Unveiling the Hidden Forces: How Third Parties and Machine Credentials May Lead to Massive Data Breaches by 2025
in the last year and incidents involving machine identities have surged by 70%.
Third Party Exposure: A Growing Threat
Third-party exposure remains a significant and growing threat to corporate cybersecurity.
These exposures are attributed mostly to the increasing reliance of organizations on using vendors and service providers to handle data and services, thereby broadening attack surfaces and complicating security management.
A high-profile example is the SolarWinds supply chain attack, where sophisticated actors exploited the update mechanism of SolarWinds’ Orion platform.
During this incident, legitimized third-party software was used as a Trojan horse to gain a foothold in victim networks, including several US government agencies.
Machine Credential Abuse: Lurking Behind the Scenes
Another underlying yet alarming trend is the rise in abuse of machine identities and credentials.
Machines – including applications, virtual machines, AI models, APIs, and IoT devices – have identities as users do.
These machine identities allow them to authenticate and communicate securely with other machines on the network.
The 2025 DBIR reports that cyber criminals are increasingly understanding the opportunities these credentials present.
Compromised machine identities can not only provide malicious actors access to sensitive data; they can also be used to move laterally within networks, remaining undetected by conventional defense mechanisms.
Protecting Against These Silent Threats
Defending against these silent threats requires a multi-faceted approach.
For third-party risks, organizations need to establish stringent vendor risk management processes, which include conducting regular security assessments and defining strict access controls.
When it comes to protecting machine identities, companies need to understand that traditional perimeter defenses are no longer sufficient.
Advanced threat detection capabilities that can identify suspicious machine behavior, alongside robust identity and access management (IAM) solutions, are essential for securing machine identities and credentials.
Conclusion
The cybersecurity landscape is constantly evolving, with the threats identified by the 2025 Verizon DBIR being the perfect example.
By recognizing and addressing the rise of third-party exposure and machine credential abuse, organizations can defend themselves against these silent but potentially devastating attack vectors.
It is crucial that enterprises remain aware of these trends and invest appropriately in their defense strategies.
