AI is currently the fastest expanding trend in cybersecurity, and for good reason. AI can be applied in most cybersecurity issues, including email filtering, cyberthreat detection, automated monitoring, anti-virus, and log-in security. Artificial intelligence can help with backup and recovery as well as standardizing cyberthreat detection and prevention. But how do cybersecurity AI platforms work?

Now that security experts are embracing the potential of artificial intelligence, cyberthreat detection and cyberattack protections are the newest face of AI.

Cybersecurity AI Platforms Mean Automation and Analyzation

AI benefits cybersecurity by automatically generating reports when cyberthreats are suspected in the network. Thanks to AI, large amounts of data can be analyzed with the end goal of developing new systems and software to reduce the risk of cyberattacks.

Cybersecurity AI solutions help protect businesses from existing cyberthreats, but they can do much more. AI network solutions can also monitor updated information in real-time by looking for news, studies, and articles involving cyberattacks. Cybersecurity organizations stay updated on evolving threats and risks, allowing them to create strategic solutions to help organizations stay protected.

Cybersecurity AI Platforms and Threat Detection

The main reason cybersecurity professionals are turning to artificial intelligence is to detect malware and cyberthreats. Traditional and boxed cybersecurity solutions can’t stay on top of the ever-changing trends in cyberthreats and malware, but artificial intelligence can.

Cybersecurity professionals, like Datum Consulting, are teaching AI to recognize malware, using complex algorithms to identify patterns in malicious software. The AI is trained to spot malware behaviors and isolate them before they enter the network. These cybersecurity AI solutions also use machine learning and predictive behaviors to spot potential risks.

Artificial Intelligence and Multifactor Identification

Cybersecurity experts, like Datum Consulting, recommend multifactor authentication for all user access to the business network. Multifactor authentication means that a user must log in using a few different security strategies, such as a password and a push to a mobile device when logging into a workstation.

AI allows this authentication framework to be more rigorous, even adjusting access privileges based on the user’s location and the network. AI can collect a user’s information to determine access privileges based on the user’s behavior.

Biometrics are becoming prevalent in the evolving world of cybersecurity AI solutions. These authentications involve scanning retinas, fingerprints, palmprints, and more. These solutions were originally the stuff of James Bond movies but, thanks to security experts, biometrics can be a feature of your cybersecurity solutions.

Chances are your smartphone already gives you a biometric login option. Cybersecurity AI platforms combine this with another authentication method, such as a password, before allowing access to the network.

Multifactor authentication is recommended by cybersecurity experts because passwords alone are no longer enough. Passwords alone, even complex ones, can be hacked far too easily. Multifactor authentication is nearly impossible to hack as it requires not only a password, but some other type of authentication as well.

Artificial Intelligence Isn’t Just for the Good Guys Anymore

One drawback to artificial intelligence is that it isn’t just for the good guys anymore. Increasingly, hackers are using this technology to modify malware and create programs to counteract cybersecurity AI solutions.

Unfortunately, this means that the bad actors are making malware that learns from cybersecurity AI and develops even more advanced attacks. Traditional cybersecurity platforms don’t stand a chance against these attacks, and most “boxed anti-virus software” doesn’t, either.

90% of cybersecurity professionals expect bad actors to continue to use and enhance their AI malware to fight artificial intelligence AV software.

Choosing the Right Cybersecurity AI Platform for Your Small- to Medium-Sized Business

Choosing the right cybersecurity AI platform can be confusing. There are several different types of AI, and each platform may use a different type or a combination of them. It’s hard to stay on top of these cybersecurity AI trends, but Datum Consulting has a few tips for your company to fight evolving malware.

• Hiring a cybersecurity partner that has the experience in skill in both legacy cybersecurity solutions as well as cybersecurity AI solutions.


• Having routine testing of your network and systems to identify potential gaps in security.


• Using a filter to block malicious links and URLs that may contain malware.


• Installing firewalls to protect your network and systems and updating them frequently to keep up with evolving malware.


• Monitoring outgoing traffic with exit filters restricting content and malicious URLs.


• Reviewing trending cyberthreats for updated information about your highest risks and adjusting your cybersecurity solutions to meet them.


• Regularly auditing software and hardware to make sure your network remains healthy and all risks are mitigated.

Outsourcing your cybersecurity makes sense because most organizations do not have the resources needed to build or maintain cybersecurity AI solutions. Creating these require large amounts of data and memory, not to mention personnel that scans and monitors trending threats for malware codes and anomalies and separate them from non-malicious coding.

To learn more about cybersecurity AI solutions, contact a friendly professional at Datum Consulting.