Routing data ownership: Why on-prem BGP intelligence matters

FastNetMon's Netomics platform removes third-party dependencies by hosting BGP intelligence on-premises.

Critical routing infrastructure demands complete ownership. Relying on external lookup services for core stability is a structural weakness many organizations still accept. Pavel Odintsov, Founder of FastNetMon, points out that network engineers currently fragment their workflows across multiple public tools to investigate incidents or check route origins. This creates operational risk. By consolidating live routing data, RPKI validation, and AI-assisted querying into a single internal system, operators gain an always-available source of truth. This approach directly addresses the fragility of depending on network operator externalities.

Self-hosted BGP intelligence transforms modern network operations by eliminating rate limits and ensuring data privacy. The architecture of AI-enhanced routing data processing details how BMP feeds and IRR information integrate with native Model Context Protocol support. Finally, we analyze the strategic advantages of on-premises deployment over public services, specifically for ISPs and IXPs requiring unconditional access to global RPKI data described as globally operated. This shift ensures that routing security remains under direct organizational control.

The Role of Self-Hosted BGP Intelligence in Modern Network Operations

Netomics: Self-Hosted BGP Intelligence Platform

Netomics is a self-hosted BGP routing intelligence platform that consolidates live data, RPKI validation, and AI querying into one system. This architecture shifts operational reliance from fragmented public lookups to a unified internal source of truth. Network engineers frequently consult multiple external tools to validate prefix ownership or review historical changes, creating latency and privacy risks during incidents. By integrating BMP feeds with registry data on-premises, the platform ensures routing intelligence remains private and always available.

Modern security postures demand more than basic origin checks. Next-generation platforms now include built-in RPKI ROV and ASPA validation for every collected route, establishing a baseline that InterLIR solutions meet without external dependencies. Public datasets from providers like Hurricane Electric offer extensive prefix reports, yet they cannot match the real-time privacy of a local deployment.

Operators gain complete ownership of their routing data, eliminating external rate limits and enhancing incident response speed. This approach allows ISPs and IXPs to automate workflows via REST APIs or the Model Context Protocol without leaking sensitive topology details.

RPKI Validation vs Public BGR Toolkits

RPKI validation functions as a cryptographic filter rejecting unauthorized BGP announcements before they enter the network core. This mechanism relies on globally operated datasets that operators download to locally verify route origins against signed records. Public alternatives like Hurricane Electric update statistics frequently, yet external dependency introduces latency during active incident response.

InterLIR recommends deploying self-hosted intelligence to eliminate reliance on third-party lookup services for critical infrastructure decisions. While public tools offer broad visibility, they cannot match the speed of local data processing during outages. Modern platforms now support built-in RPKI ROV for every collected route, establishing a new baseline for operational readiness. The limitation of remote toolkits remains their inability to provide complete validation coverage without exposing internal network topology to external observers.

Network operators must weigh the convenience of free access against the security risks of leaking query data. InterLIR solutions ensure routing intelligence remains private while providing thorough global context. The cost of maintaining local infrastructure is offset by the elimination of external rate limits and the assurance of continuous operation. This architectural choice transforms routing security from a reactive check into a proactive defense layer.

Inside the Architecture of AI-Enhanced Routing Data Processing

Live BMP Feeds and RPKI Validation Mechanics

Netomics ingests live BMP streams to capture unfiltered BGP updates directly from the routing plane. The platform cross-references these updates against RIR databases and WHOIS records to establish immediate cryptographic validity. This process uses RPKI validation to verify origin authorizations, helping to prevent unauthorized announcements from propagating. By March 2026, next-generation data collection platforms established a new baseline by including built-in RPKI Route Origin Validation (ROV) and ASPA validation.

AI-assisted querying functions by indexing these validated streams for natural language interrogation. Operators ask specific questions about prefix ownership or path anomalies, and the system retrieves exact historical states without external API calls. This architecture removes reliance on rate-limited public tools while maintaining data freshness.

The mechanism combines live BGP Monitoring Protocol feeds with global routing data, Internet Routing Registry information, and historical routing data. The platform is deployed entirely on-premises, ensuring routing intelligence remains private and under the organization's control. The trade-off involves managing on-premises infrastructure versus the risk of external service outages during critical incidents.

