By 2025, the Artificial Intelligence (AI) industry is expected to grow by $190 billion, says a report by Markets and Markets. And it is expected that 3 quarters of commercial firms will use AI in their software applications. One of the major areas where AI-capabilities are being used is cyber security. AI improves data processes and replaces the need for human intervention, allowing them to focus on other key areas. AI is gaining popularity, making it important for a security testing company to explore the untapped areas.
Just like AI, enterprises are also addressing their cyber security concerns while entering the new year with new resolutions. AI and Machine Learning (ML) open doors to new opportunities and accelerate technological progress. These technologies use real-time and analytics to build stronger business-driven strategies to achieve business goals. This calls for an increase in the cyber security spending of enterprises looking forward to unlocking endless possibilities with AI.
So, yes firms can improve their cyber security posture by using AI-enabled tools and solutions. Let’s have a look at how they contribute to business growth:
- Update Databases and Identify Large Scale Movements
Artificial Intelligence can be used to update security databases. It can detect new threats by analyzing logs collected from various sources. With AI technologies, firms can gather data from different records and identify new threats from malicious hackers. AI also helps in identifying malware trends by analyzing data across various platforms. Enterprises can use AI to detect new malware by detecting faster and way before they can cause large scale damages to businesses. It helps a security testing company to prevent exploitation by malware by fixing bugs and security flaws.
- Detection Of Security Vulnerabilities
AI-enabled tools detect any abnormal activity in a system. But AI does not just stop here, it focuses on highlighting bugs, weaknesses and security flaws. Injection AQL vulnerabilities are one of the commonly used viruses that attackers use to access a system. AI can help in staying up-to-date with the current cyber threat and also scan their own systems to identify defects that can be potential threats.
- Identifying Suspicious Activities
AI is also capable of scanning and detecting a system for any abnormal activity. It collects data from various sources to determine when a particular activity is not normal. AI and ML can be combined together to differentiate between what is normal and abnormal activity.
- Prevention of Attacks
As researchers unveil different possibilities with AI, it does not only detect a certain system for a flaw but also prevent these flaws from being exploited. Whether it is the addition of firewalls or fixing errors, it can use a proactive approach to prevent issues from occurring again.
- Response
This is somewhat similar to prevention but does not happen at the early stages when malware has already affected a system. As mentioned above AI and ML can detect normal and abnormal app behaviors, these technologies can also help in responding to malicious activities. AI responds to a malware or virus by providing damage control, removing the virus from the system or ensuring additional protections are placed to prevent the virus from affecting the system again.
Conclusion
AI does not limit itself to the extent of the above-mentioned factors. Of course, there is more to come. There are dozens of benefits that enterprises can enjoy in securing their systems. Security testing companies continue to leverage ML and AI to improve detection, prevent malware from spreading and enhancing customer security. AI has a long way to go, as it has a positive impact on the cyber security landscape.
Ray Parker
Latest posts by Ray Parker (see all)
- 4 Latest Trends In The Chatting Apps For 2021 - January 25, 2022
- The Shift to a Contactless World - January 25, 2022
- Tools For Cross-Platform Mobile App Development - January 19, 2022