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What is Comodo Valkyrie?

Valkyrie improves security by analyzing the entire run-time behavior of files, which allows it to detect zero-day threats that are frequently missed by conventional signature-based antivirus solutions. The Valkyrie console permits users to upload files for detailed analysis, offering access to diverse dashboards and reports that summarize the scanning results. Moreover, users can opt to forward files to Comodo Labs where they receive in-depth assessments from human specialists. The Comodo Unknown File Hunter tool allows for local scans throughout networks to identify unfamiliar files, which can subsequently be submitted to Valkyrie for advanced examination. To guarantee an exhaustive review, Valkyrie’s analytical framework integrates a combination of Automatic analysis and Human Expert analysis for every file submitted, leading to a more accurate decision-making process. This dual-method strategy not only boosts detection rates but also fortifies defenses against new and evolving threats. Ultimately, Valkyrie's extensive system equips users with a formidable solution for protecting their digital spaces while ensuring they remain one step ahead of potential security breaches. The continuous updates and improvements to the Valkyrie framework further enhance its effectiveness, solidifying its position as a leader in cybersecurity.

What is Binary Ninja?

Binary Ninja is an interactive tool designed for disassembling, decompiling, and analyzing binaries, making it ideal for reverse engineers, malware analysts, security researchers, and software developers, and it supports various operating systems including Windows, macOS, and Linux. The platform enables users to disassemble executables and libraries in multiple formats, architectures, and platforms. Additionally, it provides the capability to decompile code into C or BNIL for any supported architecture, including custom ones. Automation of analysis is made possible through APIs available in C++, Python, and Rust, which can be accessed from both the user interface and externally. Users benefit from visualizing control flow and navigating through cross-references, which significantly enhances their analysis experience. The functionality is further enriched by features that allow users to rename variables and functions, assign types, build structures, and add comments. Collaboration is facilitated through synchronized commits offered in the Enterprise version, ensuring teams can work together effectively. The integrated decompiler supports all officially recognized architectures for a single fee and employs a powerful suite of intermediate languages known as BNIL. Beyond the standard architectures, community-contributed architectures also produce remarkable decompilation results, highlighting Binary Ninja's impressive versatility and strength. This makes it an essential resource for industry professionals aiming to optimize their reverse engineering workflows, ultimately leading to more efficient and effective analysis processes.

Media

Media

Integrations Supported

C
C++
Python
Rust

Integrations Supported

C
C++
Python
Rust

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$299 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Comodo

Date Founded

1998

Company Location

United States

Company Website

valkyrie.comodo.com

Company Facts

Organization Name

Binary Ninja

Company Location

United States

Company Website

binary.ninja/

Categories and Features

Categories and Features

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