AI risk management for Industry 4.0




AI benefits of industry 4.0

Now we live in the age of the completion of the third — digital revolution, which began in the second half of the last century. However, we are already on the verge of Industry 4.0, the fourth industrial revolution, when full automation of production will take place. 

All processes in Industry 4.0 are controlled in real time and are taking into account changing external conditions; smarter machines are capable of self-monitoring and performing self-diagnosis. Many aspects of automation are already actively used in the manufacturing industry, and artificial intelligence systems play a major role in them. With the help of smart technologies, it becomes easier to perform monitoring, minimize downtime, foresee maintenance needs and  control production processes. 


The flip side: AI risks

It goes without saying that the introduction of smart technologies is always associated with an increase in the risk of attacks. The components of a smart system are interconnected with each other, which makes it possible to produce work processes quickly and efficiently, but this is also a major hazard. 

Signal processing

Remote sensors and signal receivers can be fooled in case of deliberate signal manipulation.


Intrusion detection

Threat detection systems can miss malicious events in case of evasive behaviors.


Object detection

On-device computer vision can be fooled in case if attackers manipulate images.


AI incidents

The main danger of attacks on automated production is the ability of an attacker to move freely throughout the entire manufacturing network by attacking just one of its components. If an attacker wants to perform an attack on a manufacturing company’s smart tools, this can affect both the work of automated equipment involved in production processes, changes in production technology, as well as the safety of the employees themselves.

In addition, all smart systems use a huge amount of information that can be stolen by intruders: whether it is information about manufacturing technologies, personal data, or information about smart systems themselves and their algorithms.


How we can help with AI risk management

Our team of security professionals has deep knowledge and considerable skills in cyber security, AI algorithms, and models that underlie any content moderation system. Your algorithms can be tested against the most critical AI vulnerability categories that include Evasion, Poisoning, Inference, Trojans, Backdoors, and others.

We offer Solutions for  Awareness, Assessment, and Assurance areas to provide 360-degree end-to-end visibility on the AI threat landscape.

  • Secure AI Awareness to demonstrate AI risks and shape AI governance strategy. It consists of Policy Checkup, AI Risks Training Threat Intelligence for informed decisions;
  • Secure AI Assessment helps to perform AI integrity validation and identify AI vulnerabilities through Threat Modeling, Vulnerability Audit, and automated AI Red Teaming;
  • Secure AI Assurance helps to remediate AI risks and implement a lifecycle for AI integrity. It consists of Security Evaluation, Risk Mitigation, and Attack Detection.

Drop us a line!

Have doubts about the security of your systems, worry about the trustworthiness of the whole industry or the reputation of your business? Please write to us!