Strac Features

Administration (6)

Data Management: Administrators can access and organize data related to incidents to produce reports or make data more navigable.
Incident Logs: Information on each incident is stored in databases for user reference and analytics.
Reporting: Produces reports detailing trends and vulnerabilities related to bot management and performance.
Auditing: Documents access and alterations of the database for analytics and reporting.
Data Discovery: Unveils data connected to infrastructure and applications used to help manage and maintain compliance within complex IT systems.
Access Control: Supports LDAP Protocol to enable access control and governance.

Access Control: Supports LDAP Protocol to enable access control and governance.
Compliance: Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.
Data Visibility: Similifies data identification to increase visibility and management capabilities

Encryption: Protects data with within and as it leaves your secure or local network.
Endpoint Intelligence: Analysis for users to examine threat intelligence data specific to their endpoint devices.
Activity Monitoring: Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.
Breach Detection: Provides incident alerts for leaks or breaches and provides capabilities to inform administrators of attacks.

Data Masking: Protects sensitive data by disguising or encrypting data, keeping it usable by the organization and approved parties.
Data Encryption/Security: Manages policies for user data access and data encryption.
Data loss Prevention: Stores data securely either on premise or in an adjacent cloud database to prevent loss of data at rest.
Anomoly Detection: Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns.
Sensitive Data Compliance: Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.
Sensitive Data Discovery: Includes funcationality to automatically discover and classify sensitive and other defined data.
Structured and Unstructured Data: Can protect both structured and unstructured data using automated discovery tools.
Encryption: Includes encryption methods to protect data.
Persistent Protection: Protects data at rest, in transit, and in use.
Data Masking: Provides data masking functionality that hides specific data within a dataset based on the data's specific use policies.
Data Governance and Access Management: Provides policies and access controls to ensure the data is only handled by permisssioned users and processes.
Audit and Reporting: Includes audit and reporting functions to know exactly what actions have been taken on data, such as who has accessed it and when.

Structure type: Searches structured, semi-structured, and unstructured data for sensitive data.
Contextual search: Offers contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata.
Template algorithms: Has template rules and pattern matching algorithms (PII, PCI, PHI and more)
Custom algorithms: Offers the option to create custom templates and rules based on department, user type and data type.
False-positive management: Offers false-positive management functions
Multiple file and location types: Search multiple file types (images, PDFs, etc.) and repository locations (such as on-premise databases, cloud storage, email servers, websites, etc.)
Real-time monitoring: Monitors data stores in real-time searching for newly created sensitive data.
Dashboard: Offers a dashboard showing specific location of sensitive data.
Compliance: Facilitates compliance and enables adherence to common industry regulatory standards such as GDPR, CCPA, HIPAA, PCI DSS, ISO, and others.
Reporting: Offers reporting functionality.