Decoding AI Benefits in Cybersecurity for Ultimate Data Protection

Artificial Intelligence has revolutionized cybersecurity before the generative AI boom. The introduction of AI in cybersecurity has been phenomenal, making anomaly detection and data security efficient.

A key indicator of how significant organizations are investing heavily in AI in cybersecurity is Cisco’s recent deal to acquire Splunk for $28 billion. According to Check Robbins, CEO of Cisco, the acquisition will enable AI-based security and observability capabilities.

Artificial Intelligence Benefits in Cyber Security

When it comes to cybersecurity, one of the most significant challenges is monitoring and threat response. This is why using AI in cybersecurity becomes crucial. It offers automation for threat response, making error detection and monitoring efficient.

1. Anomaly detection

Anomaly detection identifies rare events or observations in a system that raise suspicions. These are outliers different from standard data and can cause issues with the system. One of the key AI benefits in cybersecurity is the automation of anomaly detection.

You can use AI algorithms to detect outliers automatically. The best way to leverage AI for anomaly detection is to build a custom foundation model with specific perimeters. However, you can also choose ready-to-use AI models and fine-tune them for anomaly detection.

2. Intelligent threat response

AI helps organizations automate incident response and provide crucial recommendations for data recovery. An intelligent response to a threat requires thorough detection, system analysis, and devising strategic measures. The faster you deploy an incident response and recover data, less will be the damage to your system. 

AI models specifically designed and trained for intelligent threat response enable you to reduce the cost of data recovery. According to IBM, the total cost of data recovery from a cyberattack in 2023 is $4.45 million. Using AI in cybersecurity, you can ensure a reduction in cost through early threat detection and faster threat response.

In conjunction with intelligent threat response strategies, Lumify Work harnesses advanced AI models to automate incident response, offering organizations a proactive approach to minimize the total cost of data recovery in the face of cyberattacks. By leveraging AI in cybersecurity, Lumify Work ensures early threat detection and rapid response, aligning with industry standards to mitigate damages and fortify digital defenses in an evolving threat landscape.

3. Smarter encryptions

SSL certificates are the best option if you want to protect your website from malware attacks and secure data. You can buy an SSL certificate and install it on the server to secure data.

However, if your CA accidentally issues the certificate to an attacker with all your credentials gained through social engineering, it can lead to data leaks. AI in cybersecurity can help you reduce the risks of data leaks.

For example, Comodo’s incident of reissuing certificates for Microsoft and Google devices was later misused by cyber attackers. In such attacks, cyber attackers set up a phishing website with the same interface as Google and leverage the reissued certificate to manipulate the HTTPS connection.

Using AI, you can develop a model that differentiates valid X.509 certificates from malicious certificates. It can also determine whether a cyberattack affects a CA certificate and protect your sensitive information from exposure.

4. Predictive cybersecurity

AI algorithms have predictive capabilities that you can leverage to detect threats early and improve the security of sensitive information. For example, you can use AI algorithms to monitor and log each event in real-time.

Through advanced observability models, you can improve the resilience of the systems against cyberattacks. It also helps you reduce the chances of data loss and disruption in user experience.

5. Data protection

Software powered by AI can monitor the flow and accessibility of data, detect any abnormal behaviors, and immediately notify security teams. The software's ability to track patterns in data usage is instrumental in safeguarding sensitive information. 

You can create specific systems with AI models that monitor, analyze, and automatically develop a response for specific threats. This also includes data scrambling and making it unreadable for hackers. AI models paired with SSL certificates can help you scramble and descramble data to ensure security.

6. Data Management

Integrating AI into Security Information and Event Management (SIEM) systems can enhance data management. It prioritizes security alerts based on types of threats, resulting in streamlined security.

AI can analyze your systems; determine crucial data sets. How they can be secured from threats. Similarly, it analyzes different threats, categorizes them, and determines which is more severe.

Based on the severity of threats and data sensitivity, AI models implement specific security measures that help secure the data.

Conclusion 

AI benefits in cybersecurity go beyond just automation of threat responses. From rapid threat identification, log analysis, anomaly detection, and data management, AI offers tons of advantages.

However, it is crucial to understand the AI capabilities. In addition, how to use them for your systems. You must analyze your system's cybersecurity needs and then integrate AI.