How big data, blockchain and artificial intelligence can enhance your cybersecurity

Big data, blockchain and artificial intelligence can take your cybersecurity strategy to the next level.

When we surf the web, we leave a trail of data. We never want our data to fall into the wrong hands.

Organizations that collect our data see this as a customer-centric regulatory requirement; spending a lot of time and money taking proactive steps to strengthen cybersecurity.

The rush to accelerate innovation, productivity and revenue growth is forcing organizations of all kinds to embrace digitization. Business leaders in organizations are actively seeking new ideas to be successful in their businesses. Companies are finally recognizing the driving force behind digitization—data. They are designed to collect, access, analyze and utilize large amounts of data from various sources in different formats. By using big data analytics to interpret the data they receive, they can uncover “otherwise hard-to-recognize” patterns that can completely improve their business. It’s true that organizations always use our data for useful purposes, but there are several criminal organizations eagerly waiting to steal our information and use it for unintended activities.

Organizations are now investing heavily in protecting their assets from hackers, thanks to data breaches that often make headlines. Organizations are lagging behind in determining the right way to curb this growing problem. By building security policies and governance models, companies can limit access to data to only project-related employees. However, in addition to this, companies should also utilize one or more of these technologies to ensure that cybersecurity is at an optimal level.

1. Big data analytics in cybersecurity

Source: IBM

With the help of data, organizations are achieving revenue growth like never before. However, we have also seen how this data poses the risk of cyber threats on a global scale. Now, what if we told you that the data collected could address this risk? Big data analytics can sift through various types of historical or real-time data, analyze it, and provide information about cyber resilience.

2. Blockchain in cybersecurity

Source: Blockchain Training Alliance

The credentials we use to perform online monetary transactions are recorded somewhere in the financial services database. The storage infrastructure used by these financial services is often centralized. But now, things are different. The incredible properties of blockchain help protect data from cyber threats. By using blockchain, organizations can store data in a decentralized ledger on the blockchain network. Any access, any sharing, or any addition to data on the blockchain ledger needs to be verified first. Relevant participants on a blockchain network need to enter a secret key (a combination of private and public keys) before they wish to record, access or modify any new data. Actually, it is not easy for a hacker to crack the key.

3. AI in cybersecurity

Source: Wipro

Cybercriminals are increasingly targeting the theft of digital assets. To solve this problem, artificial intelligence can play an important role in ensuring cybersecurity. By training the AI ​​algorithm with the correct historical threat data, the model can provide accurate information about the hacker’s proactivity. After gaining actionable insights into hacking activities, effective solutions can be built. We know that today’s modern technology helps us in many ways. But the ways in which these technologies are reaching out to curb online activity are incredible!

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