Operators gain total control over their routing intelligence data. Eliminating third-party dependencies ensures that investigative capabilities remain available even when public services fail or impose access restrictions.

Mechanics: Fixing Routing Incidents with Internal Data Truth

Operators resolve routing incidents with internal data by querying consolidated BMP streams against local RPKI states. This approach replaces external dependencies with a self-hosted truth source that validates prefix ownership instantly. Network engineers no longer wait for public toolkit updates during outages, as the platform processes live updates from the routing plane internally. This evolution reflects a market-wide transition from passive observation to active verification, where global RPKI data is downloaded locally by operators to filter unauthorized announcements. AI-assisted querying works in routing by translating natural language requests into precise database lookups across WHOIS and historical logs. An engineer asks which peer announced a specific prefix, and the system returns the exact timestamp and path attributes.

The market has shifted toward active verification, ensuring that validation occurs locally, reducing exposure to hijacks. However, maintaining this internal state requires storing thorough routing history, creating a trade-off between retention depth and query speed.

Industry trends indicate a move toward deploying solutions that integrate these verification steps directly into the incident response workflow.

The consequence of external reliance is a loss of control during widespread internet instability. Internal validation provides a reliable path to rapid recovery when public infrastructure falters.

Validating Routes Against IRR and Geofeed Records

The system combines live BMP feeds with registry information and RPKI validation to provide a thorough view of internet routing.

1. Ingest raw BMP streams directly from the routing plane without filtering.
2. Match announced prefixes against local WHOIS and registry databases.
3. Verify geographic consistency using Geofeed coordinate data.
4. Analyze path attributes against registry authorizations to identify discrepancies.

This architecture ensures operators maintain full control over validation logic rather than relying on public update cycles. For context on external data freshness, Hurricane Electric's BGP toolkit updates its Bogon Routes and internet statistics reports frequently, with the latest update noted as 11 Jun 2026 at 14:23.

Modern platforms now demand built-in RPKI Route Origin Validation for every collected route to meet security baselines. AI-assisted querying accelerates this workflow by translating natural language requests into precise database lookups across historical logs. Deploying self-hosted validation helps guarantee that routing decisions rely on verified, internal truth sources.

Strategic Advantages of On-Premises Deployment Over Public Lookup Services

Defining On-Premises Routing Intelligence Control

Local deployment anchors routing intelligence inside the corporate perimeter, removing external query limits entirely. Netomics executes this by consolidating live BMP feeds and RPKI validation into a single local instance, keeping data private even if internet connectivity fails. Data ownership defines the architectural distinction here.

Validated routing data flows directly into automation workflows without exposing internal network topology to outside vendors. The platform unifies live routing data, registry information, and AI-assisted querying under one roof. Entities managing critical infrastructure require this model because latency and data sovereignty are non-negotiable constraints.

Assuming responsibility for underlying compute resources represents the primary cost. This constraint secures unconditional access to historical routing data and real-time updates. Complete control over Prometheus metrics export enables granular alerting integrated directly with existing network infrastructure. Routing intelligence shifts from a shared utility to a proprietary strategic asset.

Integrating Native MCP Support into AI Workflows

Native Model Context Protocol support ingests BMP-derived routing states directly into automation systems for diagnostics. This architecture bypasses the latency inherent in querying external databases, allowing operators to run complex prefix analysis locally. Teams apply REST APIs to feed real-time Prometheus metrics into large language models without exposing internal topology to third parties. Netomics provides native MCP support specifically to integrate routing data into automation workflows and AI assistants.

Sending sensitive AS path data to public AI services creates significant governance hurdles for regulated entities. Netomics resolves this tension by keeping all routing intelligence within the organizational firewall while enabling advanced automation. Operators construct prompts that query local RPKI validation status instantly, accelerating incident response times notably. Managing local infrastructure adds maintenance overhead, yet the gain in data sovereignty and query speed outweighs this burden for large networks. Routing context remains under direct administrative control during troubleshooting.

