Cyber Security Solutions Driven By Artificial Intelligence Are In Demand

Cyber security professionals are facing an unprecedented threat environment, with record-high numbers of attacks, shortage of qualified staff and increasing aggression and sophistication from nation-state actors. 

The rise in cyber attacks is helping to fuel growth in the market for Artificial Intelligence (AI) based security products.

AI has clearly emerged as a required technology for reinforcing the efforts of human information security teams. The global market for AI-based cyber security products is estimated to reach $133.8 billion by 2030, up from $14.9 billion last year.

Cyber security services have become common and are often used by private companies and the public sector in order to protect themselves from potential cyber attacks. AI presents many advantages and applications in a variety of areas, cyber security being one of them, but hackers are taking advantage, too: AI-generated phishing emails have higher rates of being opened than manually crafted phishing emails.

With fast-evolving cyber attacks and rapid multiplication of devices happening today, AI and machine learning can help to keep abreast with cyber criminals, automate threat detection, and respond more effectively than conventional software-driven or manual techniques. 

Here are a few advantages and applications of using AI in cybersecurity.

One of these services, recently acquired by industry leader Darktrace is Cybersprint, a Dutch provider of advanced cyber security services and a manufacturer of special tools that use machine learning algorithms to detect cyber vulnerabilities.  Darktrace’s current cyber security solution, which provides detection and response to cyber threats in real-time, will be strengthened by Cybersprint’s advanced tool, which employs artificial intelligence to collect information on possible attacks.  

• Based on attack path modeling and graph theory, Darktrace’s platform represents organisational networks as directional, weighted graphs with nodes where multi-line segments meet and edges where they join. In order to estimate the probability that an attacker will be able to successfully move from node A to node B, a weighted graph can be used. Understanding the insights gained will make it easier for Darktrace to simulate future attacks.

• Through its platform, Cybersprint provides organisations with a solution for conducting intrusion tests. The system allows organisations to conduct continuous scans and identify weaknesses in their corporate networks without having to hire external security personnel. 

AI-based cybersecurity systems can provide the latest knowledge of global as well as industry-specific dangers to better formulate vital prioritization decisions based not merely on what could be used to attack your systems but based on what is most likely to be used to attack your systems.

AI enables users to analyse a vast amount of data and allows cyber security teams to adapt their strategy to a continually altering landscape. 

AI systems help determine the IT asset inventory which is an accurate and detailed record of all devices, users, and applications with different levels of access to various systems. These advantages are just a small chunk of the potential of AI in improving cybersecurity. There are, however, some disadvantages to using AI in this field.

In order to build and maintain an AI system, organisations would need substantially more resources and financial investments.

As today’s environment is more dynamic than ever before and many intrusion testing reports become irrelevant within days of submitting, the combination of these two tools with Cybersprint can potentially provide real-time protection for companies and organisations. 

Since humans can no longer scale to adequately protect the dynamic enterprise attack surface, AI provides much needed analysis and threat identification that can be acted upon by cyber security professionals to reduce breach risk and improve security posture. 

IEEE:      I-HLS:     Balbix:    CNBC:     Data Center Knowledge:  

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