The risk of a cyber attack increases each year as a result of developing technology, as technology allows for potential attacks to be detected a lot easier. Technology works for both parties – those who hack and are hacked. Artificial intelligence for cyber security opens up new opportunities to protect organizations.

Artificial intelligence (AI) enables machines to learn and adapt using experience, and also to process large amounts of data. Tools that use AI in information security can help improve cyber security defense. Manual responses and interventions against cyber attacks are not sufficient to mitigate these risks. Therefore, AI comes into play as an effective tool by decreasing the workload and making operation faster.

Cyber threats are complex and various

The complexity of cyber threats makes it more difficult to detect attacks and to protect against them. Cyber attacks have become not only easier and cheaper, but also increasingly sophisticated. Thus, innovation in cyber security is a must.

Hackers are developers who strategize together on writing codes for malicious software, distributing malware, and more.  According to ISACA State of Cybersecurity 2018 Report, “Four in five security professionals (81 percent) surveyed indicated that their enterprise is likely or very likely to experience a cyberattack this year, while 50 percent of respondents indicate that their organization has already experienced an increase in attacks over the previous 12 months.”

Artificial intelligence for cyber security

Thanks to the application of artificial intelligence in security, even sophisticated hackers and attackers can be counter-worked. AI in hands of professionals can automatically detect and defend against these threats. It can be considered as an antivirus defense in our personal computers.

The nature of malware evolves too quickly to detect/analyze manually, allowing AI methods to shorten the time gap between the attack and the detection. AI and machine learning has become indispensable in the defense process with automation to detect threats in every sector and scale of companies. For example, Google uses special applications in almost all services through a machine-learning technique known as deep learning, which allows algorithms to do more independent adjustments and self-regulation as they train and evolve.

There is a long way to go to use artificial intelligence in an impactful way for cyber security; however, it is already trending upwards. Before deciding on your solution, you need to learn more about your threats. Free Security Cyber Risk Scorecard analyzes your security posture to measure the risk level of your company!