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What is Naoris Protocol?

Naoris Protocol introduces a groundbreaking framework for cybersecurity that seeks to restore confidence in digital landscapes. By offering a verified cyber-status that goes beyond traditional limits, it enables organizations to shift from a disjointed, centralized cybersecurity model to a more collaborative and decentralized computing paradigm. The primary aim of Naoris Protocol is to strengthen cyber-trust in digital systems and ensure data integrity while providing ongoing, immutable verification that spans across organizational boundaries, thus enhancing the dependability of global digital infrastructures. By integrating post-quantum cryptography, a specialized dPoSec consensus mechanism, and Decentralized Swarm AI, it effectively reduces cyber risks and allows for real-time sharing of compliance proofs among partners, ecosystems, and regulatory entities. This community-focused computing framework not only encourages devices to contribute computational power and security validations but also promotes a more secure digital ecosystem. Furthermore, Naoris Protocol signifies a pivotal evolution in the methodology of cybersecurity across diverse industries, paving the way for a future where trust and security are paramount.

What is Gemini 3.5 Flash Cyber?

Gemini 3.5 Flash Cyber is a specialized model tailored for cybersecurity, building on the foundations of Gemini 3.5 Flash, and optimized to effectively identify, validate, and resolve vulnerabilities at scale. Its central aim is to bolster defensive security operations, allowing organizations to swiftly identify critical vulnerabilities and create reliable patches before they can be exploited by malicious actors. The impressive combination of performance and efficiency provided by Flash serves as an excellent foundation for code scanning, evaluating security concerns, verifying the authenticity of findings, and proposing accurate remediation strategies across large software environments. Within the CodeMender framework, multiple Gemini 3.5 Flash Cyber agents work together harmoniously, integrating their insights into a unified report that improves the system’s ability to analyze vulnerabilities from diverse angles and enhance the overall quality of the results. This collaborative approach ensures outstanding performance on CyberGym, a benchmark for measuring cybersecurity effectiveness, while also promoting ongoing advancements in vulnerability management practices. In addition, the capabilities of Gemini 3.5 Flash Cyber not only streamline security workflows but also significantly bolster an organization’s resilience against potential threats, making it an indispensable tool in the landscape of modern cybersecurity. As organizations navigate increasingly complex environments, the advantages offered by this model become even more critical.

Media

Media

Integrations Supported

Integrations Supported

C#
CSS
Cursor
Dart
Devin Desktop
Gemini 3.5 Flash
Gemini 3.6 Flash
Gemini 4 Argon
Gemini 4 Flash
Gemini Enterprise Agent Platform
Gemini Managed Agents
Google AI Overviews
Google AI Plus
Google Antigravity
Java
JetBrains Junie
Kotlin
Lua
Rust
TypeScript

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Naoris Protocol

Date Founded

2018

Company Location

United States

Company Website

www.naorisprotocol.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Categories and Features

Blockchain

Not specified

Data Security

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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QSE Reviews & Ratings

QSE

QSE Group