How To Integrate AI Into Your Cybersecurity Strategy

How To Integrate AI Into Your Cybersecurity Strategy

Developing a comprehensive cybersecurity strategy can be tricky since it is a multi-faceted endeavor that requires initial and regular assessments.

When thinking about your cybersecurity program, there are many factors to consider. You will need to think about the individual characteristics and needs of your existing system, if you have one, as well as the goals you have for the improved system. Specifically, experts recommend that businesses analyze existing ransomware detection, privacy and data protection, adherence to federal and international regulations, as well as a breach response plan.

It is also important that you consider security solutions that are flexible and able to grow and expand with your business.


Requirements for cybersecurity have grown over the last several years. A good program will have the following, at a minimum:

  • Data Protection
  • Access Management
  • Multi-Factor Authentication
  • Secure Remote or VPN Access
  • Wireless Network Security
  • Backup and Disaster Recovery
  • Written Policies and Procedures
  • Employee Security Awareness Training
  • Regular Process Audits

One of the best ways to ensure that your system encompasses the items above is with artificial intelligence (AI). Artificial intelligence and Machine Learning (ML) are becoming ever-present in the world of cybersecurity. Many companies are using intelligence tools to analyze data and identify system threats.

AI is ideal for identifying new, disguised malware and security invasions and enables businesses to have a timely and proportional response to network threats.


When the time comes to begin implementing AI for your company, there are many important considerations, options, and necessities to weed through. Choosing the right software, consultants, and vendors are crucial to successfully integrating AI. Here we mapped out some steps to take and questions to ask during your implementation:

  1. Understand AI Abilities and Applications
    1. A successful approach requires a multi-pronged cybersecurity effort that understands how, when and where AI can effectively improve and streamline an organization’s cyber operations. Understanding the security inefficiencies and unique characteristics of your organization and industry is essential. Every industry and business has different needs and requirements. It is also important that you orient yourself and your cybersecurity implementation committee on the anatomy of a breach, a basic understanding of prevention tactics, common breach responses, and legal obligations for your industry.
  2. Establish Baseline and Long-Term Goals
    1. AI implementation can vary in magnitude from a few months to years to completion. Starting small with a strong baseline will allow your company to build a thorough program over time.
  3. Conduct IT Asset Inventory 
    1. Ensure a complete understanding of what devices and users will need to be covered by your cybersecurity program.  An accurate inventory and clear knowledge of any access points to your information systems is paramount.
  4. Decide on a Software Vendor
    1. Once you have your goals and needs identified you can begin to identify your vendor. One of the most important considerations when choosing a software vendor is to choose one who offers a comprehensive program. They should be able to meet your business where it’s at and provide a personalized solution for your goals. A company with a clear vision and expertise is ideal.
  5. Customize Your Software – Look for these applications:
    1. Malware Detection and Threat Identification: Through machine learning this software can analyze information about malware that has been detected in the past. Then, when a new type of malware emerges (whether a variant or entirely new) the system is much more adept at preventing or combating the attack.
    2. Email Monitoring for Phishing: AI systems are great for monitoring emails and using algorithms to detect phishing activity. It can also instantly retrieve harmful emails out of an inbox without delay.
    3. Encryption and Privacy Methods: Good AI encryption can prevent leaks of sensitive information by prompting confirmations before sending emails with sensitive information or attachments.
    4. User Behavior Modeling: AI systems are useful for identifying changes in user behavior to determine things like password and log-in patterns, and can alert security teams when the pattern is interrupted.
    5. Timely Incident Response Capabilities: An AI platform with the ability to develop reports with details on breaches, the types of data compromised, infrastructure, and compliance issues, as well as streamline internal investigation can greatly reduce or even eliminate  the need for manual effort in the breach response process.
  6. Finalize Internal Processes
    1. Organizations must be careful to not ignore the human element in their AI implementation. Organizations should designate an internal “person-most-knowledgeable” to act as a liaison with the AI software vendor, in addition to establishing clearly defined and organized workflows, policies, and procedures that extend beyond the security team. Including proper data storage at the individual level and staff training.

AI is changing the game for cybersecurity. It’s ability to analyze vast quantities of data, enable speedier response times, and enhance IT security operations is invaluable, especially as sharing of electronic information becomes more prevalent. AI in cybersecurity has seen tremendous growth in recent years due to the rate at which threats are evolving and the volume of attacks. It is a useful technology that provides some unique security benefits and shows promise for expanded adaptability in the near future. 

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