AI For Cybersecurity Is Here To Stay-The Good And The Bad

The significance of cybersecurity in the business world cannot be overstated. A recent report by Accenture has revealed that cyberattacks have the potential to cost businesses more than $5.2 trillion in lost revenue and additional expenses. While artificial intelligence (AI) has brought about some solutions, it has also introduced new threats that did not exist previously. This has created a bittersweet relationship between AI and cybersecurity. However, it is important to acknowledge this relationship and take action to address it.

What Is Artificial Intelligence?

Artificial intelligence (AI) refers to the development and study of computer systems that are capable of performing tasks that typically require human intelligence. These tasks may include speech recognition, visual perception, translation, and decision-making. While AI has the potential to enhance these capabilities in a positive manner, it can also have negative implications, as discussed below.

The Good

The increase in cybersecurity attacks has resulted in the emergence of AI-based cybersecurity products, which are expected to reach a market value of $133.8 billion by 2030. As of 2022, these products were valued at just above $14.9 billion. Businesses can benefit from AI-based tools that aid in detecting malware and other threats and utilize a predictive model to anticipate future attacks and be better prepared.

One area where AI can be particularly useful is in vulnerability management. Organizations are often exposed to multiple vulnerabilities simultaneously, but they may not have the capacity to handle all of them at once. AI can help prioritize threats by sorting and identifying the most significant ones, allowing businesses to tackle them first.

AI can also aid in threat hunting, allowing organizations to proactively search for potential threats that have not yet been identified. By utilizing big data and other available information, AI can identify likely issues that traditional tools may not detect until an incident has occurred.

In the realm of network security, AI can improve monitoring and policy-making, ensuring that no malicious connections are made and that the environment is free of vulnerabilities that could be exploited.

Furthermore, AI can be utilized to optimize critical processes in data centers, such as backup power, power consumption, bandwidth usage, internal temperatures, and cooling, thus providing the most effective values to keep the infrastructure running efficiently.

The Bad

AI has become an essential tool in the fight against cybersecurity threats. AI-based cybersecurity products are predicted to grow to $133.8 billion by 2030, up from just above $14.9 billion in 2022. AI can be used to identify and prioritize vulnerabilities, hunt for new and undiscovered threats, monitor network security policies, and optimize data center processes.

However, the use of AI in cybersecurity also presents new opportunities for malicious actors and hackers to exploit company systems. For instance, hackers can use AI to scan networks for vulnerable applications and devices to target, create phishing emails with a higher chance of success, reverse-engineer AI systems to gain access to data sets, and evade static defenses like perimeter detection and firewalls.

As companies continue to use AI in their cybersecurity strategies, they must remain vigilant about the new risks it brings. While AI can help predict and prevent cyber threats, it can also be used to introduce new forms of malware or other dangerous threats.

Content Source: https://businessdor.com/ai-for-cybersecurity-is-here-to-stay-the-good-and-the-bad/

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