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C2A Security is an OT and product security company focused on managing cyber risk in complex, regulated, and AI-heavy environments. We help organizations that develop and operate products understand which vulnerabilities and software supply chain risks actually matter by applying context and AI-driven risk reasoning across real product architectures and lifecycles.
C2A Security focuses on OT and product security for cyber-physical systems operating under regulatory, safety, and operational constraints, increasingly shaped by software complexity and AI. We work with organizations developing, operating, and maintaining products where cybersecurity decisions must be defensible, traceable, and balanced against real-world business and safety impact.
Modern products are built from layered software, open source components, AI-written code, and third-party dependencies. They operate across connected environments and long lifecycles. In these conditions, vulnerability-centric approaches fail to reflect actual risk. We bring context across the product lifecycle so teams can focus on what truly matters and remediate at the pace the business demands.
In regulated environments, vulnerability severity alone does not determine risk. The impact of a vulnerability depends on how a component is used, where it sits within a system, how it connects to other systems, and what safety or regulatory obligations are affected.
Regulated industries increasingly require organizations to demonstrate that cybersecurity decisions are risk-based, traceable, and defensible. This requires moving beyond vulnerability enumeration toward understanding real system behavior and downstream impact.
C2A Security models real products including system architecture, software dependencies, connectivity, and operational use. Vulnerability and SBOM data are correlated with this context to determine which issues actually matter in practice.
Coordinated AI agents support continuous risk analysis across development and postmarket phases, enabling consistent prioritization and defensible decision-making aligned with engineering and regulatory realities.
AI-driven automotive cybersecurity aligned with ISO/SAE 21434, UN R155, OTA operations, and complex global supplier ecosystems
Context-based cybersecurity supporting FDA premarket and postmarket requirements, patient safety, SBOM mandates, and quality system regulations
Dynamic risk management for industrial and robotic systems operating across OT and IT environments with deep supply chain dependencies
Security for next-generation connected infrastructure, energy systems, and autonomous technologies
C2A Security delivers SBOM intelligence by transforming first-party and third-party SBOM data into continuous, context-aware risk insight. SBOM findings are correlated with vulnerabilities, system architecture, and operational context to determine real-world impact across the product lifecycle.
Founded to address product security challenges in regulated systems.
Expansion across automotive, medical, industrial, IoT, and adjacent product markets.
Introduction of context-based system risk modeling.
Deployment of AI-driven risk reasoning at scale.
Extending product context intelligence into OT environments and deployed products.
Dynamic threat modeling and risk assessment aligned with global regulations
LLM-agnostic generative AI layer powering automation across every module
Aggregated threat feed contextualized against your actual products
Generate, manage, and triage all BOMs and vulnerabilities across the lifecycle
Quantitative optimization of mitigation strategy and security control allocation
Configurable dashboards and reports across every EVSec data layer
Extract software composition and risk from firmware and binaries without source code
Optimized anomaly detection for Ethernet and CAN, plus ECU runtime protection
Quantify and manage cybersecurity risk for products operating in the field
Enrich SOC events with deep product and architecture context
Context-driven test and validation with intelligent fuzzing, integrated into CI/CD
AI-powered static analysis integrated into CI/CD with reduced false positives
Foundational layer: cyber model, workspaces, and integration backbone to DevOps toolchain
Out-of-the-box and customizable workflows for regulatory and security processes
Centralized compliance management with evidence generated from live data