5 Proven Reasons Why Artificial Intelligence is Sufficient for Data Protection
Learn all about how artificial intelligence is helping organizations and individuals protect their data in the modern age!
With the advancement of modern tech, data protection has become a concern for individuals and organizations alike. And as data volume and complexity increase, traditional data protection methods have lost their charm.
However, things are looking up for the cybersecurity industry ever since artificial intelligence (AI) has joined the scene!
In 2023, global AI in the cybersecurity market is valued at $22.4 billion, and it is expected to grow to $60.6 billion by 2028. These stats indicate that AI is a reliable solution to protecting organizations against cybersecurity attacks.
To explore this claim, we shall go through five reasons artificial intelligence is the key to robust data protection in the modern age! Let’s start with the core issue:
Data Protection and Modern Issues: What’s New?
The volume of the data is a big factor that complicates data handling and reshapes everything we know about data protection. Modern data has led to some modern issues, leaving organizations and individuals vulnerable to cyber attacks.
These threats risk organizational security and lead to targeted exploitations using different ransomware attacks, malware attacks, phishing attacks, etc. The costs keep piling up in terms of both reputational and monetary damage.
Source: Statista
With the sheer volume of data, the risk of data leaks increases as it becomes difficult to manually monitor security loopholes and follow data protection regulations like GDPR.
Limited resources, cloud security issues, intricate privacy laws, and more problems keep arising daily without some innovative solution to save the day.
Artificial Intelligence and Data Security: A New Threat?
According to a study, 71% of people believe AI (artificial intelligence) will be used for cyberattacks within the next three years. These stats highlight the fact that people still are skeptical of the technology.
However, the news does not come as a shock because AI models use excessive amounts of data to train, and where there is data, there is always the risk of a data leak.
Source: Gitnux
While it is true that cybercriminals can use AI to plan out cyberattacks, we must learn how to mitigate and eliminate security issues using these very models to help automate data protection policies.
5 Reasons Why Artificial Intelligence is Sufficient for Data Protection
Here is a breakdown of how artificial intelligence can implement better and more robust data protection strategies to ensure improved security and data management.
Enhanced Threat Detection
Due to extensive research in this domain, artificial intelligence (AI) makes it much easier for security experts to detect and mitigate threats. In recent study, “A systematic review of anomaly detection using machine and deep learning techniques”, the author states:
“Machine learning techniques, particularly deep learning, have enabled tremendous advancements in the area of anomaly detection.”
One real-world example could be how AI models are being used in financial institutions to detect fraud and scams. With artificial intelligence and its powerful algorithms, industries can analyze transactional data more quickly, detect patterns, predict trends, and flag fraudulent activity so that the organization can prevent financial loss.
Source: Forbes
Advanced-Data Encryption
Better encryption mechanisms are crucial for data protection in the modern age. While we have general encryption techniques like PPTP and L2TP protocols, artificial intelligence has enabled researchers to develop advanced techniques for data encryption.
Studies have led to the creation of various AI-driven encryption methods, including neural network encryption, genetic algorithm encryption, and even Quantum encryption. These AI-based techniques optimize encryption algorithms and generate much stronger keys.
With AI’s extensive computation power, encryption algorithms can detect patterns and vulnerabilities more adaptively and dynamically.
Examples:
Risk Assessment and Predictions
Artificial intelligence handles an abundance of data much more easily than traditional strategies. That is because this data can be effectively used to train an AI model that can help security experts with predictive analysis for data protection.
Predictive AI can help you with risk assessment to predict cyberattacks like zero-day exploitation. This way the security team can take appropriate measures to mitigate the vulnerabilities in the system before a full-fledged attack. According to a publication by IEEE Computer Society:
“AI-based systems can predict how and where you are most likely to be compromised so that you can plan and allocate resources toward areas of most vulnerabilities,” said Belani in the publication.
“Prescriptive insights from AI-based analysis enable you to configure and improve controls and processes to reinforce your cyber resilience.”
Automated Incident Response
Perhaps one of the biggest advantages of an AI-powered model is the ability to automate repeatable tasks and effectively manage data protection policies. That is because continuously monitoring and analyzing activity can be tiring if done manually.
Using AI’s real-time analysis and problem-solving capabilities, helps the security team minimize response time and even reduces the impact of security incidents.
According to an article by Tech science press, “19% of enterprise organizations have already deployed technologies for security automation and orchestration extensively, 39% have done so on a limited basis, and 26% are engaged in a project to automate/orchestrate security operations.”
Defense Mechanisms
Artificial intelligence not only helps you with assessments and monitoring, but it also assists security experts while taking action against security threats. Such intelligent models dynamically change their strategies to mitigate new threats effectively.
These algorithms can even learn from previous attacks to better equip themselves against these modern security issues. The algorithm can trigger automated responses, block malicious traffic, and even update organizational security policies to prepare for future attacks.
To Conclude
AI is changing everything we know about data protection and security. From encryption to antivirus, software, and everything in between. And while artificial intelligence can also increase the risk of breaches, it helps you mitigate cybersecurity attacks.
Advanced encryption, better threat detection, assessments, predictions, defense mechanisms, and more! You name it, and artificial intelligence has it.
All in all, it is necessary to balance AI and data protection while working in compliance with regulations or laws like the general data protection regulation (GDPR).