Governance, Risk & Compliance
CyberStrong
Continuous controls monitoring with cyber risk quantification, scored against NIST CSF and PCI DSS.
CyberStrong Overview
What it does
CyberStrong is a Continuous Controls Monitoring (CCM) and cyber risk management platform that replaces point-in-time, checklist-based assessments with real-time control scoring. Its distinguishing mechanism is a patented graph neural network engine, branded CyberSaint AI, that crosswalks controls across frameworks by intent rather than by keyword, so a single assessment maps to NIST CSF, CIS, ISO 27001, and PCI DSS at once and rescores as underlying data changes.
How it works
The platform ingests control evidence through agentic collection (computer vision and natural language processing) and through API connectors spanning endpoint detection, cloud security posture management, vulnerability management, and cloud configuration services. Control state is scored continuously as tool data shifts, and the Risk Hub translates gaps into financial exposure using the FAIR and NIST 800-30 models. An Executive Hub renders heat maps, board reporting, and return-on-security-investment analysis. Named customers include Allstate, Duke Energy, and TripAdvisor.
Credentials and traction
Featured in the 2025 Gartner Hype Cycle for Cyber-Risk Management, CyberStrong targets large enterprises and Fortune 500 security leaders that need audit-grade, continuous assurance of control effectiveness.
Key Capabilities
mapped to solution categoriesMonitors deployed controls in real time to confirm they are operating effectively, surfacing control failures and weaknesses promptly rather than at point-in-time audits.
Ingests data from diverse security, IT, and business tools through agentless connectors into a central platform, the foundation that feeds continuous control measurement.
Provides customizable dashboards and analytics that report control posture to auditors, the board, and regulators, supporting use cases such as SEC cyber disclosure and DORA readiness.
Maps measured controls to internal policies and external frameworks (NIST CSF, CIS, PCI DSS, DORA, ISO 27001) and crosswalks overlapping requirements to track compliance posture.
Applies AI and machine learning to assess control state, automate framework mapping, and surface insights from large volumes of control data.
Translates control posture into business-aligned cyber-risk reporting, enriching control gaps with business context and quantification so remediation is prioritized by impact.
Continuously and automatically collects control evidence from connected tools to demonstrate compliance to auditors and regulators, replacing manual, point-in-time evidence gathering.
Integrations
compatible toolsImplementation & support
Info last updated on June 30, 2026