Cuckoo Sandbox vs Deep Instinct Prevention Platform comparison

Cuckoo Sandbox is an open-source malware analysis system that aids in detecting and analyzing malicious files and URLs. Its primary use case is to provide a secure environment for executing suspicious files or websites and generating detailed reports on their behavior.

The most valuable functionality of Cuckoo Sandbox is its ability to perform dynamic analysis, which involves monitoring the behavior of malware in a controlled environment. It employs various techniques such as system monitoring, network traffic analysis, and API call tracing to gather information about the malware's activities.

Cuckoo Sandbox helps organizations by providing them with actionable insights into potential threats. By running suspicious files or URLs in a controlled environment, it can identify and analyze malware that might otherwise go undetected. This helps organizations understand the behavior and capabilities of malware, enabling them to develop effective strategies for prevention, detection, and response.

Additionally, Cuckoo Sandbox generates comprehensive reports that include detailed information about the malware's actions, network communication, and system modifications. These reports aid in forensic investigations and provide valuable intelligence for threat-hunting and incident response teams.

Deep Instinct PREVENTS >99% of UNKNOWN threats like ransomware and zero-days before they land inside your environment – not after. With both an agentless and agent-based approach, we ensure file-based and fileless attacks are prevented. To achieve this, Deep Instinct is pioneering the use of deep learning AI to prevent threats in <20ms, without requiring calls to the cloud for threat intelligence. Our ability to scale to the needs of the enterprise is unprecedented as is our delivery of the industry’s lowest false positive rate of <0.1%.

The Deep Instinct Prevention Platform combines industry-leading static analysis based on the only deep learning framework dedicated to cybersecurity and includes two solutions:

• Deep Instinct Prevention for Applications is a flexible, containerized and highly scalable solution, deployed via API or ICAP, to scan million so files per day and prevent malicious files from entering storage environments.

• Deep Instinct for Endpoints complements EDR solutions by preventing threats pre-execution, minimizing false positives, improving the productivity of SOC teams, and increasing the efficiency of the security stack.

To learn more, visit: https://www.deepinstinct.com.