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Prosimo Introduces AI Suite for Multi-Cloud Networking

Prosimo announced AI Suite for Multi-Cloud Networking, empowering teams to bring AI workloads to market faster.

AI Suite for Multi-Cloud Networking gives organizations everything they need for AI readiness in one vertically integrated platform.

"AI adoption has changed requirements for cloud networking dramatically - increasing cross-cloud interactions, bringing the need to secure AI workloads and data, as well as expecting high-quality rapid decisions," said Prosimo co-founder and CEO Ramesh Prabagaran. "We are solving both problems in one - multi-cloud networking for AI to help speed up adoption of AI, and AIOps for faster decision making."

Prosimo takes a full lifecycle approach, offering two key capabilities:

- Multi-Cloud Networking for AI: Provides the core connectivity, security, and infrastructure building blocks for AI workloads. This includes high bandwidth, ultra-low latency, multi-cloud connectivity, and built-in compliance and guardrails around Data sets for LLM.

- Nebula: AIOps for Multi-Cloud Networking: Enables fast observability, monitoring, troubleshooting, and cost optimization for cloud networking infrastructure. Prosimo's Nebula assistant uses natural language to provide predictive recommendations and accelerated root cause analysis for operational excellence.

Prosimo AI Suite for Multi-Cloud Networking is a full-stack, cloud-native platform that understands connectivity needs across L3 to L7 and enables enterprises to take advantage of cloud-native connectivity designed for AI. Prosimo's multi-cloud networking fabric is built from the ground up to support next-generation AI workloads in these key areas:

- End-to-End Private Connectivity: Seamless distributed data access without legacy IPsec tunnels and IP layer limits, rather use native constructs like PrivateLink & PSC

- Deep Observability: The ability to detect anomalous behavior across the stack, with application-level visibility for costs, traffic, and resource attribution.

- Enhanced Security: Companies can enforce enterprise-level policies for using approved AI services to ensure the organization isn't inadvertently exposing sensitive data.

- App-Driven Routing: Request-aware steering for app security and compliance.

Nebula Multi-Cloud Network Assistant is Prosimo's conversational AI assistant for cloud networking. Teams can query their network using natural language and get intelligent recommendations powered by Prosimo's large language model (LLM), the only LLM that incorporates data across multiple classes addressing the top three pain points for cloud ops teams:

- Network Policy and Traffic: A comprehensive view of overlapping IP networks across cloud providers, accounts, regions, and more makes identifying and resolving complex issues easy.

- Infrastructure and Cost: Natural-language queries ("Why are my expenses so high this month?" or "Which regions contributed the most to my higher costs?") let teams quickly drill down into cost drivers, trends, and inefficient resource utilization. Nebula reduces the time spent clicking through dashboards to uncover actionable cost insights.

- Security and Compliance: Teams can quickly identify unauthorized cross-region access that violates regulatory policies.

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Prosimo Introduces AI Suite for Multi-Cloud Networking

Prosimo announced AI Suite for Multi-Cloud Networking, empowering teams to bring AI workloads to market faster.

AI Suite for Multi-Cloud Networking gives organizations everything they need for AI readiness in one vertically integrated platform.

"AI adoption has changed requirements for cloud networking dramatically - increasing cross-cloud interactions, bringing the need to secure AI workloads and data, as well as expecting high-quality rapid decisions," said Prosimo co-founder and CEO Ramesh Prabagaran. "We are solving both problems in one - multi-cloud networking for AI to help speed up adoption of AI, and AIOps for faster decision making."

Prosimo takes a full lifecycle approach, offering two key capabilities:

- Multi-Cloud Networking for AI: Provides the core connectivity, security, and infrastructure building blocks for AI workloads. This includes high bandwidth, ultra-low latency, multi-cloud connectivity, and built-in compliance and guardrails around Data sets for LLM.

- Nebula: AIOps for Multi-Cloud Networking: Enables fast observability, monitoring, troubleshooting, and cost optimization for cloud networking infrastructure. Prosimo's Nebula assistant uses natural language to provide predictive recommendations and accelerated root cause analysis for operational excellence.

Prosimo AI Suite for Multi-Cloud Networking is a full-stack, cloud-native platform that understands connectivity needs across L3 to L7 and enables enterprises to take advantage of cloud-native connectivity designed for AI. Prosimo's multi-cloud networking fabric is built from the ground up to support next-generation AI workloads in these key areas:

- End-to-End Private Connectivity: Seamless distributed data access without legacy IPsec tunnels and IP layer limits, rather use native constructs like PrivateLink & PSC

- Deep Observability: The ability to detect anomalous behavior across the stack, with application-level visibility for costs, traffic, and resource attribution.

- Enhanced Security: Companies can enforce enterprise-level policies for using approved AI services to ensure the organization isn't inadvertently exposing sensitive data.

- App-Driven Routing: Request-aware steering for app security and compliance.

Nebula Multi-Cloud Network Assistant is Prosimo's conversational AI assistant for cloud networking. Teams can query their network using natural language and get intelligent recommendations powered by Prosimo's large language model (LLM), the only LLM that incorporates data across multiple classes addressing the top three pain points for cloud ops teams:

- Network Policy and Traffic: A comprehensive view of overlapping IP networks across cloud providers, accounts, regions, and more makes identifying and resolving complex issues easy.

- Infrastructure and Cost: Natural-language queries ("Why are my expenses so high this month?" or "Which regions contributed the most to my higher costs?") let teams quickly drill down into cost drivers, trends, and inefficient resource utilization. Nebula reduces the time spent clicking through dashboards to uncover actionable cost insights.

- Security and Compliance: Teams can quickly identify unauthorized cross-region access that violates regulatory policies.

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In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...

In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions.... 

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

Image
Guardsquare

IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

Image
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In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...

Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty ...

IT infrastructure (on-premises, cloud, or hybrid) is becoming larger and more complex. IT management tools need data to drive better decision making and more process automation to complement manual intervention by IT staff. That is why smart organizations invest in the systems and strategies needed to make their IT infrastructure more resilient in the event of disruption, and why many are turning to application performance monitoring (APM) in conjunction with high availability (HA) clusters ...

In today's data-driven world, the management of databases has become increasingly complex and critical. The following are findings from Redgate's 2025 The State of the Database Landscape report ...

With the 2027 deadline for SAP S/4HANA migrations fast approaching, organizations are accelerating their transition plans ... For organizations that intend to remain on SAP ECC in the near-term, the focus has shifted to improving operational efficiencies and meeting demands for faster cycle times ...