Sensitive Data Discovery and Classification Across SaaS, Cloud and Endpoints in Minutes

Strac integrates with your apps and helps you identify, categorize, and redact PII, health data, and financial data.

Automated Agentless Data Discovery and Classification DSPM Solution

From GDPR to HIPAA, Strac ensures that your SaaS/Cloud apps are safe and compliant with the latest regulations.
HIPAA
PCI
SOC 2
GDPR
CPRA
ISO 27001 & 27701

Why use Strac for Sensitive Data Discovery and Classification?

Strac DLP’s purpose-built machine learning model scans text, attachments, and audio/video recordings across all your SaaS tools to reveal, categorize, and redact sensitive data.

Sensitive Data Discovery Across SaaS, Cloud Databases, Endpoints

Strac seamlessly integrates with a wide range of platforms including cloud services like AWS, SaaS applications like Office 365, and endpoint devices across Windows, macOS, and Linux. This extensive coverage ensures that sensitive data is discovered and classified wherever it resides.

Discover Sensitive Data via Machine Learning

Utilizing state-of-the-art machine learning algorithms and ocr models, Strac accurately identifies and classifies sensitive data, such as PII, PHI, and PCI, reducing the chances of false positives and ensuring compliance with regulatory requirements like HIPAA and GDPR.

Real-Time Data Protection

Strac provides real-time scanning and classification capabilities, allowing organizations to detect and respond to sensitive data exposure the moment it happens. This immediacy is crucial for preventing data breaches and unauthorized access.

Automated Remediation Actions

Beyond just detection, Strac enables automated remediation actions such as redaction, masking, labeling, blocking and secure deletion. This automation helps in enforcing security policies without requiring manual intervention, thereby reducing the administrative burden and enhancing data security.

Sensitive Data Classification Framework

Strac offers a highly customizable classification framework that can be tailored to the specific needs of the organization. This flexibility allows companies to define what constitutes sensitive data based on their unique regulatory and business requirements.

Data Discovery Reporting and Compliance Support

With Strac, organizations gain access to detailed reporting and analytics that help monitor compliance with data protection regulations. These insights are invaluable for auditing purposes and for making informed decisions about data security strategies.
Strac SaaS Integrations showcase

Strac Data Discovery and Classification For

Icon with A cloud with gears inside of it.

SaaS

Protect the data stored in your online SaaS applications against data breach and unauthorized sharing with real-time violation detection and redaction.
Icon of a white line drawing of a head with gears coming out of it.

Generative AI

Prevent data leaks by monitoring employee Generative AI tools use, educate them on risks associated with them, and enforce data protocols.
Cloud Icon

Cloud Applications

Connect with cloud apps via APIs to guard data when it is accessed, shared, or stored. Detect and shield data at source before it spreads.

Modern Sensitive Data Discovery & Classification Tool for SaaS

Are you worried about sensitive data leaks across your SaaS apps? Integrate in 5 minutes and protect your daily SaaS apps with Strac

NO CODE INTEGRATIONS

Zendesk Logomark
Zendesk
Identify & Redact (Mask) sensitive personal data (PII & PHI) from Zendesk tickets
Learn More
Slack Logomark
Slack
Identify & Redact (Mask) sensitive personal data (PII & PHI) from slack messages.
Learn More
Gmail Logomark
Gmail
Identify & Redact (Mask) sensitive personal data from emails (body& attachments)
Learn More
Office 365 Logomark
Office 365
Identify & Protect sensitive personal data from emails (body &attachments)
Learn More
Intercom Logomark
Intercom
Identify & Protect sensitive personal data (PII & PHI) from intercom conversations
Learn More
Notion Logomark
Notion
Identify & Protect sensitive personal data (PII & PHI) from Notion pages and blocks
Learn More
JSON Icon
Logs
Identify sensitive data (PII, PHI,API Keys) in your log files
Learn More
PostgreSQL Logomark
Databases
Mask sensitive data in your databasesand use it for testing
Learn More
Google Drive Logomark
Drive
Identify & Protect sensitive personal data from Google Drive documents
Learn More

Categories of Sensitive Data Identified by Strac

Use Strac to stay compliant with various data privacy laws. 
A black and white icon of a check mark.

Personal Identifiable Information

Spot names, addresses, SSNs, driver's license numbers, emails, and phone numbers within various data.
Health Information Icon

Personal Health Information

Unearth medical records, lab results, billing info, and insurance specifics from different sources.
Financial Information Icon

Financial Information

Discover credit card details, bank accounts, transactions, and tax documents in various formats.
Mail & Lock Icon

Secrets

Capture API Keys, OAuth Tokens, Passwords, Passphrases, Seed Phrases, Crypto Addresses, and more.
A black and white photo of a speech bubble.

Profanity

Detect inappropriate, offensive, or unwanted content in text, attachments, and voice/video.
Globe with a text IP Icon

Physical Network

Identify IP Addresses, CIDR Blocks, MAC Addresses, and related network details swiftly.
Vehicle Details Icon

Vehicle Details

Highlight License Plates, Vehicle Identification Numbers (VINs), and associated vehicle info.
Mic Icon

Voice Recording

Scan calls for any above-mentioned sensitive data elements across different platforms.

What our customers say

Hear from companies who leveraged Strac to secure and accelerate their business

Read more on G2

“Strac protects our customer support communication channels

To protect our clients as well as ourselves, we needed a secure way to protect our communication channels for security and compliance reasons. We used Strac's Email Redaction solution where Strac protects all our employee inboxes. The redaction experience is beautiful, easy, and secure. It catches all kinds of sensitive pdfs, jpegs, images, word docs, and even in email bodies. The integration was up and running in a few minutes. The service offered by Strac's team is the best I have seen as we work with a lot of SaaS providers.

We Highly Recommend Strac to all businesses who want to protect their SaaS apps.

Nathan Seifert
Head of IT at Trivium
Nathan Seifert Portrait

“Strac secures our PII on customer support and on backend servers

On our Intercom customer support, anyone can send sensitive data to a business and a business is liable even if they did not ask for it. Strac solves that huge problem by automatically redacting sensitive data that is shared over Intercom with their accurate machine learning technology. We also leveraged Strac's Zero Data architecture via tokenization & proxy APIs so that we don't have to worry about touching sensitive data and documents on our backend servers. Strac dramatically reduces security and SOC compliance risks for us while significantly improving security posture for Seis. Strac's solutions were extremely easy to integrate (literally in few minutes) and scaled to meet our needs.

Josh Howland
CTO and Co-Founder at Seis
Josh Portrait

“Loved Strac's Interceptor Solution

We leverage Strac's tokenization & interceptor solution so that we don't have to worry touching sensitive SSNs and can leverage Strac's security expertise in building hundreds of security controls.

We could also detect identity fraud using Strac's unique tokenization solution which we are really happy with. That saved us a ton of financial losses and headaches. We are looking forward to integrating with various other Strac solutions deep into our tech stack.

Kevin Hopkins
CTO at Zeta
Kevin Hopkins Logo

Custom Data Identification and Rules

Set your own rules or use regex for detecting/redacting sensitive data types specific to your organization. You can also upload documents and attachments, mark sensitive information in it, and Strac configured itself to find those data points going forward.