Cybersecurity and Artificial Intelligence: Leveraging AI for Web Protection

In a digital world, cybersecurity has become one of the major concerns, especially for SaaS or IT companies, individuals, and government. As technology continues to evolve over the years, cyber threats have advanced with frequency and sophistication. Traditional systems are no longer sufficient to protect sensitive data of the organization and its infrastructure.

To confront the increasing concern with cyber threats, cybersecurity professionals are gradually moving towards Artificial Intelligence (AI) as an impactful tool to safeguard a company’s defense system and combat cyber threats beforehand. In this article, we will learn how to leverage AI for creating a secure digital platform using varied tools including cheap wildcard SSL certificates, and more for organization for your better understanding.

AI Practice for Cybersecurity

Many IT companies connect AI technology with cloud computing, and deploying tools or strategies for cybersecurity is equally important to ensure the integrity, functioning of cutting-edge technologies, and confidentiality of the organizations. With effective cyber security strategies, SaaS companies can combine cloud computing, cyber security, and AI tools to build an impactful framework that mitigates vulnerabilities while securing sensitive data, infrastructure, and algorithms.

However, IT companies and AI product-based companies need to understand that cyber threats do not have a one-size-fits-all solution. Cybersecurity is an ongoing procedure. It is essential to be aware of new threats and security protocols in the field of Artificial Intelligence. In short, companies need to regularly review and update their security measures.

In addition, to overcome cybersecurity challenges in the emerging trend of generative AI and metaverse, cloud-managed service providers help organizations prepare for the next wave of change by leveraging Microsoft Security Solutions.

AI benefits in cybersecurity strategies, such as vulnerability assessment, detecting malicious activity, data recovery recommendations, policy enforcement, and more. Let us navigate a few factors that will help many organizations create a robust security framework utilizing AI.

Methods to leverage AI for web protection

One of the major challenges with cybersecurity includes – threat response and monitoring. And, AI in cybersecurity provides automation in monitoring, response to threats, recovery recommendations, and more.

Secured Development Lifecycle

When an organization is looking to build an AI-based SaaS product, organizations can consider implementing a robust and secure mechanism that will aid in the entire development procedure, including security measures at every stage of the development of the AI product lifecycle. This procedure includes certain perks for organizations in terms of cyber security like:

• Secured coding practice
• Regular software test
• Code reviews
• Threat modeling
• Detecting/ removal of vulnerabilities

Anomaly detection

The Anomaly detection process recognizes rare events or observes any suspicious activity. These can be outliers from standard data that can cause major security issues within the system. Cybersecurity experts are opting for AI as it offers automation with anomaly detection as well.

In addition, organizations can utilize AI algorithms to detect outliers inevitably. However, an ideal method to leverage AI for anomaly detection can be creating a custom foundation model that includes specified parameters. However, organizations can also opt for ready-to-use AI tools and optimize them in the system for anomaly detection.

Intelligent encryptions

If you want to safeguard your website from malware attacks, then SSL certificates are an ideal solution for your organization. You can buy an SSL certificate including a cheap wildcard SSL certificate to secure data and multiple subdomain names that fall under one base domain name.

If your Certificate Authority unexpectedly issues the certificate to the attacker, then the credential details gained with social engineering can cause major data leaks. However, leveraging AI for cybersecurity can save you from reducing the high risk of data leakage.

Through AI, you can establish a model to distinguish between a valid SSL certificate and a malicious certificate. Furthermore, it detects whether a cyberattack impacts a CA certificate and safeguards your sensitive data from exposure.

Top cheap wildcard SSL certificate providers

• Thawte
• Comodo
• Geotrust
• CheapSSLShop

A quick guide to buying SSL certificates 

• Consider Resellers – SSL CA has discount prices for bulk orders to distributors.
• Find your type of certificates – To buy from CheapSSLShop, you need to determine your ideal SSL certificate like domain validated, extension validated, or organization validated.
• Opt for a multi-year certificate – It is cost-effective compared to renewing the certificate annually.
• Compare SSL certificates – A few websites offer tools to Compare costs for varied SSL certificates for your convenience.

Predictable cybersecurity

AI algorithms have predictable capabilities that can aid your organization in leveraging AI to detect upcoming threats beforehand and improve its sensitive information security. For instance, you can monitor and log each event in your organization in real time.

By utilizing sophisticated observability models, it is possible to enhance the security of systems against cyberattacks, as well as mitigate the risk of data loss and user experience degradation.

Improved intrusion detection and prevention (IDPS)

IDPS plays a vital role in protecting networks from unauthorized access and even malicious activities. AI can strengthen the system learning from data history and analyze network behavior to identify new patterns of attack. Using AI, IDPS can adapt and evolve by identifying emerging threats, and creating an effective system to mitigate cyber-attacks.

Data Management Process

Integrating AI into your Security Information and Event Management (SIEM) can optimize data management. It sets security alerts based on the types of threats, resulting in a streamlined security framework.

Furthermore, AI can analyze data systems, and identical important data sets, and work on how they can be secured for sudden threats. Similarly, AI rectifies different threats, categories of varied threats, and properties on the threat that seems more severe.

Based on the sensitivity and severity of the data, AI tools implement customized security measures to help secure sensitive data.

Conclusion

Artificial Intelligence has been transforming the field of cybersecurity in recent years and tends to provide threat security, vulnerability assessment, enhanced incident response, automation, and more. However, it is important to understand the challenges and limitations of AI and security, understand your organization’s cybersecurity needs, and accordingly integrate best AI practices.