Back to Marketplace

Public Sector: Agent Smith™ for Splunk Intelligence

July 1, 2026
-
June 30, 2027

AI driven Cisco observability for public sector missions delivered in weeks.

Agent Smith™ is Data#3’s proprietary AI powered solution for rapidly building production ready Splunk environments for Cisco infrastructure.

Trained to develop Splunk solutions for Cisco networks, Agent Smith transforms natural language requirements into complete Splunk implementations, dramatically reducing complexity, delivery time and cost.

What often takes eight to 12 weeks can now be delivered in one to two weeks, without compromising quality or operational readiness.

For government agencies, that speed matters for a specific reason. Budget cycles close, ministerial commitments land mid-year, and audit findings arrive with dates attached. An observability program that takes a quarter to stand up often misses the window it was funded for.

Agent Smith is built to work inside those constraints and to produce the evidence agencies are asked to show: service level visibility, auditable configuration and a defensible record of how each detection and KPI was derived.

Enquire now to see Agent Smith™ in action.

 

What Agent Smith™ delivers

Agent Smith generates a full Splunk implementation tailored to Cisco environments, including:

  • Service definitions for WAN, LAN, wireless and security domains
  • Cisco optimised KPIs with validated SPL searches
  • Topology-aware glass tables for executive and NOC views
  • Correlation searches and notable event logic
  • Data ingestion and parsing configurations for Cisco telemetry
  • API clients, deployment scripts and Git-based configuration management
  • Compliance and audit reporting packs mapped to agency control frameworks.

All outputs are compatible with Splunk Cloud and Splunk Enterprise.

Why Agent Smith™

icon

Faster time to value

Production-ready Splunk intelligence in one to two weeks instead of months.

icon

Lower delivery cost

Shown to often deliver a 60 to 70 per cent reduction in implementation effort.

icon

Consistent, enterprise-grade quality

Repeatable best practices with automated validation and reduced configuration drift.

icon

Expertise embedded

Captures deep Splunk intelligence and Cisco knowledge without reliance on scarce specialists, a constraint that bites hardest in agencies competing for cleared Splunk and Cisco skills.

icon

Prototype to production

Ideal for rapid proof‑of‑value engagements that scale cleanly into full deployments.

icon

Fits the funding cycle

Delivery inside a single quarter means a program funded this financial year can show operational value in the same year ahead of budget review or audit response deadlines.

For agencies under pressure

This service is suited for:

  • Federal, state and local government agencies needing service-centric visibility across the Cisco infrastructure citizens depend on
  • CIOs, CISOs and network operations leaders accountable for the uptime of citizen-facing digital services
  • Agencies with Essential Eight, ISM or PSPF reporting obligations that need logging and monitoring evidence they can defend
  • Critical infrastructure operators in utilities, transport, health and education carrying SOCI Act visibility obligations
  • Public sector programs seeking demonstrable outcomes inside a funding period, without extended consulting timelines.

Built for public sector missions

Data#3 builds Agent Smith outputs around the outcomes agencies are measured on, so a deployment starts against mission priorities rather than a blank Splunk instance.

  • Operational resilience
    Service-centric views across Cisco WAN, LAN, wireless and security domains, so citizen-facing service and not just whether a device is up. Topology-aware glass tables give the NOC and the executive the same picture.
  • Fraud detection
    Correlation searches and notable event logic tuned to anomalous access, credential misuse and irregular transaction patterns across payments, licensing and entitlement systems.
  • Compliance
    Dashboards and reporting mapped to ISM controls, Essential Eight maturity levels and PSPF obligations, with logging coverage gaps surfaced rather than assumed. Every KPI ships with the SPL behind it, so an auditor can see how a number was derived.
  • Predictive data analytics
    Capacity, saturation and degradation forecasting on Cisco telemetry, so an agency acts before the outage reaches the service desk or the evening news.

 

Privacy, compliance and security by design

Public sector work carries obligations that commercial work doesn’t. Agent Smith is built so those obligations are satisfied by the way the solution is produced, not bolted on afterwards.

  • Sovereign platform foundations
    Splunk Cloud Platform is IRAP assessed at the PROTECTED level in the AWS Sydney region and is ISO/IEC 27001 certified. Where an agency needs data to stay inside its own environment, Agent Smith outputs deploy equally to Splunk Enterprise under agency control.
  • No production data required to build
    Agent Smith works from stated requirements, generating configuration, SPL and deployment artefacts. Agency telemetry stays where it is during the design phase.
  • Auditable by construction
    Every service definition, KPI, search and dashboard is version controlled in Git with its derivation visible. That gives agencies change history, peer review and rollback, and it answers the configuration management expectations in the ISM and the Essential Eight.
  • Zero trust aligned
    Outputs support the cross-cutting capabilities in zero trust maturity models, particularly visibility and analytics, automation and orchestration, and governance.
  • Human accountability retained
    Data#3 Splunk and Cisco specialists review and validate every output before it reaches production. The AI accelerates the build but doesn’t sign off on it.

 

Get started

Discover how Agent Smith™ can accelerate your Splunk deployment and deliver immediate operational value inside a single change window.

 

Information provided within this form will be handled in accordance with our privacy statement.