The DML model is a machine learning-based approach to detect and prevent data breaches. It uses a combination of natural language processing and machine learning algorithms to identify potential security threats and anomalies in an organization's data. The DML model is designed to be highly accurate and efficient, allowing it to quickly and effectively detect potential security threats and prevent data breaches. The model is trained on a large dataset of known security threats and anomalies, allowing it to learn and adapt to new and emerging threats. The DML model is a powerful tool for organizations looking to improve their data security and prevent data breaches.
FEATURES
EXPLORE BY TAGS
SIMILAR TOOLS
Red October is a software-based two-man rule style encryption and decryption server.
An AI-driven data classification and governance platform that automatically discovers, analyzes, and labels sensitive information while providing risk management and compliance capabilities.
Discover and protect sensitive data at scale with automated data discovery and security assessment.
A tool for securely backing up and versioning production secrets or shared passwords
A network-based panic button to overwrite LUKS header and shutdown the computer in emergencies, making data recovery impossible.
TestDisk checks disk partitions and recovers lost partitions, while PhotoRec specializes in recovering lost pictures from digital camera memory or hard disks.
de4dot is a .NET deobfuscator and unpacker with the ability to restore packed and obfuscated assemblies to their original form.
An endpoint data loss prevention solution that discovers, classifies, and protects sensitive data while controlling data transfer methods and mitigating insider threats.
PINNED

Mandos
Fractional CISO service that helps B2B companies implement security leadership to win enterprise deals, achieve compliance, and develop strategic security programs.

Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.

Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.

DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.