Artificial Intelligence Systems Becoming Default To Tackle Cybersecurity
AI has become a popular buzzword in the IT and Tech industry, similar to other terms like cloud computing, big data, and IoT. Professionals in the cyber security industry are particularly interested in the capabilities and potential of AI after the release of OpenAI's interactive chatbot and ChatGPT.
Machine learning and AI are crucial for information security, as they can analyze large data sets and identify various types of threats, including malware and phishing attempts. AI's ability to continually improve by learning from its mistakes and expanding its database is another advantage that sets a precedent for the algorithm.
As cyber attackers continue to develop new techniques to exploit vulnerabilities in systems, AI is increasingly being used as a defence against ransomware attacks. AI can strengthen systems, keep up with criminals, automate threat detection, and predict breach attempts. As a result, the impact of AI on the cybersecurity industry is only just beginning and is expected to grow in the future.
AI vs Cyber Attacks
AI can be highly effective in preventing and identifying potential security threats. By utilizing complex algorithms, AI systems can detect malware, perform pattern recognition, and identify even the smallest indications of malware activity before it can infiltrate the system.
AI-powered cybersecurity systems can also provide information on global and industry-specific threats, allowing for the development of priority-based strategies for current threats and potential ones.
Battling Bots
Bots have a significant presence on the internet and can engage in various malicious activities such as stealing credentials, account takeover, data fraud, and creating fake accounts. AI and machine learning can aid organizations in building robust defences against these harmful bots.
This is accomplished by deeply understanding website traffic and differentiating between good bots (search engines and crawlers) and bad bots and human users. AI can address gaps not handled through manual labour, improving efficiency.
AI can analyze large amounts of data, providing cybersecurity teams with valuable information to modify their strategies. It can also identify patterns between normal and suspicious user journeys, allowing teams to avoid malware. Additionally, AI can provide organizations with prescriptive-based analysis, highlighting areas that can most likely be compromised. This enables security teams to allocate resources to vulnerable sites and implement preventative measures to secure data.
AI in Securing Remote Operations
The industry has seen a rise in the use of remote operating devices, but this comes with the risk of cyber attacks. Artificial intelligence (AI) can be crucial in securing these systems, as it
establishes standards for endpoint behaviour through consistent learning. Unlike VPNs, AI-based protection does not rely on signatures to track threats, allowing immediate flagging of actions outside ordinary parameters. This proactive approach allows organizations to address the daily challenges presented by cyber criminals.
Initiatives from the administration are also essential for reinforcing and strengthening cyber security systems. The recent allocation of over Rs. 600 crores in Budget 2023 is a positive sign that the government is willing to invest in uplifting the industry and positioning India as a global leader in cyber security practices.
However, this is just the first step in the right direction, and both the industry and the government need to make more efforts to promote the sector in the mainstream of the technological landscape.
The pandemic has led to a boom in cybersecurity infrastructure overall, and AI has been at the forefront of the digital revolution in the healthcare sector. The future scope of AI integration in cyber security is virtually limitless and holds significant promise.
AI has the potential to strengthen, reinforce, and enhance our cybersecurity capacities, making our systems impervious to attacks or breaches from third-party organizations.
