Impact of AI on Cybersecurity in the Age of Digitisation

By Prashanth GJ CEO TechnoBind

There will hardly be any IT sector today untouched by the influence of Artificial Intelligence. AI has garnered much debate and speculation, and it continues to do so. It has gone through extensive research and development, which has naturally led to an increase in AI-based products and solutions. These are now slithering faster into our day-to-day life, more than most of us are aware.

The drastic shift to digitisation has led to higher adoption of cloud-based solutions. Billions of devices access multiple clouds 24×7, leading to data generation increase to titanic amounts. The proliferation of cloud-based applications, IoT connected devices and the challenges arising from remote working is the foundation of an IT infrastructure that is complex to manage using only humans. AI has therefore become a critical technology in information security, as it can quickly analyze and identify and mitigate multiple cyber loopholes faster and with far more accuracy. AI-integrated cybersecurity systems help tackle data vulnerability steadily growing with businesses expanding beyond their initial technological capabilities.

“IT architectures are ever-expanding and also becoming more complex. Adding newer solutions to the existing networks increases the intricacy, and there are high chances of leaving gaps in the cybersecurity fabric. So companies must rely on a technology that acts faster on identifying the loopholes and improving the security posture efficiently and effectively. AI-based solutions can help identify the security team on the current gaps and the possibilities for any emerging future lapses and crises,” explains Prashanth GJ, CEO, TechnoBind.

Benefits of Amalgamation of AI into Cybersecurity

• Promptness in detecting threats is one of the key attributes of using AI in cybersecurity. Traditional cybersecurity software cannot keep up with the sheer volume of new malware and cyber threats. AI-enabled cybersecurity systems can process these new threats quickly, and its continual learning the system can train itself to detect malware, run pattern recognition and detect even the minutest change that could be malware or ransomware.
• Automation of threat detection and its eradication without human interference is one of the crucial features of AI-based solutions. AI in cybersecurity incorporates more sophisticated and robust models and simplifies the existing ones. Data deception is another aspect that hints towards a more secure future, where these organizations can detect, analyze and defend against attacks by predicting and tracking them.
• Vulnerability management is very crucial to an organization’s network security. Every IT organization today, big or small, is subjected to several risks round the clock. Hence, vulnerabilities must be actively detected and eliminated. Vulnerability management may be aided by analysing and assessing the already existing security measures with the help of AI Investigations. AI can analyse systems much faster than cybersecurity experts or teams, enhancing your problem-solving abilities.

What the future holds
Advanced technologies make large-scale digitalisation possible. With AI integrated into cybersecurity systems, businesses stay protected from malicious activities. AI provides the necessary threat detection tools to track and identify security breaches and reinforce the security systems. AI in cybersecurity is proving itself to be the ultimate solution for defending cyber-crimes.