Traditional spreadsheet-based cybersecurity risk management is becoming obsolete as organizations face increasingly complex regulatory landscapes. The CyberStrong platform leverages artificial intelligence and natural language processing to automate framework crosswalking, delivering up to 80% time savings in compliance assessments while providing over 50% control automation across multiple cybersecurity frameworks, including The National Institute of Standards and Technology’s Cybersecurity Framework (NIST CSF), ISO 27001, CIS Controls, SOC 2, and CMMC.
Increasingly, CISOs and teams require an end-to-end cyber risk management platform that consolidates millions of data points into a cyber risk intelligence layer, providing a real-time view of their control posture. CISOs and risk teams require actionable insights, powered by automation, quantified risk assessments, real-time dashboards, and remediation projections.
Supporting cyber risk from risk identification to risk mitigation.
Framework crosswalking is the systematic process of mapping security controls between different cybersecurity standards and frameworks. Organizations typically must comply with multiple frameworks simultaneously due to:
Modern organizations face several critical challenges when managing multi-framework compliance:
Control Mapping Inconsistencies: Different frameworks use varying terminology for similar security concepts. For example, NIST CSF refers to "Asset Management," while ISO 27001 uses "Information Security in Supplier Relationships" for overlapping controls.
Get more information on mapping NIST CSF to ISO 27001.
Temporal Misalignment: Frameworks specify different implementation timelines. One standard might require monthly vulnerability scans while another mandates weekly assessments for the same security domain.
Scope and Technical Differentiation: Some standards are broad and governance-focused, like ISO 27001, while others are more technical, like the NIST SP 800-53 and the CIS Controls. Nevertheless, those standards do have intersections that must be mapped at a granular, control-action level. The industry to date only provides high-level mappings, which are not actionable nor automatable.
Inheritance Complexity: Cloud environments create shared responsibility models where control accountability is distributed between cloud service providers and customers, complicating direct framework mapping.
Scale and Maintenance: Manual crosswalking becomes exponentially complex as organizations add frameworks, with each new standard requiring mapping against all existing frameworks.
Organizations have historically attempted several approaches to address crosswalking challenges:
CyberStrong's automated crosswalking capability represents a fundamental advancement in compliance management technology. The platform utilizes several key technological components:
Natural Language Processing (NLP) Engine: The platform employs advanced NLP algorithms to analyze control descriptions, identifying semantic relationships between controls across different frameworks. Rather than relying on exact keyword matching, the system interprets the underlying intent and functional requirements of each control.
Semantic Similarity Analysis: Machine learning models trained on cybersecurity domain knowledge calculate similarity scores between controls, enabling accurate mapping even when terminology differs significantly between frameworks.
AI-Powered LLM Review: CyberStrong’s crosswalking approach is a multi-step process that leverages embeddings and semantic similarity, coupled with LLM expert review.
Dynamic Learning Capability: The AI model continuously learns from user validations and corrections, improving mapping accuracy over time and adapting to organization-specific interpretation patterns.
Beyond static crosswalking, CyberStrong's Continuous Control Automation capability provides real-time continuous compliance monitoring:
Security Tool Integration: The platform ingests telemetry from security tools, including Azure Security Center, Tenable vulnerability scanners, Qualys VMDR, and other enterprise security platforms.
Real-Time Control Status Updates: Security data is automatically mapped to relevant controls across all applicable frameworks, providing continuous monitoring status visibility.
Automated Evidence Collection: The system automatically collects and maintains evidence artifacts required for compliance audits, reducing manual documentation efforts.
Cross-Framework Harmonization: Changes in one framework automatically propagate to related controls in other frameworks, maintaining consistency across the entire compliance program.
Framework Coverage: CyberStrong supports comprehensive mapping across major cybersecurity frameworks, including:
Synchronization Capabilities: The platform supports parent-child assessment relationships where changes to a master framework automatically update derivative assessments while allowing for local customizations when necessary.
Audit Trail Management: All mapping decisions, confidence scores, and historical changes are maintained for audit purposes, providing complete traceability of compliance decisions.
Custom Template Creation: Organizations can create proprietary crosswalking templates using CyberStrong's patented NLP technology, enabling specialized mapping for industry-specific requirements.
Bulk Processing: The platform supports batch processing of multiple framework combinations, significantly reducing time-to-value for large-scale compliance programs.
Gap Analysis Automation: AI-powered analytics automatically identify compliance gaps across frameworks, prioritizing remediation efforts based on risk impact and regulatory requirements.
Organizations implementing CyberStrong report significant operational improvements:
Enhanced Risk Visibility: Real-time dashboards provide executives with a comprehensive risk posture across all applicable frameworks, enabling data-driven security investment decisions.
Regulatory Agility: Rapid adaptation to new regulatory requirements through automated mapping of emerging frameworks to existing control implementations.
Scalability: Seamless expansion to new business units, geographic regions, or cloud environments without proportional increases in compliance overhead.
Resource Optimization: GRC teams can focus on strategic risk management activities rather than manual administrative tasks.
A: CyberStrong's NLP-based crosswalking achieves over 90% accuracy for high-confidence mappings. The system's accuracy improves over time through machine learning and user validation feedback. Manual validation is still recommended for lower-confidence mappings, but these typically represent less than 20% of total control mappings.
A: Yes, the platform's NLP engine can analyze and map custom frameworks. Organizations can upload proprietary framework documentation, and the AI system will analyze control descriptions to generate crosswalks with existing supported frameworks. Custom template creation is supported through the platform's patented NLP technology.
A: The platform monitors official framework publications and automatically identifies updates to supported standards. When frameworks are revised, the AI system re-analyzes affected controls and updates mappings accordingly. Users receive notifications of significant changes requiring review and validation.
A: CyberStrong integrates with several security tools, including major platforms like Microsoft Azure Security Center, AWS Security Hub, Tenable.io, Qualys VMDR, Rapid7 InsightVM, Splunk Enterprise Security, and Snowflake. The platform provides APIs for custom integrations with proprietary security tools.
Framework Coverage Gaps: While CyberStrong supports major cybersecurity frameworks, some highly specialized or emerging frameworks may require manual mapping or custom development for full automation.
Language Limitations: The NLP engine is optimized for English-language frameworks. Non-English frameworks may require translation or custom language model training for optimal accuracy.
CyberSaint's CyberStrong platform represents a paradigm shift in cybersecurity framework compliance management. By leveraging artificial intelligence, natural language processing, and continuous automation, the platform transforms traditional manual processes into strategic business capabilities. Organizations implementing CyberStrong report dramatic improvements in efficiency, accuracy, and risk visibility while reducing compliance costs and audit preparation time.
The platform's AI-powered crosswalking engine, combined with compliance automation capabilities, positions CyberSaint as a leader in automated cybersecurity compliance management. As regulatory complexity continues to increase, organizations require sophisticated tools that can adapt to changing requirements while maintaining comprehensive risk visibility across multiple frameworks.
For organizations seeking to modernize their compliance programs and transform GRC from a reactive cost center into a proactive strategic capability, CyberStrong correlates millions of data points within its real-time cyber risk intelligence layer, enabling CISOs and teams to drive strategic decisions that spur action and enable business growth.
Explore the benefits of automated cybersecurity framework mappings with our product brief. Ready to see how you can streamline compliance? Meet with us to get a customized demo.