How Can Artificial Intelligence Add Value to Cyber Security?

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Cyber security is major concern for all organisations. A recent EY survey found that Cyber Security is the top risk for financial services. The cyber threat is ever growing and constantly changing. It is becoming increasingly difficult to put the right controls and procedures in place to detect potential attacks and guard against them. It is now imperative that we make use of advanced tools and technologies to get ahead of the game.

A major weapon in the race against the cyber attacker are Artificial Intelligence (AI) powered tools which can be used to prevent, detect and remediate potential threats.

Threat detection is a labour intensive arduous task and AI can help considerably with the workload which is often like looking for a needle in a haystack.

AI machines are intended to work and react like human beings. They can be trained to process substantial amounts of data and identify trends and patterns. A major cyber security issue has been the lack of skilled individuals with organisations unable to find staff with the necessary skills. AI and machine learning tools would help overcome these gaps.

Despite what you’ve seen in the movies, robotic machines are not about to take over the world!  Human intelligence is unique characteristic which a robot does not have (not yet anyway). Cybersecurity isn’t about man or machine but man and machine. A successful cyber strategy means machine intelligence and human analysts working together.

The machines perform the heavy lifting (data aggregation, pattern recognition, etc.) and provide a manageable number of actionable insights. The human analysts make decisions on how to act. Computers, after all, are extremely good at specific things, such as automating simple tasks and solving complex equations, but they have no passion, creativity, or intuition. Skilled humans, meanwhile, can display all these traits, but can be outperformed by even the most basic of computers when it comes to raw calculating power.

Data has posed perhaps the single greatest challenge in cybersecurity over the past decade. For a human, or even a large team of humans, the amount of data produced daily on a global scale is unthinkable. Add to this the massive number of alerts most organizations see from their SIEM, firewall logs, and user activity, and it’s clear human security analysts are simply unable to operate in isolation. Thankfully, this is where machines excel, automating simple tasks such as processing and classification to ensure analysts are left with a manageable quantity of actionable insights.

It’s essential that we respond quickly to security incidents, but we also need to understand enough about an incident to respond intelligently. Machines play a huge role here because they can process a massive amount of incoming data in a tiny fraction of the time it would take even a large group of skilled humans. They can’t make the decision of how to act, but they can provide an analyst with everything they need to do so.

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Posted on : 28-07-2018 | By : richard.gale | In : Uncategorized

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