Cyberark has revealed, in his Report on the state of the identity of the 2025 machinesand Increase in safety incidents related to the identity of machines. This growth has been produced as the volume and complexity of them continues to grow.
72% of organizations have experienced at least one interruption related to certificates during the last year, and half of those responsible for incidents or safety gaps due to identities of compromised machines.
In 51% of cases, this caused delays in application launches, 44% affected the customer experience and 43%, unauthorized access to confidential networks or data. Likewise, it has been discovered that responsibilities to avoid risks with the identity of the machines are divided between safety equipment (53%), development (28%) and platform (14%).
There are more and more machine identities, including certificates, keys, secrets and access tokens. This, in addition, in a framework characterized by the growth of the adoption of AI and Native Cloud innovations. On the other hand, the useful life of the identities of the machines is shorter. As a consequence, companies have more and more problems to be up to date.
The Cyberark report, conducted from a survey among more than 1,200 business safety leaders from several countries, reveals the impacts on the business that occur when those machine identities are not effectively protected. 67% of respondents have suffered monthly interruptions for certificates in the last year, and 45%, weekly. Many more than in 2022, when 26% had monthly interruptions and only 12% per week.
At present, the identities of the machines overcome in number to the human, and their number continues to grow rapidly. 79% of security leaders have revealed that in their organization the number of machine identities will increase 150% in next year.
IA occupies an important position in when the future of threats to these identities. As the AI systems become an increasing objective for cyber attacks, 81% of security responsible believe that the safety of the identity of the machines will be vital to ensure the future of artificial intelligence. Meanwhile, 79% say that protecting manipulation and robbery AI models implies focusing more on the need for authentication and automation of machines identity.
On the other hand, the 92% of respondents for the Cyberark report reports some type of machines identity security programbut many of them have no maturity. 42% of respondents point out as their greatest concern about the lack of a coherent security strategy of their identities, and 37% point to the challenges to adapt to the identity life cycles of shorter machines (37%). The same percentage has the main concern in this regard that cybercriminals exploit the identities of stolen machines.
