vary by environment, but ALTR is designed for rapid time-to-value. Customers have completed proof-of-concept evaluations in hours and moved from contract to compliance-ready in weeks, without professional services or custom code. A point-and-click interface lets non-technical users create and enforce granular data access policies without writing SQL.