How AI Security Works To Prevent Cyber Attacks | Digitdefence
Learn how AI security utilizes machine learning and predictive analytics to detect and prevent cyberattacks in real-time, enhancing system protection.
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0 replies3 likes
intrepidAni
Exploring beauty of ... • 9m
Are you interested in blockchain or Web 3.0 tech (decentralised internet)?
Today I was just thinking about exactly what happened to decentralisation and a question started bothering me-
Is decentralised web bad for big organisation?
In today's wor
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3 replies6 likes
LIKHITH
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Medial • 5m
Starlink's India licence application is set to proceed after the company agreed to meet the government's data localization and security requirements.
Elon Musk recently stated: "We will do our best to serve the people of India with Starlink."
6 replies3 likes
sujit singh
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Dual Infotech Group • 6m
A Blockchain-Based Data Security System for Android and iOS devices ensures the highest level of data protection by leveraging blockchain technology. This system allows users to track their mobile data in real-time, providing alerts if any data is st
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ADI D
Make future better • 4m
hello everyone one I want to tell my ideas and then tell my what can works and what can be not. Here are my idea :
1. AI-Os : operating system that automates tasks for professionals in law, healthcare, business, and development. It enhances producti
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7 replies3 likes
Nandha Reddy
Co-Founder & CSO @Me... • 7m
why do you think that security in India always has a side eye?.
• Are founders not aware of the risk they get due to a security breach?.
• Government of India don't have right laws in terms of security?.
• The security is implemented correctly, you
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1 replies9 likes
Harish Kumar
Hey I am on Medial • 3m
The future of cybersecurity focuses on using AI to detect threats, improving data protection, securing cloud platforms, and reducing risks through employee training.
Zero-trust models will ensure strict verification for better security.
These str
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Pulakit Bararia
Building Snippetz an... • 2m
How AI Works
1. Neural Networks – AI’s Brain
AI’s neural networks consist of three layers:
Input Layer: Takes in raw data (e.g., an image).
Hidden Layers: Process data to find patterns (e.g., detecting edges, shapes).
Output Layer: Produces the fi
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