AI/ML As A Benefactor In Cyber Security
AI and ML are redefining cybersecurity—detecting threats faster, automating defenses, and outsmarting cybercriminals in real time. But without strong strategy and clean data, they can turn from shields to risks. Will AI secure our future or expose new dangers? Read to find out.
Digitization is growing very fast, touching every aspect of our lives. To truly apprehend the role of AI/ML in cybersecurity, we need to understand how cyber technology and its usage have evolved.
The Digital era exposed us to various threats. The importance given to cybersecurity has increased tremendously more than it is now.
From a security professional's perspective, the need for AI and ML is strong; looking for ways to automate the task of detecting threats and flagging malicious behavior. This means moving away from manual methods, which will free up time and resources to focus on other tasks.
Again, with today's fast-moving evolution, it's impossible to deploy effective cybersecurity technology without relying heavily on machine learning. It's impossible to effectively deploy machine learning without a comprehensive, rich, and complete approach to the underlying data.
Cybercriminals have their ways to outreach potential targets in this borderless world. Over the last decade, the rise in identity theft, data breaches, and money loss increased exponentially. This is where AI/ML tools and techniques are developed to play a significant role in fighting against these cybercrimes.
AI and ML are becoming major players, thanks to the fact that they'll stop threats in real time…
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