Upstream’s Stateful
API Security
AI-powered and contextual approach to detection, investigations, and response of a wide range of cyber and operational API threats.
Using the power of the proprietary live digital twin
to deliver the most extensive API Security coverage
Expand coverage well beyond OWASP API Security Top 10
with purpose-built deep contextual and operational analysis of API traffic
Built for Massive Scale and Complex Enterprise Environments
Process billions of monthly API transactions. Flexible SaaS or customer cloud deployments to meet PII and regulatory requirements. The platform offers deep integrations with cloud infrastructure and data lakes to ensure smooth data ingestion and offer cross-organizational visibility into operational and cyber threats.
Customized Cyber, Business Logic, and Operational Risk Detection
The live digital twin extracts contextual information from API traffic to build a stateful analysis of endpoint and consumer behavior. The result is extended threat detection coverage, including cyber risks, data exposures, operational risks and API misuse.
Robust AI Capabilities for Effective Threat Detection and Large-Scale Investigations
Upstream’s Ocean AI offers purpose-built ML, GenAI and Agentic AI capabilities including ML-powered detection to cover low-and-slow and complex attacks, as well as unknown risks. GenAI tools offer cyber teams the ability to easily query data for investigations and threat hunting. Agentic AI tools offer effective response across large-scale threats.
Automated discovery and catalog
Identify, classify, and understand all API endpoints and consumers.
Upstream constructs a comprehensive API inventory by ingesting API traffic, API documentation (if available), and operational logs to uncover all active endpoints, including undocumented, shadow, and zombie APIs. Through automated endpoint and parameter learning, data classification, and structural analysis, the platform builds a continuously updated catalog that describes each API’s purpose, data exposure, and functional relationships. This foundational visibility defines what exists, how it is used, and where sensitive or high-risk surfaces reside.
ML-based detection
Apply stateful, ML-driven behavioral context to surface known and unknown threats.
Using the live digital twin and Ocean AI, Upstream applies stateful, ML-driven behavioral analysis to detect anomalies and attack patterns. By correlating API transactions with inferred behavioral baselines for endpoints, parameters, and consumers, the platform evaluates request, response, and authentication behavior over time and identifies deviations, misuse, or sequential activity indicative of distributed or low-and-slow attack chains. Coverage includes OWASP Top 10, misconfigurations, business-logic abuse, enumeration, and fraud attempts, with additional flexibility provided through a no-code detection builder for customer-specific logic.
GenAI-powered investigations and threat hunting
Reconstruct events and understand impact with contextual correlation with natural language querying.
Upstream provides full transaction history and cross-entity correlation, allowing analysts to trace how events unfolded across APIs, sessions, and consumers. Behavioral baselines, endpoint profiles, historical deviations, and related operational signals are used to reconstruct event chains, validate anomalies and proactively executive threat hunting. Ocean AI supports investigations with GenAI-driven summaries, data classification, alert interpretation, and querying, helping teams determine scope, impact and root cause quickly.
Effective response and Agentic AI tools
Coordinate remediation through integrated workflows and automated actions.
Upstream connects with SIEM, SOAR, WAFs, API gateways, and other enterprise systems to support automated, agentic or analyst-driven remediation. Actions can include blocking or isolating API consumers, revoking tokens, adjusting rate limits or policies, and sending enriched alerts to external systems.
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