AI-Powered, Product-Centric XDR Platform
Secure connected vehicles, APIs, cloud services, and Physical AI against cyber threats with a unified, agentless detection and response (XDR) platform built for distributed mobility ecosystems.
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Holistic Near Real-Time Detection of Known and Unknown Threats
Connected mobility spans vehicles, APIs, services, and cloud infrastructure, requiring fast visibility into changes and impacted assets.
Upstream’s XDR uses a live digital twin to correlate signals across environments, with Ocean AI applying ML to surface anomalies, GenAI to accelerate investigations, and agentic AI to automate response workflows.
Monitor & Detect
Apply ML-driven profiling and anomaly detection to continuously evaluate behavior across vehicles, Physical AI, APIs, services, and cloud systems. Using a live digital twin, the platform identifies anomalies, logic abuse, and behavioral drift at both asset and fleet levels.
Investigate
Analyze alerts using correlated telematics, API activity, and operational context. Ocean AI combines ML and GenAI to accelerate triage, reduce false positives, and summarize incidents. Analysts investigate threats using natural language queries and contextual insights across mobility data.
Respond
Orchestrate response through agentic AI-driven workflows and Product SOC processes. Execute consistent remediation with clear visibility into scope and impact across connected systems, with integrations enabling coordinated action across security and operational teams.
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Agentless and Cloud-Based
The Upstream XDR platform is agentless and requires no software or hardware installation in vehicles or Physical AI. Deployed within the customer’s cloud environment, it enables rapid onboarding and scalable monitoring without impacting vehicle performance or development workflows.
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ML-Based Detection Models
Detect subtle behavioral deviations using ML models trained on mobility data. Upstream correlates signals across vehicles, APIs, backend systems, and cloud infrastructure through the live digital twin to surface emerging risk patterns across fleets.
Fleet-level and historical analysis help security teams detect anomalies across individual assets and large mobility deployments. -
Gen AI-Powered Investigations
Accelerate investigations using Ocean AI, Upstream’s integrated intelligence layer combining ML, GenAI, and agentic AI.
By correlating and contextualizing mobility data across vehicles, APIs, and cloud services, Upstream enables analysts to identify patterns, understand root cause, reduce false positives, prioritize response and summarize incidents faster. -
No-Code Detector Builder and Customization
Extend detection coverage using a library of mobility-focused detectors and no-code customization tools.
Upstream enables security teams to create and customize detection logic without engineering effort, enabling rapid adaptation as architectures evolve and new threats emerge. -
Prompt Threat Mitigation
Coordinate response across connected mobility environments using automated workflows enriched with live digital twin context.
Upstream uses agentic AI to trigger predefined playbooks and remediation actions across SIEM, SOAR, and operational systems. -
Regulatory Compliance
Support automotive cybersecurity and data privacy compliance through continuous monitoring powered by mobility data and cross-domain correlation.
Upstream provides traceable evidence and audit-ready insights aligned with UNECE WP.29 R155, R156, ISO/SAE 21434, and GDPR-aligned deployments.
Upstream delivers a multi-layered cybersecurity detection and response platform , purpose-built for the mobility and transportation ecosystem. This comprehensive approach ensures proactive threat analysis, robust detection and response, coupled with effective monitoring and remediation.
Cyber Threat Intelligence
Leverage cyber threat intelligence to proactively expand your understanding of cyber threats and risks. Adopt an intelligence-led strategy with thorough monitoring of the deep and dark web for effective cyber threat mitigation. Access mobility-specific and component-based intelligence as well as detailed threat actor mapping.
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Frequently Asked Questions
Upstream is built on a live digital twin for every monitored asset, continuously modeling state, behavior, and operational logic across vehicles, APIs, services, and cloud systems. API activity is treated as a first-class control plane within this unified architecture. The Ocean AI suite integrates ML, GenAI, and Agentic AI to support consistent detection, investigation & response workflows. The platform aligns directly with Product SOC requirements in cross-domain environments.
A live digital twin is a continuously updated, stateful model of an asset’s behavior and operational context. It correlates signals across vehicles, APIs, backend services, and infrastructure. This unified model enables cross-domain detection and investigation. The digital twin serves as the architectural backbone of the XDR platform.
Upstream applies Ocean AI as its intelligence layer across detection, investigation, and response. ML profiles behavioral baselines and surfaces anomalies. GenAI accelerates triage and contextual analysis. Agentic AI automates workflow execution aligned with defined response processes.
API security functions as a first-class control plane within the platform. The system analyzes API behavior over time and in context. This stateful modeling identifies misuse, exploitation attempts, and logic abuse patterns. API activity is evaluated as part of the broader digital twin ecosystem.
No. The Upstream platform is agentless and deployed in the customer’s cloud environment. It requires no software or hardware footprint in vehicles or physical AIs and scales effectively across large fleets.
Upstream supports UNECE WP.29 R155, R156 ISO/SAE 21434, and data privacy requirements through continuous monitoring and audit-ready evidence. The platform includes options for data anonymization and encryption to support GDPR-aligned deployments.
