Upstream Joins Forces with Cisco Cloud Control to Power Physical AI Intelligence for Agentic Operations
As part of Cisco's marketplace expansion, the integration lets AI agents in Cisco Cloud Control query Upstream's Model Context Protocol (MCP) servers to access real-time quality, operational observability, and cybersecurity risk context inferred by Upstream's live digital twins across physical AI assets. Upstream today announced its onboarding into the Cisco Cloud Control Marketplace as part of Cisco’s ecosystem expansion. By…
Read MoreThe Upstream Blog
- Cybersecurity
- Runtime AI and API Security
Intent Over Identity: Deconstructing the OpenAI Escape
In our recent Rethinking the Perimeter series, we explored how static network boundaries fail when facing modern AI and API ecosystems, as well as the…
- AI in Mobilty
- Cybersecurity
- Runtime AI and API Security
Rethinking the Perimeter: Excessive Data Exposure and the Outbound Blind Spot
As SOC executives transition to managing autonomous MCP servers on top of the existing complex cloud topologies and distributed microservices, we must acknowledge a critical…
- AI in Mobilty
- Cybersecurity
- Runtime AI and API Security
Rethinking the Perimeter: The Hidden Blast Radius of “Harmless” Endpoints
As SOC executives navigate an era of autonomous AI agents, complex machine-to-machine integrations, and Model Context Protocol (MCP) servers, we must accept a harsh architectural…
- Runtime AI and API Security
Behavior and Kinetic Impact Define the New AI Security Paradigm
For decades, enterprise cybersecurity has been obsessed with lines in the sand. We built walls around networks, drew perimeters around systems, and gated access to…
- Cybersecurity
- Mobility API Security
- Runtime AI and API Security
Rethinking the Perimeter: BOLA and the Illusion of the Legitimate Request
As SOC executives navigating an era of autonomous AI agents, complex machine-to-machine integrations, and Model Context Protocol (MCP) servers, we must accept a harsh architectural…