FastRedaction vs. Oracle Advanced Security vs. Oracle Data Masking and Subsetting vs. Oracle Data Safe Comparison Chart

FastRedaction is an AI-driven, web-based video redaction software designed to streamline the process of securely editing and blurring sensitive video content for law enforcement, legal professionals, and other industries that require confidentiality. This platform automatically blurs faces and tracks objects as videos upload, cutting redaction time by up to 90%. It supports the redaction of various media, including body-worn and dashcam videos, 911 calls, and photographs, without the need for special hardware or software. FastRedaction is highly secure, featuring multi-factor authentication, session timeout settings, and robust access control in compliance with the FBI’s CJIS security policy. Data is encrypted both in transit and at rest using FIPS 140-2 compliant standards, and all access attempts are logged for at least one year. FastRedaction operates on AWS for reliable cloud storage and does not retain credit card information.

The growing security threats and ever-expanding privacy regulations have made it necessary to limit exposure of sensitive data. Oracle Data Masking and Subsetting helps database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by easily discarding unnecessary data. Oracle Data Masking and Subsetting enables entire copies or subsets of application data to be extracted from the database, obfuscated, and shared with partners inside and outside of the business. The integrity of the database is preserved assuring the continuity of the applications. Application Data Modeling automatically discovers columns from Oracle Database tables containing sensitive information based on built-in discovery patterns such as national identifiers, credit card numbers, and other personally identifiable information. It also automatically discovers parent-child relationships defined in the database.