Splunk Managed Services: Enterprise Security, Cloud & Beyond
Apto fills the Operator gap — keeping your Splunk platform healthy, optimised and continuously improving so your team can focus on what matters.
Splunk Platform Expertise
From detection engineering to cost optimisation, Apto delivers the full spectrum of Splunk managed services.
🛡
Splunk Enterprise Security (ES)
Detection engineering, risk-based alerting, correlation rule development and SOAR integration. We build and maintain detection content that keeps pace with your threat landscape.
☁️
Splunk Cloud & On-Prem Management
Deployment architecture design, performance tuning, upgrade planning and day-to-day administration. Whether you run Splunk Cloud or on-premises, we keep it running at peak.
📈
Splunk Observability
Application Performance Monitoring (APM), infrastructure monitoring and real-user monitoring. Extend Splunk visibility beyond security into full-stack observability.
Licence management, data volume control and pipeline engineering with Cribl. We identify waste, right-size ingestion and deliver measurable SVC reductions — typically 20–30%.
Filling the Operator Gap for Splunk
24/7 platform monitoring, proactive management and continuous improvement — without the overhead of building an in-house platform team.
Operate Core
Continuous, independent platform monitoring with daily analyst-reviewed reporting. We watch your Splunk health so nothing falls through the cracks — indexer queues, licence usage, search performance and forwarder connectivity.
Operate Attach
Targeted engineering support for your backlog. CIM mapping, search performance optimisation, SSL certificate remediation, infrastructure upgrades and more — delivered in prioritised sprints.
The Operate + Build Virtuous Cycle
Operations insight drives continuous platform improvement. What we observe in Operate Core feeds directly into engineering priorities — creating a cycle where your platform gets better every month, not just maintained.
Apto’s Splunk Credentials
Proven expertise backed by partnerships, certifications and real-world delivery.
Splunk Partnerverse Member
Official Splunk partner programme
Risk-Based Alerting
RBA implementation & tuning
Splunk Cloud Expertise
Migration, deployment and management
SOAR Integration
Playbook design & automation
ES Specialists
Enterprise Security detection & response
ISO 27001 Certified
Information security management
Splunk MCP Server Enablement
An Apto Operate bolt-on service · Discover, Design, Implement, Monitor
Splunk now ships an official, supported MCP Server that lets AI assistants such as Claude, Copilot, Cursor and any streamable-HTTP MCP client query Splunk in natural language. It installs as an app on your search head, initialises a new web service, needs no outbound connectivity of its own, and is close to plug-and-play. The work is in the decisions around it: who can ask what, of which data, through which model, at what cost to the platform and to your licence, and with how much understanding of your data.
Why this service, and why context
MCP is easy to switch on and hard to switch on well. The value is real: incident diagnosis and post-deployment checks in minutes, and Splunk opened to people who will never learn SPL. But switched on bottom-up it has already given an LLM shared-account access to Splunk without users being individually authenticated, on a constrained platform, with unsanitised log data leaving the security boundary. The answer is not to ban it but to enable it deliberately: an agreed objective, a scoped role, native guardrails, monitoring that ties usage back to your licence, and an owner for all of it afterwards. That is this service: three stages to a governed pilot, then run as part of Apto Operate, with the design signed off by Apto’s architecture practice and your Security lead before anything is enabled.
Figure 1 – Stages 1–3 are a fixed-scope engagement with decision gates; stage 4 runs inside your Operate service. Seven threads are considered at every stage.
Context cuts both token spend and search load. Without context, the model rediscovers your indexes, sourcetypes and fields in every conversation; each discovery result is re-read on every turn, and each wrong guess is another search job. Where it falls over in practice is not query efficiency but hallucinated fields and data, because Splunk may change the format of its internal event logs between releases and between on-prem and Cloud, and a general-purpose model has no way to know which version it is talking to. A context pack, delivered as a skill or a project file and mirrored on the MCP Server, maps your business terms to indexes, sourcetypes, fields and your internal data model, so the model goes straight to the right search and every client behaves the same. Published research on natural-language querying of databases reports accuracy gains of 13 to 38 percentage points when the model has even basic hints about the data, and a full context pack has been shown to cut model tokens by 75 to 80 per cent with far fewer discovery searches. We measure the real gain in your pilot with a fixed question set run with and without the pack, and we keep the pack current under Operate.
The Four Stages
Engagement Shape
Discover and Design are a fixed-price package that ends with a design your IT and Security leads can sign off, whether or not you proceed. Implement is scoped from that design. Monitor is an Operate bolt-on priced with your existing service. Every Apto MCP customer runs on the Operate MCP extension, so the guardrails, the context pack and the monitoring have an owner from day one.
What we consider at every stage
What you need in place, and what you decide
- Splunk Enterprise 9.3+ (Splunk 10 for user-scoped OAuth) or Splunk Cloud, with token authentication enabled on the search head; checked in Discover.
- One or two named objectives, an executive sponsor, and Security engaged from the design gate rather than after go-live.
- A model choice and subscription (hosted, local or Splunk AI Assistant) and the data-handling position that follows from it.
- An Apto Operate agreement with the MCP extension, existing or taken up alongside this service, for the Monitor stage.
ONGOING: MCP Usage, Licence and Context under Operate
Once the pilot is accepted, the MCP Server becomes part of the estate Apto already runs for you. Each month your Operate service review includes an MCP service report: calls by user and tool; search compute consumed and its share of licence or SVC; guardrail hits (rate limits, timeouts, row limits) and the tuning we recommend; token inventory with unused and expiring tokens removed; capability changes; the top queries, the questions the context pack answered first time and the ones it did not, and the custom-tool candidates they reveal; and any effect on platform performance for other users. Minor tuning and context updates are done under Operate fair-use time; new tools, roles or wider rollout go through change control with Security in the loop.
WORKED EXAMPLE: One Question, Five Searches
A Copilot user asks: “Give me all the data for x y z for the last 2 days that has multiple failed logins.” The Splunk MCP Server does not translate that sentence. On connect it hands Copilot a catalogue of tools with descriptions and input schemas; Copilot’s model (in Microsoft’s cloud) reads the question, picks tools and writes the SPL itself, and the server validates and executes it as the token’s Splunk account. By default the model knows nothing about your indexes, sourcetypes or field names, so it discovers them with small, time-bound searches (the server’s own behaviour steers it away from wildcard indexes and all-time ranges) and only runs the full range once it believes the scope is right. The costly part is not a dirty search but wrong guesses: field names carried over from another sourcetype or another Splunk version, which is common because Splunk’s internal event formats change between releases and between on-prem and Cloud. Each wrong guess is another full-range search, each turn re-reads the discovery output into the model, and the discovery phase repeats for every user and every new conversation. Figure 2 shows the same question without and with a context pack.
Where the brakes and the accelerator go, all inside Splunk
Operate Engagement: Recovery & Continuous Management
FINANCIAL SERVICES
A Splunk Enterprise + SOAR platform had suffered cascading indexer failure. Apto deployed Operate Core + Attach to stabilise the environment and establish ongoing management. Detection coverage is now continuously validated, the engineering team has been freed to focus on cloud migration, and the organisation has first-ever index-level licence visibility.
Value Assessment: UK’s Largest Mutual
INSURANCE / FINANCIAL SERVICES
Comprehensive assessment of a large-scale Splunk deployment — 97 indexes, 1.6TB daily ingest, 400TB storage and 6,400+ saved searches. Apto identified significant inefficiencies and delivered a roadmap for a 20–30% SVC reduction while maintaining full operational coverage.
Explore Further
See how we can build your digital capability,
call us on +44(0)845 226 3351 or send us an email…