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AI and Blockchain Technology

Enhance Cyber Data Safety Using AI and Blockchain Technology

5 min read

In today’s world, many organizations, applications, and daily life tasks depend on artificial intelligence. Whether it’s a food ordering app or an account opening in the bank, we rely on AI in many capacities to some extent.

Even though AI has given a lot of benefits to humanity, the most significant challenge humans face now is privacy and data breach. AI and Blockchain technology joined hands to become more helpful and practical in analyzing and decoding the data. 

Cyber security has become a massive necessity of the time. The initial models of both technologies also serve as the initial phase of cyber security. Initially, AI identifies, and then, blockchain blocks the potential attack on the information. Blockchain gathers the parts of data in an encrypted form. AI uses those nodes only to collect essential information and derive analysis without any leakage.

However, as blockchain networks grow more complex, these security measures face substantial challenges that could compromise the technology’s reliability. Companies use AI and Blockchain to enhance cyber security by preventing incidents and unfortunate events.

How Are Companies Using AI and Blockchain Technology in Data Security?

Multiple organizations effectively combine AI and Blockchain Technology for improved cyber security. Almost every giant company, like Nike, Amazon, and Bank of America, uses AI and Blockchain technology to identify and mitigate threats to improve data security.

Endor is one example where they employ AI and Blockchain on their predictive analytics platform to anticipate cyber threats. In addition, AI can identify the data pattern and alert the company beforehand to prevent loss. 

Likewise, IBM Watson utilizes AI to promptly detect threats in their Blockchain network, showcasing the practicality and effectiveness of this integration. IBM Watson can also run a data vulnerability test so it knows the chances of getting leaked or hacked by a third party. 

These are some case studies of AI in Business and how many organizations benefit from modern technologies. 

Opportunities in Using Blockchain and AI for Security

Data security and improvement are in their initial stages in artificial intelligence and Blockchain. The combination can prevent many hacking or intervening attacks efficiently. Using AI and blockchain technology, cryptocurrency and other businesses find various ways to fight cyber crimes and identity theft. 

Integrating AI with Blockchain security can offer several advantages:

  1. Predictive Analytics for Fraud Detection: AI can analyze patterns and predict potential fraudulent activities before they occur, enhancing Blockchain security.
  2. Real-Time Threat Detection: AI algorithms can scan multiple data points in real-time to identify threats, speeding up response times. Meanwhile, Blockchain will ensure that the data nodes are perfectly encrypted. 
  3. Enhanced Privacy Protection: AI and Blockchain technology can automate data encryption, ensuring privacy protection. AI creates better data flow in every node of the Blockchain. 
  4. Fast and Timely Response to Attack: Integrating AI and Blockchain can lead to faster response times and improved accuracy, offering a robust security framework.

Challenges in Integrating AI and Blockchain for Security

The combination of AI and Blockchain can save data leakage and breach. However, after a certain point, it cannot control the data. In such scenarios, both models need better and more advanced technologies. 

Despite the opportunities, several challenges also come with integrating AI and Blockchain for data security.

  1. Technological Complexity: The complex nature of both AI and Blockchain can make integration challenging, requiring sophisticated technical knowledge. Only some tech scientists can skillfully run these technologies, hindering data saving. 
  2. Data Privacy and Control Concerns: AI’s ability to access and analyze data raises concerns about privacy and control. Despite various uses, AI gathers data from all forums and social media. This quality of AI can become the reason for mistrust and misuse. 
  3. Not So Cost Effective: Implementing AI within a Blockchain network can be expensive, limiting its feasibility for some organizations. The data and privacy breach is pivotal if the organization cannot afford to put these technologies effectively. 
  4. Lack of Legal Regularities: Despite being so helpful in so many departments, the legal legislature about AI and Blockchain technology is still developing. The lack of legal support can also cost a lot of data breaches without any regulations. 

Understanding the Concept of Decentralized identity (DID)

Decentralized Identity (DID) is a concept powered by Blockchain that can enhance the privacy and security of personal data. Simply put, it gives individuals complete control over their digital data.

Various third-party organizations own and control most of our digital identities and interactions. DID aims to change this, to return data ownership to the individuals. This can benefit individuals and organizations who’d otherwise have to safeguard the data.

One of the biggest advantages of DIDs is that they reduce the chances of unwanted data linking. Today, using common identifiers like email addresses across multiple sites can allow entities to link data about a single person across different systems without their consent. DIDs reduce this risk, giving users more control over their digital identities.

Using DIDs in managing data is getting common in most companies. It integrates the technologies of AI and Blockchain, but the access remains controlled. It reduces the chances of data leakage to a great extent. 

Integrating AI and Blockchain technology presents exciting opportunities to enhance security measures in the digital world. While challenges exist, they are not invincible. 

With continuous research and development, we can effectively leverage AI for enhanced Blockchain security, opening new doors in cybersecurity. As we progress, a deeper understanding and exploration of these two revolutionary technologies will be integral to shaping a secure digital future.

To learn more about DID, AI, or Blockchain, visit our website AIThinkBot

Other than linking accounts, decentralized identity (DID) can also provide a safer platform to preserve your data and sensitive information.

There are no federal laws explicitly regulating AI or applications of AI, such as facial recognition software, data theft, and selling sensitive information, among other topics.

AI holds the potential to automate several aspects of Blockchain development. Applying machine learning and other AI technologies could automate tasks such as writing smart contracts or testing Blockchain applications.

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