Context
Gartner defines CPS PPs as a new product category that uses knowledge of industrial protocols, operational/production network packets or traffic metadata, and physical process asset behavior to discover, categorize, map, and protect CPS in production or mission-critical environments.
For CPS security teams, a CPS PP is the central tool that supports different core outcomes. In today’s market, asset inventories, topology visualizations, threat and exposure management, and recommended actions capabilities are standard components of a CPS PP offering. Traditionally these capabilities were delivered through a passive monitoring method, in which sensors were deployed to “listen” to network traffic from SPAN or TAP ports and use DPI to obtain detailed information about assets and events.
Technologies like safe active polling have been deployed for some time now, but the market is evolving to where lightweight agents have been developed by the vendors for deployment on suitable devices in the CPS environment. This approach allows users to obtain more detailed insights through an asset’s details and behavior.
As the market matures, buyers of CPS PPs expect high fidelity of asset inventory data, ease of deployment, and integration with IT security tools, like SIEM and CMDB. Vendors have invested time and effort into adding AI capabilities. AI-driven innovation is fundamentally transforming CPS security by moving beyond static asset inventories and manual alerts toward autonomous, context-aware visibility and predictive remediation.
The key objective is to reduce safety and security risks in production or mission-critical environments while minimizing performance impact and improving ease of use.
Market Definition
Gartner defines cyber-physical systems (CPS) protection platforms as products that discover, categorize, map and protect CPS in production or mission-critical environments outside of enterprise IT. They do so by analyzing or interacting with industrial/industry-specific protocols and operational network traffic. They understand physical process asset behavior and do not interfere with CPS operations. They can be delivered from the cloud, on-premises or in a hybrid form.
Gartner defines CPS as engineered systems that orchestrate sensing, computation, control, networking and analytics to interact with the physical world (including humans). When secure, they enable safe, real-time, reliable, resilient and adaptable performance.
The CPS protection platforms market exists because:
The attack surface is growing: CPS are usually core value creation assets and, if they go down, they can impact human health and safety, halt production or derail missions. The more connected they become, the more they expand the attack surface. This increasingly makes them attractive targets for ransomware, industrial espionage or geopolitically motivated attacks. From operational disruptions of pipeline operators to halted machinery at shipbuilders, the number of disclosed attacks continues to rise.
Threats are on the rise: Malware purposely built for industrial environments, such as INDUSTROYER.V2 and Pipedream, are emerging.
More vulnerabilities are surfacing: They remain difficult to manage, as CPS cannot be patched at will.
More regulations, directives and frameworks are emerging: Due to the increased threats to critical infrastructure-related organizations, governments are recognizing that the ubiquitous CPS technology landscape supporting them is key to national security and economic prosperity.
Manual asset inventories are time inefficient and costly: IT security tools are inappropriate for many CPS environments.
Mandatory Features
The mandatory features for this market include:
Vendor-native asset discovery, visibility and categorization
Support for modern, but also unique, industrial/industry-specific protocols (including reverse-engineered ones deployed decades ago), while not interfering with the operation of any device
Detailed network topology and data flow diagrams
Detailed pedigree of assets, including but not limited to the manufacturer, model, serial number, MAC and IP addresses, operating system, version, service pack, etc. — included for nested devices
Vulnerability information and recommended actions to include contextualized CVE/CVSS scores and the likelihood of exploitability
Threat intelligence information and simulations, as well as recommended actions, to include playbooks and policy enforcement remediation options
Integration with IT security and asset management tools
Risk scoring and recommended actions to include remediation options and impacts on alignment to standards
Common Features
The common features for this market include:
Baseline and configuration management
Incident response and forensics
Network-segmentation-related features and functionalities
Security frameworks compliance reports
Various role-based user interfaces, such as one for security teams, one for maintainers, one for engineers or one for OEMs, to support various use cases
Machine learning capabilities to enhance asset discovery, establish behavioral baselines, improve anomaly detection and root cause analysis or fine-tune risk prioritization
Strategic partnerships with original equipment manufacturers (OEMs) and other security vendors
Product/Service Class Definition
CPS PPs are the foundation to CPS security. They combine asset- and network-centric approaches into a single platform, enabling their combined strength to add capabilities across a broad range of security controls.
Vendors are rapidly adding AI-/ML-based capabilities. Gartner has identified that AI currently addresses a number of specific needs in CPS PPs.
Improving asset discovery and visibility by using AI inference and normalization
Traditional discovery can struggle with the proprietary, legacy, and fragmented nature of CPS protocols. AI bridges this gap by inferring identity from partial data and by normalizing diverse inputs. Organizations can use AI and LLMs to enhance DPI parsing, allowing systems to extract asset attributes from proprietary protocols where standard parsers fail. When device data is incomplete, AI models use statistical inference to determine device type, vendor, and family.
CPS environments are often flooded with thousands of vulnerabilities that cannot all be patched. AI helps teams focus on the “true risk” by correlating technical severity with business impact and real-world exploitability. This strategy uses ML to analyze threat signals (e.g., dark web chatter, exploit code maturity) to predict the likelihood of a vulnerability being exploited. Likewise, organizations can deploy an AI-driven “early warning” system to predict which CVEs will be weaponized before public advisories are released.
Automating remediation and policy creation
Using natural language to ease operation and administration
To address the skills gap in CPS security, vendors are integrating LLMs to simplify complex queries and reporting. They deploy natural language querying where users can ask questions like “Show me all PLCs with critical vulnerabilities exposed to the internet” in plain English. Behind the scenes these requests are translated into complex database queries, allowing non-experts to access deep insights. At the same time Gen-AI automates the generation of executive-level risk reports and compliance documentation, translating technical data into business-relevant metrics
Innovations that do not rely on AI include Windows Server Update Services (WSUS) and lightweight agents that play distinct but complementary roles in CPS PPs. They address specific challenges related to visibility, remediation, and deployment in complex or constrained industrial environments. In CPS PPs, WSUS integrations are primarily used to streamline vulnerability management and remediation validation for Windows-based assets (such as HMIs and engineering workstations) without requiring direct, intrusive scanning.
