Table of Contents
DeepFactor
Enterprise
DeepFactor is a runtime security platform designed to provide comprehensive visibility into application vulnerabilities and risks. Unlike traditional static analysis tools that analyze code without executing it, DeepFactor instruments applications at runtime, observing their behavior and identifying potential security flaws as they occur. This dynamic approach allows DeepFactor to detect vulnerabilities that might be missed by static analysis, such as those related to configuration issues, data leakage, and third-party library usage. By bringing security insights directly to the development workflow, DeepFactor enables a shift-left security strategy, reducing the cost and effort associated with fixing vulnerabilities later in the development cycle. Learn more about Shift Left Security.
Key Features
Runtime Vulnerability Detection: DeepFactor identifies a wide range of vulnerabilities, including those related to the OWASP Top 10, misconfigurations, and dependency risks, by observing application behavior in real-time. For more, visit the DeepFactor resources page.
Behavioral Anomaly Detection: The platform uses machine learning to establish a baseline of normal application behavior and detect anomalies that may indicate malicious activity or security breaches.
Comprehensive Observability: DeepFactor provides deep insights into application behavior, including network traffic, file system access, and system calls, enabling security teams to understand the root cause of vulnerabilities and incidents. You can read more about DeepFactor on their about page.
Integration with CI/CD Pipelines: DeepFactor seamlessly integrates with popular CI/CD tools, allowing developers to automatically scan their applications for vulnerabilities as part of the build process. Check out the DeepFactor docs for more info.
Real-time Threat Intelligence: DeepFactor's threat intelligence feed provides up-to-date information on emerging threats and vulnerabilities, helping security teams to prioritize their remediation efforts.
Compliance Reporting: The platform generates detailed reports that help organizations meet compliance requirements, such as PCI DSS, HIPAA, and GDPR.
Interactive Security Testing (IAST): DeepFactor functions as an IAST solution, pinpointing vulnerabilities during application testing by monitoring code execution and data flow. View a DeepFactor demo to see how it works.
Use Cases or Applications
DeepFactor can be applied across various stages of the software development lifecycle and in diverse application environments.
DevSecOps: Integrating DeepFactor into CI/CD pipelines allows for automated security testing, enabling developers to identify and fix vulnerabilities early in the development process, fostering a DevSecOps culture.
Cloud Security: Securing cloud-native applications is a crucial use case. DeepFactor monitors applications running in containerized environments like Kubernetes, detecting vulnerabilities and misconfigurations that could expose sensitive data.
Third-Party Risk Management: DeepFactor helps organizations assess the security risks associated with using third-party libraries and components by identifying vulnerabilities in those dependencies.
Incident Response: When a security incident occurs, DeepFactor can provide valuable insights into the root cause of the incident, helping security teams to quickly contain and remediate the issue.
Runtime Protection: DeepFactor actively monitors applications in production, detecting and blocking malicious activity in real-time, offering a layer of runtime protection. Visit the DeepFactor blog for more information.
What is Unique About DeepFactor?
What sets DeepFactor apart from other application security solutions is its focus on runtime observability. While static analysis tools can identify some vulnerabilities, they often miss those that are only exposed at runtime. DeepFactor's dynamic approach allows it to detect a broader range of vulnerabilities, including those related to configuration issues, data leakage, and third-party library usage. Furthermore, DeepFactor's integration with CI/CD pipelines enables a shift-left security strategy, allowing developers to address vulnerabilities early in the development cycle, reducing the cost and effort associated with remediation. See Gartner's definition of IAST to better understand the context.
Who Should Use DeepFactor?
DeepFactor is beneficial for a wide range of users involved in the software development and security lifecycle:
Developers: Can use DeepFactor to identify and fix vulnerabilities early in the development process, reducing the risk of security breaches.
Security Engineers: Gain comprehensive visibility into application vulnerabilities and risks, enabling them to prioritize their remediation efforts.
DevSecOps Teams: Facilitates a collaborative approach to security, integrating security practices into the development workflow.
Application Security Teams: Provides the tools and insights needed to effectively manage application security risks.
Compliance Officers: Helps organizations meet compliance requirements by generating detailed reports on application security posture. Check out DeepFactor's website.
Supported Platforms & Installation
DeepFactor supports a variety of platforms, including Linux, Windows, and macOS. It can be deployed in cloud environments, on-premises, and in hybrid environments. Installation typically involves deploying the DeepFactor agent to the target environment and configuring it to monitor the applications of interest. Detailed instructions and documentation are available on the DeepFactor website. Accessing the product generally involves contacting DeepFactor for a demo or trial, followed by a guided setup process.
Pricing
DeepFactor's pricing model is typically based on factors such as the number of applications being monitored, the number of users, and the level of support required. Contacting DeepFactor directly is the best way to obtain a tailored pricing quote that aligns with your specific needs and usage scenarios. They often offer tiered pricing plans to accommodate different organizational sizes and requirements. Read more about DeepFactor pricing.
Short Summary
DeepFactor offers a powerful and innovative approach to application security by leveraging runtime observability. Its key features, including runtime vulnerability detection, behavioral anomaly detection, and integration with CI/CD pipelines, enable organizations to shift-left security and build more secure and resilient applications. With its broad range of use cases and support for various platforms, DeepFactor is a valuable tool for developers, security engineers, and DevSecOps teams. You can connect with DeepFactor on LinkedIn.
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DeepFactor
Enterprise
May 2, 2025
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Deepfence ThreatMapper is an open-source security observability platform that helps teams discover, prioritize, and address vulnerabilities across containerized applications, Kubernetes clusters, and cloud infrastructure in real-time.
DeepFactor is a runtime security platform that provides comprehensive visibility into application vulnerabilities through dynamic analysis, enabling organizations to implement effective shift-left security strategies.
Deep Instinct leverages advanced deep learning technology to provide predictive threat prevention, protecting organizations from known and unknown cyber threats with unmatched speed and accuracy.
DalFox is a powerful open-source XSS vulnerability scanner that combines speed, accuracy, and versatility to help security professionals and developers identify and remediate cross-site scripting vulnerabilities effectively.
