Without artificial intelligence (AI), we would not have speech recognition technology such as Siri, search engines like Google or facial recognition capabilities. What’s more, financial institutions would not be able to prevent billions of dollars in fraud. Even so, AI remains controversial, and many companies are still on the fence when it comes to whether they should use it for learning about and preventing threats to their network systems. Is artificial intelligence security a smarter solution or just another flash in the pan? Questions still remain, but time and experience are enabling us to gain some valuable insights and determine an answer.
How AI in Cyber Security Enhances Your Digital Defenses
Most likely, your company and its management team have chosen to make cybersecurity a high priority. After all, doing so can substantially lower your risk of becoming the next data breach victim. To protect your valuable data and computer systems, you have probably implemented a comprehensive set of safeguards that include hardware and software firewalls, anti-virus and anti-malware tools, intrusion detection and prevention mechanisms and, of course, human monitoring to oversee the entire operation.
While this strategy is certainly viable, it is not 100 percent effective. At some point, your response protocols will break down. That’s where AI cybersecurity can provide that additional layer to bolster your defenses. When AI and cybersecurity operate hand in hand, you have round-the-clock protection and response. Instead of it taking hours, days or even months to discover the effects of attacks, using this new type of analysis tool can give you speed in the form of split second feedback that could save your enterprise thousands or even millions of dollars. In addition, it can improve the efficiency of people on your staff, particularly the analysts who oversee your systems and work to keep your environment safe from cyberattacks and breach. Furthermore, consider the fact that traditional information networks and technology solutions are becoming far too complicated for any human being or work team to understand and manage on their own. Without the enhanced analytics and other security measures that artificial intelligence in cybersecurity can furnish to your organization, you might find yourself falling far behind the curve.
Specifically, cybersecurity AI can offer the following benefits to organizations like yours:
- Biometric-based login features such as fingerprint and facial recognition;
- Threat detection through the use of predictive analytics;
- Better data analysis that enables your system to “learn” via natural and machine language processing;
- Securing authentication and access to information.
Companies who implement AI in their cybersecurity landscape can often detect potential attacks before a vulnerability can be fully exploited and then can use tools and technologies to mount a coordinated and effective response that reduces or even eliminates the impact of the breach.
The Disadvantages of AI For Cyber Security
When it comes to new tech solutions, one rule almost always holds true: they are costly, and AI solutions are no exception. Organizations wishing to incorporate them into their environments can expect a hefty price tag to go along with the top features and world-class breach prevention that they provide. However, new security-as-a-service enterprises have come on the scene and are helping to reduce the financial impact of bringing AI security measures into the business.
However, the acceptance and technology that are making AI cheaper for businesses are also giving the same benefits to the very cyber criminals it was invented to thwart. Phishing and other social engineering tactics are increasingly targeting even the savviest internet user, coercing that person into unwittingly making systems vulnerable. In addition, AI can lead to undesirable behavioral changes in your employees, who may assume that having these high-tech safeguards in place means that they do not need to be as careful about security in the future.
In the end, no virtual solution is sufficient to protect your networks and applications from cyber threats. The development of any robust security protocol should include a balance between human and cyber analytics and monitoring. No matter how quickly technology is changing, this pooling of resources, talents and skills is the best way to ensure that you have cutting-edge protection backed by unmatchable human knowledge and discernment.