Some vendors also deploy lightweight agents (also referred to as collectors or endpoint sensors) allowing CPS platforms to extend visibility and control into areas where traditional passive network monitoring is insufficient, such as air-gapped networks, remote sites, or deep within endpoints.
Critical Capabilities Definition
Asset Discovery
This capability includes passive port mirroring and deep packet inspection, active queries using native industrial protocols, and project file analysis from such assets as human-machine interfaces (HMIs) and programmable logic controllers (PLCs).
It also involves enrichment from other tools in the ecosystem (e.g., CMDBs, directories, backup and recovery systems) or other proprietary approaches that support more granular outputs than ever before.
Asset Pedigrees and Attributes
This can determine asset name, category, type, vendor, product family, model, serial number, and chassis/backplane identification, as well as and connection info (e.g., first seen, last seen, last modified and persistence).
It also determines IP and MAC addresses; wireless AP location; OS/software/firmware versions; network, subnet, virtual LAN (VLAN); patch level; and open ports with a high degree of accuracy and integrity. Advanced features include financial profile, device owner, latitude and longitude geographic info, USB devices and status, contextual physical-process-centric variables, and the ability to configure many custom attributes.
Ease and Speed of Deployment
This capability includes the time and expense to deploy sensors and/or consoles, validate findings, enable licensing, develop meaningful reporting, implement RBAC, and complete out-of-the-box integrations.
It also involves finalizing infrastructure health checks and system monitoring. It does all of this in heterogeneous operational environments and architectures.
Topology and Data-Flow Mapping
This includes visualizations of linkages and data flows between all assets and sites. Common formats include Purdue model maps, VLAN maps, zone clusters maps, external communications data-flow maps, or assets and groups maps. Most offer drill-down capabilities.
Security Monitoring
This capability involves monitoring or analyzing network traffic and alerts to known threats, suspicious activities, or policy violations. It may also detect unexpected configuration changes to assets.
Network Segmentation
This includes approaches to contain the attack surface and limit blast radius, including Layer 2 and Layer 3 functions.
It also involves grouping by attributes (e.g., VLAN, asset category or type, and security posture) or generating a segmentation approach, based on the function of the systems that can be used by all leading network access control (NAC) or firewall solutions.
Vulnerability Management
This includes the correlation of outputs from asset discovery with common vulnerability and exposures (CVE)/manufacturer recall databases and third-party vulnerability repositories.
It also involves prioritization for known exploited vulnerabilities; flagging of unsecure application use and default passwords; remediation guidance, including alternative compensating controls; and meaningful reporting, custom integrations, and provision of ticketing mechanisms to track actions.
Threat Management
This includes indicators of compromise (IoCs) and tactics, techniques and procedures (TTPs) from TI feeds and advisories, signature-based detections, reports aligned with the MITRE ATT&CK for ICS framework, and the flagging of anomalous behavior.
Security Frameworks
This includes dashboards and reports aligned with various frameworks.
These frameworks include the NIST Cybersecurity Framework (CSF), NIST SP 800-82 Rev 3, MITRE, IEC-62443, HIPAA, ISO 2700x family, NERC-CIP, TISAX, HITRUST, CIS 20, TSA SD 2021-02, Food and Drug Administration (FDA) 21 CFR, and NIS2.
Enterprise IT Tools Integration
Ease of Administration
This includes all core functionalities for platform operability, which can be accessed and managed from simple access user interfaces (UIs), ease of management, and administration.
In addition, it involves such day-to-day activities as account access; policy configuration troubleshooting; infrastructure replacement; and disposition of alerting, monitoring, and the overall digital experience.
Risk Scoring
This includes contextual scoring of risks based on vulnerability exploitability, architecture, connection patterns, attack paths, modeling of possible remediation actions, and business/mission impact.
It also involves recommended actions (including alternatives of compensating controls), playbooks, traceability of actions taken, and dashboards/reports to show risk-reduction progress over time.
Use Cases
Discover and Map CPS Assets
Organizations cannot start their CPS security journey or support audits unless, and until, they know the environment with which they are contending.
They need to understand as much as possible about the type, pedigree, communications patterns, and security status of CPS assets before deciding on any strategy to improve their risk posture.
Improve Threat and Vulnerability Management
Organizations must understand not only what vulnerabilities might exist, but whether they are exploitable.
In addition, because CPSs are connected digitally, but exist in the physical world, attack paths can be bidirectional along a cyber-physical continuum. Hence, understanding attack vectors and attack actors becomes critical.
Prioritize CPS Security Issues and Remediation
CPS environments are characterized by high heterogeneity of equipment types, purposes, life cycles, configurations, architectures, operators, and risk profiles.
In addition, security controls cannot be deployed at will, often mandating evaluation of alternatives and mitigation approaches, in conjunction with business units/production engineers. Organizations need capabilities to prioritize what actions will have the biggest effect on risk reduction, while minimizing production/operational impacts.
Monitor CPS Security; Align to Enterprise Efforts
This use case involves allowing organizations to monitor or analyze network traffic and alerts, as well as track their progress against security frameworks.
It also includes integration with enterprise IT security tools and sharing with the C-suite and other decision-makers situational awareness, dashboards, reports, compliance posture, and bright spots and concerns. In addition, it helps with overall management and continuous improvements to the CPS security program.