In cybersecurity, as cyberattacks become more and more sophisticated towards businesses, humans alone cannot keep up with the sheer volume of cyberattacks, AI and ML have therefore become crucial technologies in information security, as they can quickly analyze millions of events and identify many kinds of threats very easily.

With the increasing use of AI in cybersecurity companies, it is important to understand its impact on the field and the potential risks and benefits it brings.

Benefits of artificial intelligence in cyber security:

• Detect cyber threats: One of the primary benefits of Machine Learning, Artificial Intelligence, and threat intelligence in combination with Cyber Security is to detect and mitigate cyber threats in real-time. The role of AI in cyber security is to identify data patterns and anomalies that may indicate a threat. This allows organizations to respond quickly to potential threats, reducing the risk of a successful attack.
• Automate tasks: AI in cybersecurity also can automate many routine and repetitive tasks, freeing up security professionals to focus on more complex tasks and for example, updating security software.
• Vulnerability management: Integrating AI with cyber security like User and Event Behavioral Analytics (UEBA) can analyze baseline behavior of user accounts, endpoints, and servers, and identify anomalous behavior that might signal a zero-day unknown attack. This can help protect organizations even before vulnerabilities are officially reported and patched.
• AI’s Data Capability: AI can optimize and monitor many essential data center processes like backup power, cooling filters, power consumption, internal temperatures, and bandwidth usage. AI-based cyber security provides insight into what values would improve the effectiveness and security of hardware and infrastructure.
• **Reduce the cost of hardware maintenance: Using AI for cybersecurity can reduce the cost of hardware maintenance by alerting when the equipment has to be fixed. These alerts enable people to repair their equipment before it breaks more severely.
• Prevent credit card fraud: AI and ML are being used by banks also help prevent credit card fraud and keep customers’ information safe. AI can quickly detect unusual activity, such as purchases made from a different device or unusual transactions. AI-powered systems can then help to verify the credit card holder, helping to reduce the number of fraudulent transactions.
• Incident Response: AI-based systems are capable of offering improved context for responding and prioritizing security alerts, responding fast to incidents, and finding the main cause and issues to fix vulnerabilities and prevent future problems.

The Dark Side of AI: Challenges and Risks in Cybersecurity:

As Artificial Intelligence (AI) in cyber security is becoming increasingly popular. At the same time, it also provides cybercriminals with powerful tools that can be used to exploit cybersecurity.

Hackers are constantly looking for new ways to misuse cybersecurity vulnerabilities. They can use it to automate and accelerate their attacks, allowing them to target multiple victims at once and increase their chances of success.

On the other hand, AI software is itself vulnerable to data manipulation and poisoning, which destroys the integrity of its programs. Necessary procedures must be adapted to mitigate these issues and to protect and strengthen the functionality of AI.

Applications of ai in cyber security can also identify weaknesses in computer systems and networks, and then exploit those weaknesses to gain access to sensitive data or systems. It can also be used to create malware and malicious software that can be used to compromise networks or launch denial-of-service attacks.

Improve Cyber Security Using Artificial Intelligence:

AI and Cyber Security are among the most in-demand IT domains in the world and professionals in these fields are largely recruited all around the world.

If a company chooses not to use AI for cybersecurity, it may leave itself vulnerable to cybercriminals who are increasingly leveraging AI for their attacks. With AI-powered attacks becoming more sophisticated and difficult to detect, companies must embrace AI as a critical component of their cybersecurity strategy to stay ahead of the threats.

NetworkFort provides best-in-class automated real-time breach detection, prevention, and remediation. NetworkFort employs AI algorithms and a Machine Learning approach to identify crucial cyber threats in their earliest stages. Using behavioral predictive analytics, NetworkFort prevents any intruder from getting into your network and blocks access to the gateway.

To bring the power of AI to your organization’s Cybersecurity

contact us today.