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Gemini - The Runtime Application Self Protection (RASP) Solution Combined With Deep Learning
Gemini-Self-Protector, a pioneering solution that fuses the capabilities of Runtime Application Self Protection (RASP) with the transformative potential of Deep Learning. As the digital landscape evolves, the need for intelligent and adaptive application security has never been more critical. With Gemini-Self-Protector, a new era of proactive defense emerges, redefining how applications safeguard themselves in an ever-changing threat landscape.
By seamlessly integrating RASP technology into the very fabric of your application's runtime environment, Gemini-Self-Protector elevates protection to an unprecedented level. It dynamically monitors and safeguards various facets of your application's functionality, including database interactions, file operations, and network communications. This symbiotic union with Deep Learning empowers Gemini-Self-Protector to evolve and adapt its defense mechanisms in real-time, keeping pace with emerging threats and attack vectors.
Unleashing the Power of Gemini-Self-Protector:
Intelligent Threat Detection: Unlike conventional security measures, Gemini-Self-Protector intelligently discerns genuine threats from benign actions. This nuanced approach drastically reduces false positives and ensures that only genuine threats trigger alerts.
Adaptive Defense: Through the fusion of RASP and Deep Learning, Gemini-Self-Protector becomes a living shield for your applications. It evolves its defense strategies based on evolving attack patterns, providing an adaptable and future-proof safeguard.
Unraveling Complex Attacks: In the event of an intrusion, Gemini-Self-Protector doesn't just identify an attack—it unravels its intricacies. Detailed insights, including comprehensive stack traces, empower you to swiftly analyze, contain, and mitigate potential breaches.
Guarding Against Zero-Days: By harnessing the power of Deep Learning, Gemini-Self-Protector proactively identifies and mitigates zero-day vulnerabilities, fortifying your application against the most cutting-edge threats.
Experience the convergence of RASP and Deep Learning with Gemini-Self-Protector—an innovation that redefines application security, amplifies threat resilience, and empowers your digital ecosystem to thrive securely in an interconnected world.
The architecture of gemini-self-protector is composed of seven layers however it is optimized so as not to affect the performance on the application.
| Language | Platform/ Framework |
|---|---|
| Python | Flask |
Gemini uses a deep learning model that combines Convolutional Neural Network (CNN) and a family of Recurrent neural network (RNN) techniques to detect and identify vulnerabilities.
For more details: Web-Vuln-Detection-Predict