Super automation and the future of network security

Artificial intelligence technology has been integrated into various application systems , But research institutions Gartner Think ： The current application level and capability of automation technology can be further improved .Gartner Analysts predict ： Super automation technology will soon become a global business technology development trend . In the field of cyber security , Hyper automation can be a powerful tool for organizations to effectively manage numerous alerts and network events .

What is super Automation ？

Super automation integrates robot process automation 、 Machine learning technology and artificial intelligence , It aims to improve and perfect the business and technical processes that previously required the participation of human decision makers . Due to low code / No code development tools and agile DevOps The process is popular , Many enterprises have automated every day task . Super automation will bring robot automation and quality to a new level , Combine machine learning / Artificial intelligence technology to replicate human decision-making process .

Imagine an intelligent system making unusually fast decisions based on an unusually complex data set , This is super automation . today , Super automation can be used to improve business process management 、iPaaS Solutions and security systems . Tomorrow, , Super automation will become more advanced .

The main advantages of super automation are as follows ：

• Simplify and improve automation of work and processes .
• Improve business agility and DevOps Strategy .
• Enhanced low code / No code security .

The main disadvantages of super automation are as follows ：

• Next generation technology infrastructure is required .
• Integrated emerging technologies need to be further integrated .

Super automation and conventional automation （ For example, robot process automation ） What's the difference between ？

Super automation is still based on automation , But super automation combines artificial intelligence with automation tools , Expanded the scope , Increased complexity .

The application of super automation in the field of network security

Nowadays, remote work is increasingly advocated 、 Internet of things devices and multi Cloud Architecture , Many organizations compete to protect their important assets . In this context , The nature of network security is also undergoing fundamental changes . Most security solutions have been combined with the next generation of artificial intelligence technology . And the super automation technology will further enhance the practicability of these systems based on artificial intelligence , Let them make humanized 、 Decisions against time .

Besides , Cyber criminals are becoming more and more aware of artificial intelligence / How machine learning network security solutions work . Advanced super automated systems can make more complex decisions faster , So as to increase the complexity of the organizational defense strategy . More advanced artificial intelligence / Machine learning solutions are inherently more difficult to predict , Therefore, it is more defensive .

Gartner Think , Organizations with ultra automation will automate their business , Reduce operating costs 30%. But in the area of security , Use super automation to deal with network security events 、 The cost savings from improving the operation and maintenance process of complex multi cloud infrastructure may be greater . For security professionals , Super automation has been integrated into many next-generation solutions supporting artificial intelligence , Understanding the technical principle of super automation as soon as possible may be as important as understanding the principle of robot process automation and testing .

Some potential uses of super automation in the security field include the following ：

• Artificial intelligence systems use natural language to process review emails , To identify phishing attempts .
• The document security system uses optical character recognition technology （OCR） Read scanned documents , To identify personally identifiable information .
• Machine learning security solutions identify suspicious login contexts , Request further login information .

Gartner Organizations are encouraged to focus on projects with high feasibility and commercial value （ See the picture below ）.

 

The details are as follows ：

• Transaction fraud detection ;
• File based malware detection ;
• Process behavior analysis ;
• Abnormal system behavior detection ;
• Web Domain and reputation assessment ;
• Asset inventory and dependency mapping optimization .

Embrace automation more actively

Here's the thing to watch ,Z generation （ A generation of young people born after the rise of network technology ） More likely to embrace super Automation , They may also become the main force of adopting super automation technology in the next few years . This generation has grown up with digital technology , So today's supply chain leaders want them to be innovators , So as to accelerate the digitalization of supply chain , And pave the way for super Automation .Z A generation of technical professionals may find themselves rapidly adapting to the super automated world , So as to enhance the competitiveness in the market .

Gartner Specially pointed out , The COVID-19 has greatly accelerated the transformation of organizations to automation . The recession has raised concerns 、 Organizations cut costs and need more flexibility , These will further drive organizations to adopt automated resilient systems . In the increasingly complex network threat situation , Super automation will become the driving force behind the security industry .

Again , Security professionals may need to actively use super automation to save valuable time . As safety professionals sign contracts with large companies , Hosted security service providers （MSSP） Expand to a larger customer base , Super automation will save more working time .

Most industry professionals have realized that the application trend of automation technology is getting faster and faster . Super automation is based on automated and optimized processes , Supported by more powerful real-time decision-making , It naturally becomes the next stop of automation technology . For security professionals , Super automation enables a more resilient overall security architecture , In order to gain insight into the emerging new threats .

Reference link ：https://www.esecurityplanet.com/trends/cybersecurity-hyperautomation/