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Гео и язык канала
Эфиопия, Английский
Категория
Технологии
Статистика
Фильтр публикаций


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GAI_Pentest.pdf
632.2Кб
Generative Artificial Intelligence-Supported Pentesting: A Comparison between Claude Opus, GPT-4, and Copilot, 2025.


DeepSeek R1 is now live on Azure AI Foundry and GitHub


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Part 16: Understanding Threat Intelligence

Threat Intelligence is all about knowing the dangers that could harm an organization. It helps predict, prepare for, and fight against cyber threats.

𓇼 What is Threat Intelligence? 🕵️‍♂️
https://youtu.be/86fruE9jkKk?si=DEoSNzVpK3KRJCsP
•• Definition: It means collecting and analyzing information about cyber threats and attackers. This helps keep the organization safe by informing decisions and actions.
•• Objective: The main goal is to provide valuable insights that help in defending against cyber attacks.

𓇼 Key Components of Threat Intelligence:

1. Data Collection 📊
•• Gathering information from different places like open sources, dark web forums, security feeds, and internal logs.
○ Example: Watching hacker forums for talk about new vulnerabilities or planned attacks.

2. Analysis 🧠
•• Processing and studying the collected data to find patterns and possible threats.
Example: Spotting an increase in phishing emails targeting your industry.

3. Contextualization 🌐
•• Putting the analyzed information into a context relevant to the organization.
○ Example: Checking how a new ransomware strain might affect your systems.

4. Dissemination 📣
•• Sharing useful insights with the right people in the organization.
○ Example: Alerting the IT team about a detected threat so they can take protective measures.

5. Application 🔧
•• Using the intelligence to improve security measures, policies, and response plans.
Example: Updating firewall rules or training employees based on the latest threats.

By integrating threat intelligence into their cybersecurity strategy, organizations can better protect themselves against evolving threats. It's like having a security camera that not only watches for intruders but also learns and adapts to new break-in techniques. 🛡️🔐

If you have any questions or want to delve deeper into any aspect of threat intelligence, feel free to ask! Let's stay informed and secure together. 🚀


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Part 15: Exploring the Impact of Quantum Computing on Cybersecurity

Quantum computing is poised to revolutionize many fields, including cybersecurity. Here's an in-depth look at its potential impact:

Breaking Traditional Cryptographic Algorithms 🔓

- Description: Quantum computers could potentially break widely used cryptographic algorithms like RSA and ECC, which rely on the difficulty of factoring large numbers or solving discrete logarithms. A powerful quantum computer could solve these problems exponentially faster than classical computers, rendering current encryption methods vulnerable.
- Example: The RSA algorithm, which is widely used for securing data transmission, might become obsolete in the face of quantum computation.

Development of Quantum-Resistant Cryptography (Post-Quantum Cryptography) 🔐

- Description: To counter the threat posed by quantum computing, researchers are developing quantum-resistant (post-quantum) cryptographic algorithms. These new algorithms are designed to withstand quantum attacks and ensure the security of data in the post-quantum era.
- Example: The lattice-based cryptography and hash-based cryptography are potential candidates for future quantum-resistant standards.

Quantum Key Distribution (QKD) 🔑
- Description: QKD leverages the principles of quantum mechanics to securely distribute encryption keys, ensuring that any attempt to intercept the keys can be detected. This method offers unbreakable encryption for secure communication.
- Example: Quantum key distribution allows two parties to securely share a secret key, which can then be used to encrypt and decrypt messages.

Enhanced Random Number Generation 🎲

- Description: Quantum computers can generate truly random numbers, which are crucial for secure cryptographic operations. Quantum random number generators (QRNGs) provide higher levels of unpredictability compared to classical methods.
- Example: QRNGs improve the security of encryption schemes by ensuring that cryptographic keys are truly random.

◉ New Attack Vectors and Defense Mechanisms 🕵️‍♂️

- Description: Quantum computing introduces new attack vectors that require innovative defense mechanisms. Researchers are exploring quantum-safe security protocols to protect against potential quantum attacks.
- Example: Implementing quantum-safe networks and hardware that are resilient to quantum-based attacks.

◉ Long-Term Security

- Description: The transition to quantum-resistant cryptography will take time and resources. Organizations must start preparing now to ensure long-term security against future quantum threats.
- Example: Conducting an inventory of current cryptographic systems and planning for the adoption of post-quantum cryptographic solutions.


Understanding the implications of quantum computing on cybersecurity is essential for developing strategies to protect digital assets in the future. If you have any thoughts or ideas, feel free to share them in the comments below! Your feedback is always welcome. Stay tuned for more insights and tips on managing cybersecurity effectively! 🌐🔒


Did You Know? 💡
Quantum computing exploits the principles of superposition and entanglement to perform complex calculations at unprecedented speeds, posing both challenges and opportunities for cybersecurity


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