CyberArk has announced significant enhancements to its Machine Identity Security portfolio, introducing advanced discovery and context capabilities. These improvements are particularly relevant as the growing complexity of machine identities poses unique challenges in cybersecurity.
With machine identities outnumbering human identities by an alarming 82 to 1, the demand for effective machine identity security is more pressing than ever.
CyberArk’s research indicates that 72% of security leaders have encountered outages related to certificates, while 50% have faced breaches stemming from compromised machine identities. This surge in incidents highlights the necessity for automated discovery and context-driven approaches to enhance visibility and control across enterprises.
“Implementing machine identity security programs has become increasingly complex,” stated Kurt Sand, general manager of machine identity security at CyberArk.
“With the rise of AI agents and vulnerabilities in software supply chains, customers need the visibility and control to manage their machine identities efficiently.” Kurt Sand
The newly introduced features include the CyberArk Secrets Hub, which helps address vault sprawl by providing comprehensive visibility into HashiCorp Vault instances, ensuring compliance without disrupting developer workflows. The Risk Management and Remediation Dashboard centralises observability across various secrets vaults, enabling organisations to identify high-risk areas and track compliance progress effectively.
Moreover, the CyberArk Certificate Manager offers real-time visibility into TLS certificate expiration timelines, essential as lifespans are set to decrease significantly—from 398 days today to just 47 days by 2029. This proactive management allows organisations to mitigate the risk of outages related to certificate renewals.
As security leaders in Asia prepare for the evolving landscape of cybersecurity threats, CyberArk’s enhancements provide a much-needed solution for organisations grappling with the complexities of machine identity security. With the integration of automated policies and deep DevOps capabilities, organisations can ensure that only trusted, compliant software is released, thus reducing infrastructure overhead.
The report from Arctic Wolf further reinforces the urgency of addressing human risk factors alongside machine identity security. With 68% of IT leaders reporting breaches and two-thirds admitting to clicking phishing links, the need for a comprehensive security strategy that encompasses both human and machine identities is clear.
The combination of CyberArk’s advanced capabilities and the insights from the 2025 Human Risk Report underscores the critical need for CISOs to adopt a holistic approach to security that includes training, policy enforcement, and robust identity management.
