Overview

Product video
Upstream Runtime AI and API Security gives security and AppSec teams visibility into the intent and behavior behind every API transaction and AI agent action, including MCP traffic. Instead of treating each request as an isolated event, Upstream correlates sequences of activity across APIs, AI agents, endpoints, consumers, and operational data to identify patterns that would otherwise appear benign one transaction at a time.
APIs and AI agents have converged into a single execution layer for business logic. AI agents now use the same APIs as human users, but they operate through patterns most request-level tools were not built to analyze: hundreds of individually legitimate calls that can accumulate into reconnaissance, fraud, or abuse. Most security tools still treat API security and AI agent security as separate problems. WAFs, API gateways, and other stateless tools inspect requests in isolation. AI governance tools operate at the model input/output boundary, reasoning about prompts and completions but missing the authenticated, stateful API calls that agent intent turns into. This creates a visibility gap between what an agent intends to do and how that intent is executed across APIs, sessions, and systems.
Upstream closes that gap with a unique data foundation based on live digital twins. These continuously monitor and analyze behavior and intent across every endpoint, consumer, and agent in the ecosystem. By building a stateful representation of each agent, including what it is, what it has done, and how its actions accumulate over time, Upstream can detect distributed, low-and-slow, and multi-step attacks that look harmless when viewed one request at a time.
The platform spans discovery, detection, investigation, and response. Discovery includes automated API and MCP inventory, including shadow and zombie APIs. Detection applies stateful behavioral analysis across the OWASP Top 10 for API, MCP, and LLM risks. Investigation includes GenAI-powered classifications, forensic investigations, and threat hunting. Response is supported through agentic remediation, automated playbooks, and integrations with SIEM, SOAR, and WAF systems.
Upstream is built for enterprise scale, processing billions of monthly API transactions. It can be deployed as multi-tenant SaaS or directly within the customer cloud environment. Runtime AI and API Security sits at the intersection of API security and the emerging field of AI agent and MCP security, helping security and AppSec teams understand how these two layers are converging into a single runtime security challenge.
IMPORTANT: For any sales-related inquiries please contact sales-aws-MP@upstream.auto
Highlights
- Advanced API and AI Agent Discovery and Behavior Profiling Upstream offers comprehensive discovery tools for API endpoints, consumers and agents to ensure full coverage. The platform also profiles assets over time for deep contextual analysis.
- Stateful Threat Detection Across a Sequence of Actions Live digital twins build stateful models of endpoint, consumer, and agent behavior, powering ML-based threat detection that infers attack sequence and intent across the full execution flow.
- Threat Hunting, Investigations and Response Ocean AI, Upstream AI Suite, delivers LLM-powered security workflows for low-and-slow or unknown risks, enabling teams to query data, extract insights, triage, and build agentic workflows.
Details
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Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Basic | Access to Upstream Platform API Security; up to 10M API calls/month | $50,000.00 |
SMB | Upstream Platform for API Security; up to 100M API calls/month | $200,000.00 |
Enterprise | Upstream Platform for API Security; up to 500M API calls/month | $500,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Cost/unit |
|---|---|
Charge per additional 100K API calls/month | $100.00 |
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