An artificial intelligence (AI) revolution is brewing in cybersecurity. A recent market report pegged the global artificial intelligence (AI) in the cybersecurity market to be worth USD 7.1 billion in 2018 and expected to reach approximately USD 30.9 billion by 2025, at a CAGR of around 23.4%.
There is a sea of change in cybersecurity attack patterns with enterprises turning to new technology and approaches to stay ahead of these threats. Thanks to the increasing volume and velocity of modern-day threats, enterprises are rapidly moving towards a threat detection and response approach— this is where artificial intelligence can greatly help.
Through AI-based solutions, enterprises will be able to improve threat intelligence, protection and detection at a much faster rate than before. AI will enable this by reducing the requirement of having specialized cybersecurity experts within the enterprise – a factor which will be welcomed by an industry which faces a rapid skill shortage in this domain.
An easier way to deal with data overload
Currently, there’s an overload of data for information security teams to deal with. The data is both structured and unstructured; analyzing it is a manual and repetitive task. Teams spend inordinate amounts of time on analyzing all this data manually — the risk for error is high and the time is also not spent productively.
Through machine learning and deep learning techniques, data analysis can be left to artificial intelligence, leaving cybersecurity employees to more productively use their time. By analysis and tracking millions of data from various sources, an AI system can be trained to better understand cybersecurity threats.
The power of automation
In the last couple of years, there have been fears raised over whether artificial intelligence will take over jobs, leaving humans redundant. It is natural to have such concerns leading to pushback against the implementation of AI in a workforce. However, when it comes to cybersecurity, AI and its resultant tools like machine learning and automation will actually augment a workforce.
Automation, for example, will mitigate repeatable tasks and operate them at a pace far greater than an average human being ever can, providing faster and better results. The benefit for cybersecurity teams is twofold – fatigue is reduced and time is spent on finding better ways to secure an enterprise.
Speeding up incident response through Artificial Intelligence
According to the latest study by Ponemon, the global average time to identify and contain a data breach is a whopping 279 days. Enterprises are aware that with the magnitude of threats around them, the incident response has become a key priority and artificial intelligence can be a key ally in this case.
AI can detect threats or suspicious activity on a real-time analysis sending actionable intelligence for incident response in a matter of seconds. By tapping into the power of artificial intelligence, enterprises will see a faster response to threats, enabling better security and intelligence.
Drive a more efficient organization
Cumulatively, the benefits of AI in cybersecurity add up to create a more efficient organization. With a better and more rigorous analysis of both unstructured and structured data along with continuous assessments of new threats, an enterprise’s cybersecurity framework is far more solid and defined. In the long run, AI-powered enterprises will be more efficient and have greater productivity.
Seqrite understands the need for enterprises to integrate AI into their cybersecurity efforts. GoDeep.AI, Seqrite’s proprietary Artificial Intelligence capability is now embedded in most of the inventory, offering a Cloud-based Deep Learning Module, Advanced Behavior Detection System and other powerful features to provide a unique AI-based cybersecurity solution.