AI and cybersecurity
19
Dec

Reliable AI solutions to overcome cybersecurity challenges in 2020


No doubt, Artificial Intelligence (AI) is a double-edged sword when it comes to the cybersecurity industry. It simultaneously acts as a solution for cybersecurity professionals while it could become a weapon when in the hands of attackers. But with the unprecedented speed of the digital world, AI technologies seem to be a reliable option for countering the sophisticated cyberattacks. That is why 61% of enterprises believe that they wouldn’t be able to detect breach attempts if it wasn’t for AI. The advances of AI and ML (Machine Learning) are pacing up with the need of the hour. Its real-time data and analytics features are driving a large number of firms towards it. Even with such a promising rate, AI is rarely evaluated in terms of its impact on revenue and cost-cutting. This practice is about to change in 2020.

6 Predictions on How AI is to Impact Cybersecurity in 2020

AI has a lot in store for the next year, and here are some predictions from the experts of the industry.

1. AI and ML to contribute to asset management

Keeping the software and applications updated on a system could be a task of an IT management team, but it is certainly related to the security of an enterprise. Even the type of processes running on the network and the consumption of network bandwidth is an IT management problem, yet it could immensely affect the security of an organization. AI technologies can solve these problems by combining them in a single unit. The use of AI and ML for asset management will enhance the resiliency of endpoint security.

2. Detecting potential cyber threats using AI

The use of advanced AI tools helps in gathering and analyzing a vast range of data sets. These tools fetch data from static, dynamic, and real-time logs to detect potential cyber threats. As the AI solutions get mature, the outcomes using these tools will be more accurate than before.

3. Cybercriminals to simulate behavioral patterns

Threat actors, mainly state-sponsored actors, will increase their dependency on AI for decoding the defense mechanisms of organizations. Along with that, they can also simulate behavioral patterns to intrude on the system. This data is enough to leverage analytics for illegitimately penetrating the security infrastructure with a sophisticated attack.

4. Automating the security operations

With the massive amount of data available and a limited number of resources, AI can resolve both the issues by automating several security operations. Well, for effective response, calculating the scope and the severity of the cyber threat is significant. As security operations are becoming a big data problem, we need AI solutions to solve the issue.

5. AI can protect accounts from threat actors

Users go through several steps to protect their accounts from being hacked. They have passwords and captcha protection, but these approaches seem to be weakening with the well-planned attacks by threat actors. AI can easily identify a returning user and protect the entire customer journey, from account creation to the activities of the user. The businesses adopting AI solutions will be able to provide a more secure environment for their customers.

6. Defending AI with AI

The highly professional criminal networks are upgrading their hacking techniques; they are using AI to exploit user behavior or identifiable security gaps. All these attacks put organizations in a tight spot. An attacker needs just one vulnerability to operate while enterprises need to keep all their doors locked. To counter these sophisticated attacks, human intervention won’t be enough; enterprises need to step up their game with AI solutions.

In 2020, 63% (almost two out of three) of enterprises are planning to adopt AI solutions. Interestingly, even before 2019, nearly one in five organizations were dependent on AI for improving their cybersecurity stance. The same survey reveals that organizations use AI for several security operations – network security, data security, and endpoint security are the top three applications. Incorporating AI within the security system will give the cybersecurity professionals an upper hand while trying to defend the security infrastructure of an organization. It is a must that enterprises have Certified Ethical Hacker (C|EH) Master onboard who is trained in safeguarding the security infrastructure from different types of attacks. The employed professional should have hands-on experience and capability to counter known as well as unknown threats.

Leave a comment below if you believe AI will give an upper hand to cybersecurity professionals.

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