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There is a lot of buzz around artificial intelligence (AI) and machine learning (ML) technologies in the digital space. Whether we notice it or not, we use these technologies at least once our daily lives. Many companies have started using AI and ML tools to enhance their cybersecurity solutions. AI, ML, and other emerging technologies like deep learning (DL) play a major role in shaping modern cybersecurity solutions. With the hype of these technologies at its peak, let’s try to unravel these technologies:
Artificial Intelligence: AI is the intelligence exhibited by machines, in contrast to the natural intelligence displayed by humans. This technology allows devices to interpret and learn from internal and external data correctly, and use the learnings to achieve specific goals and tasks through flexible adaptation. Although AI is often misunderstood and not everybody agrees on its meaning, the technology has become more than a marketing label which is applied to systems that perform tasks having some semblance of automated decision-making.
See Also: Top Cybersecurity Companies
Machine Learning: ML technique learns from a company’s data through algorithms. These algorithms enable ML tools to predict, classify, and generate insights into the data stream. ML tools can be very effective in many cybersecurity solutions. For example, ML tools can efficiently detect a phishing scam as these tools can predict if a domain is malicious by examining the URLs, WHOIS data, and other properties. Rather than the conventional blacklist based matching which is not so effective in today's time, ML tools use powerful algorithms to assist the cybersecurity solutions.
Deep Learning: DL is an extended part of machine learning techniques, which is based on learning data representations, as opposed to task-specific algorithms. Although Deep learning is best suited for computer vision, natural language processing, and speech recognition, DL tools can assist in the cybersecurity by analyzing the packet stream and malware. The black box nature of DL techniques makes it an ideal ally for insider threat detection.