The vision of a modern power station, controlled by artificial intelligence algorithms and patrolled by autonomous drones, sounds like the promise of infinite efficiency. The digital transformation in the energy sector is gaining unprecedented momentum, however, resembling the construction of a luxury smart skyscraper where the door locks were forgotten to be installed in a hurry.
Investments that are intended to optimise operating costs unexpectedly become the Achilles’ heel of the industry. They threaten not only the integrity of sensitive data, but, above all, production continuity and return-on-investment rates.
From ambition to pressure: the digital sprint
The current technology landscape of the energy industry looks extremely intriguing from a business strategy point of view. Only a small percentage of companies, estimated at less than five per cent, can today be considered fully digitised entities.
The great promise of innovation, however, tempts with tangible benefits. The use of digital twins, advanced analytics and predictive maintenance appears to be a proven mechanism leading to drastic reductions in operating costs and improved delivery reliability.
Faced with such attractive financial prospects, almost three-quarters of organisations plan to achieve full digital maturity in just twenty-four months. Such an ambitious, if not bravura, timetable imposes a killer pace of change.
This naturally generates the risk of critical vulnerabilities in the security architecture, as the pressure for rapid deployments often wins out over the need to painstakingly test the resilience of new systems.
Profit and loss account after a hard landing
Enthusiasm about the implementation of innovations regularly collides with the brutal financial reality. Analytical data from market research sheds a whole new light on the ultimate cost of this technological rush.
It appears that around half of the energy companies operating in the market have already fallen victim to incidents with financial consequences exceeding the million-dollar threshold.
Crucially from a risk management point of view, it is not the possible ransoms levied by cybercriminals or the direct costs of advanced analytical investigations that place the greatest burden on corporate budgets.
The real, powerful problem is the hidden costs, more specifically production failures and halted operations. The average downtime after a successful security breach is around nineteen hours.
In a strategically important sector, where every minute of supply disruption means gigantic losses and the potential paralysis of the local economy, such a pause takes on an absolutely critical value.
Cracks in the system architecture
It is worth asking the question about the source of such drastic losses. The answer lies in the very structure of modern industrial networks. With every industrial internet of things sensor deployed, with every automated inspection drone integrated into the fleet and with every new connection between internal operational technology systems and the external cloud, the potential attack surface increases dramatically.
Historically, critical infrastructure has been protected by physical and logical isolation from global networks. However, this illusion of complete encapsulation has become a thing of the past in the age of ubiquitous convergence of IT environments with operating systems.
Modern control platforms continually exchange data with corporate networks. This creates a highly complex ecosystem in which the weakest, least secure link determines the stability of the entire energy company.
People and processes in the shadow of technology
The technology layer is just the tip of the iceberg, underneath which lie extremely complex organisational and human resource challenges. Rapid transformation requires not only massive investment in new software, but above all the right human skills.
Nearly half of the market players identify a severe shortage of skilled cyber security professionals as the most serious barrier to digitalisation.
An additional, often underestimated risk factor is the diluted responsibility within management structures. In most cases, the burden of creating security policies for industrial environments rests entirely on the shoulders of IT departments.
yTemporary in-depth understanding of the specifics of physical processes, production cycles and maintenance lies solely within the remit of operational engineers. This evident dissonance in decision-making creates a dangerous vacuum inside companies, which is exploited with great ease and precision by sophisticated criminal groups.
