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Data Centers Face Growing 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.
AI Infrastructure is Critical Infrastructure
AI now powers real-time operations across manufacturing, energy, utilities, healthcare, finance, and more. As reliance on AI grows, AI factories and data centers are becoming as vital as power grids and public roads.
And even more than other critical infrastructure, AI operations depend on a vast operational ecosystem. Behind every AI workload are power and cooling systems, generators, switchgear, environmental controls, and industrial management platforms — all running across highly interconnected environments with continuous remote access needs and third-party vendor activity.
This complexity creates operational risk and raises the stakes of downtime. With AI now underpinning so many industries, disruptions to key systems can quickly spread far beyond the data center itself.
Disruptions to AI
Infrastructure Can Impact:
Critical Operations
Manufacturing, industrial processes, and day-to-day operations
Essential Services
Financial services, commerce, utilities, healthcare, public services, transportation, and more
Supply Chains
Logistics networks, fulfillment, and production timelines
Business Performance
Revenue, uptime, and operational continuity
Two Parallel Sets of Systems Bring AI to Life
White Side
The well-known compute layer: GPUs, servers, storage, and networking
Grey Side
The more hidden operational layer: power and cooling, environmental controls, fire suppression systems, and building management platforms
The Infrastructure
Behind AI Infrastructure
Few if any grey side systems were systems for modern access security. Unpatachable legacy equipment operates alongside IP-connected devices, vendor management platforms, and remotely managed assets — creating vulnerable entry points that can expose the broader AI environment and put operations at risk.
As AI infrastructure scales, the security of grey side operational systems is now inseparable from the security of AI itself.
Top Grey Side Challenges Facing
AI Data Centers Include:
24/7 uptime pressure
AI infrastructure operates continuously under extreme performance and availability demands. Even small operational disruptions can impact workloads, services, and downstream operations.
Power & cooling complexity
High-density AI environments rely on tightly coordinated power, cooling, and environmental systems that become harder to stabilize at scale.
Remote operations & vendor access
Facilities teams, third-party vendors, and OEMs all require continuous access to OT systems for maintenance, monitoring, and support — expanding operational exposure and risk.
Legacy Systems & modern connectivity
AI data centers often combine legacy OT systems with IP-connected devices, vendor platforms, and remotely managed infrastructure — much of it not designed for modern access security.
Limited operational visibility
Distributed environments and third-party access make it difficult to maintain consistent visibility and control across power, cooling, environmental, industrial systems, and other AI infrastructure.
Growing compliance requirements
As AI infrastructure increasingly overlaps with critical infrastructure, operators face rising pressure around operational resilience, third-party access, auditability, and cybersecurity.
Cyolo is Built to Secure the Grey Side of AI Infrastructure
Cyolo PRO (Privileged Remote Operations) provides secure, controlled access to critical grey-side systems, enabling OEMs, vendors, contractors, facilities teams, and remote operators to work efficiently without exposing the wider environment.
Built for cyber-physical operations, Cyolo PRO replaces broad network access with identity-based connectivity, enabling AI infrastructure teams to enforce least-privilege access across critical systems.
Every session becomes visible, auditable, and accountable — giving operators the oversight needed to support remote maintenance, respond safely to incidents, and keep critical systems running around the clock.
Cyolo PRO deploys without disrupting operations and helps AI data centers improve security, maximize uptime, and scale with confidence.
Cyolo PRO helps data center operators and AI infrastructure teams to:
Maximize uptime
Keep critical systems available. Enable fast, secure access to power, cooling, environmental, and industrial systems when every minute matters.
Secure third-party access
Give vendors the access they need — and nothing more. Enforce least-privilege access for OEMs, contractors, and service providers while maintaining complete oversight.
Gain full visibility and control
See and control every connection. Monitor, record, and audit privileged sessions across critical operational systems from a single platform.
Reduce operational risk
Protect the grey side without slowing it down. Minimize exposure from legacy systems, third-party access, and unmanaged connections while keeping operations moving.
Scale with confidence
Expand operations without expanding risk. Apply consistent access policies and controls across sites, campuses, vendors, and teams.
Stay audit-ready
Simplify compliance and governance. Centralize access management, session records, and reporting to support security and regulatory requirements.
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.
