Owing to COVID – 19, enterprises have experienced significant disruption. While remote working has kept businesses afloat – it has also increased the surface for cyber attackers, which has led to massive network security risks as it makes an organization vulnerable to cyber threats. In the enterprise world, the privacy and safety of customers’ data are crucial. Hence, businesses need to focus on adopting a comprehensive cybersecurity architecture. And, this is where AI comes under the spotlight.
There is a compelling business case for using AI in cybersecurity as industries worldwide begin to investigate how this technology will help them improve their operations. Cybersecurity seeks to leverage AI and ML to improve the speed at which they detect cyber threats and mitigate risks.
Advancements in AI technologies, processing capabilities, and data availability are enabling computer systems to perform security tasks that once required human intelligence to execute, thereby improving threat intelligence, prediction, and protection. It is also enabling faster attack detection and response while reducing the need for intervention of human cybersecurity experts.
Key Benefits of AI-enabled Cybersecurity:
- Enhanced efficiency and accuracy of cyber analysts: While analysts spend a substantial amount of time in going through logs, AI reduces that time to a great extent and enables them to spend more quality time in analyzing incidents, understanding the patterns/ trends that the algorithms identify.
- Allows organizations to respond faster to breaches: AI-led technology is enabling businesses to automate countermeasures and prevent them from being the victim of a cyberattack while countering these digital threats. Continuously scanning for known or unknown anomalies that show threat patterns could result in a great time reduction and increased efficiency for enterprises.
- Reduction in the cost of detecting and responding to breaches: By applying artificial intelligence and advanced analytics to vast amounts of internal and external data, organizations can generate predictive and usable insights for threat assessment and risk mitigation. This also enables AI to learn from security analysts and improve its performance, leading to time-saving and better prevention against cyberattacks.
While AI has made significant progress in its applications across industries, its use in cybersecurity architecture can still be termed as nascent at the moment. Enterprises, with the help of cybersecurity experts, must identify areas where deploying AI-enabled cybersecurity can yield maximum ROI and build a roadmap with appropriate goals accordingly.
By Neelesh Kripalani, Sr. VP & Head – Center of Excellence, Clover Infotech