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What is Raven?

Raven represents a cutting-edge runtime application security platform designed to protect cloud-native applications by operating internally during their execution, rather than relying solely on external security solutions. It delivers real-time insights into the code's actual performance, enabling it to grasp execution flows, libraries, and behaviors at a granular function level, which is crucial for detecting and preventing malicious actions before they can take effect. Unlike traditional tools such as Web Application Firewalls (WAF) or Endpoint Detection and Response (EDR) systems that monitor from an outside perspective, Raven is embedded within the application, empowering it to counteract exploits, supply chain threats, and zero-day vulnerabilities, even when there are no known threats or Common Vulnerabilities and Exposures (CVEs) present. The platform continuously monitors runtime activities, identifying unusual patterns or the misuse of legitimate operations, and quickly intervenes to stop harmful execution processes. Additionally, Raven assists security teams by filtering out numerous irrelevant vulnerabilities, enabling them to focus exclusively on those that genuinely pose a risk to the environment. This forward-thinking strategy not only bolsters security but also optimizes the entire security management process, ensuring that resources are utilized efficiently and effectively. By integrating seamlessly into existing workflows, Raven fosters a proactive security culture within organizations.

What is Adversa AI?

Our goal is to support your journey in AI transformation while ensuring protection from cyber threats, privacy issues, and safety risks. We offer valuable insights that pinpoint potential weaknesses within your AI applications that could be targeted by malicious actors, taking into account the unique characteristics of your AI models, data, and operational landscape. Furthermore, we help assess the robustness of your AI systems through scenario-driven attack simulations executed by expert threat actors. Our thorough audits prioritize the security of your AI applications, utilizing a rigorous stress testing approach to uncover vulnerabilities. Recently, we have discovered a new method of attack aimed at AI-powered facial recognition systems, which poses the risk of misidentifying individuals. This discovery underscores the urgent need for improved security protocols in both the creation and implementation of AI technologies. As AI continues to evolve, the importance of addressing these challenges will only increase, making proactive measures essential for safeguarding the integrity of your systems.

Media

Media

Integrations Supported

.NET
Amazon Web Services (AWS)
C
C++
Go
Google Cloud Platform
Java
JavaScript
Kotlin
Kubernetes
Microsoft Azure
PHP
Python
R
Ruby

Integrations Supported

.NET
Amazon Web Services (AWS)
C
C++
Go
Google Cloud Platform
Java
JavaScript
Kotlin
Kubernetes
Microsoft Azure
PHP
Python
R
Ruby

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Raven

Company Location

United States

Company Website

raven.io

Company Facts

Organization Name

Adversa AI

Company Location

Israel

Company Website

adversa.ai

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