Updated: Aug 1
Cybersecurity has always been a top priority for anyone doing business on the internet. The surge in artificial intelligence (AI) has provided a more effective and cost-efficient way to detect and prevent cybercrimes. The substantial growth of data makes it hard to extract only the useful information for cybersecurity analysis. Because of this difficulty, most businesses are moving towards AI-powered cybersecurity systems.
Cybersecurity systems are being used to protect everything from small businesses' account details to national security secrets. AI has improved cybersecurity by offering three significant advantages: faster detection time, reduced false-positives, and better insights over attackers’ tactics. With the sheer volume of data in network traffic, it’s necessary to use machine learning algorithms.
AI algorithms can quickly identify and track security events, resulting in faster detection and remediation. Additionally, AI algorithms can learn from larger data sets to help improve the accuracy of future predictions.
They can help reduce false-positives by determining the correct cause for errors. False-positives can become a serious issue because it overloads human resources, causing lower productivity and optimization. They can analyze the patterns in the false-positives, improving the identification system's accuracy, and reducing the occurrence of false-positives.
Better insights into attacker’s tactic is one of the most important advantages. AI algorithms can track dangerous activity on a network including collecting data on attacker geography, patterns of user behavior, and signatures of specific threats. Insights from these systems can inform us about developing threats, new types of threats, and emerging trends. Data Protection AI has significantly improved data protection.
AI algorithms learn from behavioral data for email and network traffic to detect and spot any suspicious activity. This means that any changes in employee activity will be immediately notified and scrutinized.
They can also protect sensitive data from unauthorized access using machine learning. If a security breach is attempted, the system can take action to prevent it, thus avoiding data loss or theft, and ensuring compliance with regulatory requirements.
Privacy-Preserving Technologies Privacy preservation is a topic of concern for virtually everyone on the internet. AI and machine learning have been used to protect the privacy of data. Augmenting machine learning with security features helps secure data and detect malicious behavior.
Examples of privacy preserving techniques are hash functions, such as SHA-256, homomorphic encryption (fully homomorphic encryption and partial homomorphic encryption), secure multi-party computation and differential privacy.
Secure multi-party computation (MPC) is a privacy-preserving technology with vast potential across industry areas. The technology enables different actors with different data inputs to execute algorithms on a specified computation without sharing their private data. This means that data owners can share data without disclosing it, nor any other private information whatsoever.
Artificial intelligence, as it relates to cybersecurity, data protection, and privacy preserving techniques, represents a significant improvement over traditional security methods. The ability to process large amounts of data quickly and accurately improves the detection and remediation time, while reducing the likelihood of false-positives.
Furthermore, because AI-based cybersecurity is always learning, the system becomes better over time, meaning it can spot emerging threats, including malicious and unidentified attacks. Finally, privacy-preserving techniques, such as MPC or homomorphic encryption, can keep personal information safe while managed between any party, without compromising the owner's privacy.
Overall, AI has brought a significant change in the fields of cybersecurity, data protection, and privacy-preserving technologies. With the use of AI, businesses can protect their sensitive data from external threats, while ensuring compliance with regulatory requirements. It is imperative to have robust and AI-powered security solutions when doing business online, which can help businesses grow and safeguard corporate assets.