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2026 Gartner® Market Guide for CPS Secure Remote Access
AI Data Centers Face Growing OT & IT Security Risks
1 in 10 data center outages causes serious or severe disruption.
50% of data center operators reported an “impactful” cyber incident during the past 3 years.
More than two-thirds of data center outages cost above $100K and 25% cost more than $1 million.
43% of data operators allow third-party access to internal networks.
As of 2022, more than 20,000 instances of DCIM software, intelligent monitoring devices, thermal cooling management control systems, and rack power monitors were public-facing and vulnerable to cyberattacks.
Securing Critical Infrastructure Means Securing AI Data Centers
AI factories and data centers run on an ecosystem of interdependent systems and processes, including cooling mechanisms, CRAC units, PDUs, UPS batteries, BMS platforms, environmental sensors, and more. Any small disruption to a single component can quickly cascade into site-wide downtime.
Because AI data centers are distributed, always-on, and heavily vendor-dependent, remote access is essential for real-time maintenance and performance tuning. But each connection introduces potential risk. Without secure, identity-based access, operators face blind spots, lateral-movement risk, and compliance gaps that traditional remote access tools aren’t able to address.
Top challenges for
AI data centers include:
24/7 critical operations
AI data center operations run around the clock. Even a short disruption can lead to cascading system failures and service outages.
Remote operations & maintenance needs
With geographically dispersed sites and 24/7 operational needs, remote monitoring and maintenance are essential – even as they expand the potential attack surface.
Legacy equipment, modern risks
Legacy IT and OT systems, including mainframes, aging BMS platforms, and manual or analog PDUs, keep operations running but can open the door to sophisticated cyber threats.
High dependence on third-party vendors
Maintenance teams, OEMs, and other vendors need access to perform crucial tasks. But every extra connection is another possible entry point for attackers.
Limited visibility & control
Dispersed sites, hybrid setups, and third-party vendors make it difficult to gain a full picture of what’s really happening inside your networks.
Compliance under pressure
Growing cybersecurity and energy regulations require strong, auditable access controls to maintain certification and public trust.
At Cyolo, we believe security tools that disrupt operations, cause downtime, or add complexity don’t belong in critical OT environments.
That’s why our remote access solution is built for speed, simplicity, and safety as well as security.
With Cyolo PRO (Privileged Remote Operations), AI infrastructure teams get:
Fast, frictionless access
When every minute counts, Cyolo helps maximize uptime by providing connections with ultra-low latency, high availability, and no agent downloads required.
Easy deployment and simple scalability – without network changes
On-prem, on-cloud, or hybrid – scale seamlessly across multiple sites without rearchitecting your network.
Full visibility, full control over every connection
Monitor, record, and audit every privileged session to reduce insider threat and third-party access risks, with full activity logs, supervised access, and built-in reporting.
Data sovereignty by design
Keep all credentials, encryption keys, and session data fully under your control and inside your trusted boundaries.
Faster maintenance, stronger resilience
Ensure business continuity across all environments by accelerating maintenance and issue resolution while also maintaining uptime and preventing cascading failures.
Compliance baked-in
Built-in compliance features mapped to industry standards help you stay audit-ready while focusing on uptime.
Why AI Data Centers Are Becoming the Next Critical Infrastructure Target
As AI data centers take on the role of critical infrastructure, they face increasing cyber and operational risks. Learn why OT dependencies and legacy access models make them a high-value target.
The Growing Operational Risk of Third-Party Remote Access in AI Data Centers
Third-party vendor support is deeply embedded in AI data center operations, where interconnected systems require continuous tuning and optimization. But many operators lack clear visibility into what happens after vendors are granted access, creating both security and operational risk.
