Ryan Stillions: The DML model
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
ALTERNATIVES
Microsoft BitLocker is a full volume encryption feature in Windows for protecting data on lost or stolen devices, with tools and resources for implementation.
A deep dive into the Ledger connect-kit compromise decryption process.
Helm plugin for cryptographically signing and verifying charts with GnuPG integration.
A reverse proxy solution that provides data access control, monitoring, and security policy enforcement for databases and APIs within organization's infrastructure.
BleachBit cleans files to free disk space and maintain privacy with various options and command line interface support.
Tang is a server for binding data to network presence, providing an easy and secure alternative to key escrow.
Microsoft Azure service for safeguarding cryptographic keys and secrets.
TestDisk checks disk partitions and recovers lost partitions, while PhotoRec specializes in recovering lost pictures from digital camera memory or hard disks.
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Mandos Brief Newsletter
A weekly newsletter providing cybersecurity leadership insights, industry updates, and strategic guidance for security professionals advancing to management positions.
CTIChef.com Detection Feeds
A tiered cyber threat intelligence service providing detection rules from public repositories with varying levels of analysis, processing, and guidance for security teams.
OSINTLeak
OSINTLeak is a tool for discovering and analyzing leaked sensitive information across various online sources to identify potential security risks.
ImmuniWeb® Discovery
ImmuniWeb Discovery is an attack surface management platform that continuously monitors an organization's external digital assets for security vulnerabilities, misconfigurations, and threats across domains, applications, cloud resources, and the dark web.
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.