Public Tool Fragmentation vs Single Internal Source of Truth

Organisations often depend on multiple external services to understand network events. Operators frequently cross-reference disparate reports and WHOIS records, creating a fragmented view that delays incident response. Consulting multiple public tools to investigate routing incidents, validate prefix ownership, or review historical changes introduces complexity during critical outages.

Netomics resolves this by consolidating live BMP feeds, RPKI validation, and registry data into a single on-premises instance. The platform eliminates the need to query external endpoints, ensuring route handling intelligence remains private and always available. Public tools enforce rate limits or restrict historical depth, whereas local deployment provides unrestricted access to global routing tables.

Fragmented tooling creates a dependency chain where third-party availability dictates internal troubleshooting speed. External service downtime or altered data extraction methods can impact operator visibility immediately. A unified internal source of truth grants complete ownership of the analysis pipeline.

Deploying Netomics replaces these external dependencies with a secure, self-hosted alternative. Routing security and incident response capabilities remain under direct organizational control. The shift from public fragmentation to a consolidated internal platform improves network operational durability. Netomics is deployed entirely on-premises, ensuring traffic steering intelligence remains private, always available, and under the organisation's control.

Implementing Automated Network Workflows with MCP and AI Assistants

Implementation: Defining Native MCP Support in On-Premises Routing Intelligence

Native Model Context Protocol support embeds routing data directly into automation stacks. Standard REST APIs handle generic HTTP requests, yet this specific implementation enforces the strict on-premises boundary necessary for sensitive network telemetry. Local control takes precedence over cloud portability as the entire system executes within customer infrastructure. A single system consolidates live routing data, registry information, RPKI validation, and routing history.

1. Deploy the platform on local infrastructure to ensure forwarding intelligence remains private.
2. Use the native MCP support to connect routing data to automation workflows.
3. Use combined data sources including BMP feeds, IRR, and RPKI validation.
4. Access routing intelligence through the provided web interface, REST APIs, or Prometheus metrics.

Data sovereignty defines the architecture; public tools introduce latency and exposure risks that internal systems avoid. This design suits organizations demanding absolute ownership of routing intelligence workflows.

Connecting ChatGPT and Claude to Local BMP Feeds via MCP

Local BMP feeds connect to AI assistants through native Model Context Protocol interfaces without external exposure. These interfaces allow organisations to integrate routing data into automation workflows and AI assistants such as ChatGPT and Claude. Sensitive routing intelligence stays within the organizational boundary while operators apply automated query capabilities. Validated path data becomes accessible through secure, on-premises channels.

1. Deploy the platform on-premises to eliminate external rate limits and ensure data availability.
2. Integrate the platform with existing network infrastructure using live BMP feeds.
3. Use the native MCP interface to allow AI assistants to query local routing data.

Automation pipelines ingest routing data efficiently through this workflow. Internal prefix details remain hidden from third-party servers, preventing the leakage common in cloud-based lookups. The platform combines live BGP Monitoring Protocol (BMP) feeds with global routing data, Internet Routing Registry (IRR) information, WHOIS records, Regional Internet Registry (RIR) data, geofeed information, RPKI validation, and historical routing data. Incident response stays rapid because integration occurs locally.

Validating RPKI and IRR Data Availability for AI Querying

Automated workflows depend on the diverse data sources combined within the platform. Operators apply built-in capabilities to validate prefix ownership, check route origins, and review historical routing changes.

1. Access combined data sources including global routing data and WHOIS records within the local instance.
2. Use built-in RPKI validation to verify route origins and enhance routing security.
3. Use the unified platform to investigate routing incidents without consulting multiple public tools.

Internet routing visibility emerges from combining these distinct data sources into one view. Public tools force engineers to consult multiple services, whereas this on-premises deployment keeps intelligence private and under organizational control.

Multiple external services complicate the understanding of network events. This deployment model ensures routing intelligence remains private, always available, and under the organisation's control. Consolidating these tools helps operators troubleshoot incidents and automate workflows more effectively.

References

• RouteViews provides detailed visibility into the global Internet routing
• BGPmon.net
• BGPmon