Comparison
ManySignal vs Splunk SOAR: agentic SOC vs playbook-driven SOAR
Splunk SOAR (formerly Phantom) is a mature playbook engine tightly coupled with the Splunk platform. ManySignal is an agentic SOC. The comparison turns on whether you need Splunk-native orchestration or autonomous investigation across a mixed stack.
Splunk SOAR
Playbook SOAR in the Splunk ecosystem
Splunk SOAR (Phantom heritage, now Cisco-owned) is a proven playbook automation engine that works best in organisations already running Splunk ES. Bought by large enterprise SOC teams with SOAR engineering resources and significant Splunk platform investment.
ManySignal
Agentic SOC + MDR platform
AI agents handle detection, investigation, and governed response autonomously across mixed-vendor environments. No playbook engineering required for triage coverage. Available as self-operated or fully managed MDR.
Who buys each
Splunk ecosystem vs stack-agnostic
Splunk SOAR resonates in organisations that are deeply committed to the Splunk platform and can leverage native integration. ManySignal is a better fit for teams evaluating their SIEM independently or operating multi-vendor environments.
Feature comparison
| Capability | ManySignal | Splunk SOAR |
|---|---|---|
| Product category | Agentic SOC + MDR platform | Playbook-driven SOAR (Cisco / Splunk) |
| Detection surface | Shipped detections across endpoint, cloud, identity, network, and email | No native detection engine; depends on Splunk ES or third-party SIEM for alert generation |
| Entity graph | Persistent cross-source entity graph: users, devices, IPs, applications, linked over time | Asset and identity data from Splunk ES; entity relationships require custom lookup configuration |
| Behavioural baselines | Per-entity ML baselines used in every alert's confidence scoring | Baselines come from Splunk ES or UBA, not Splunk SOAR itself |
| Triage agent | Autonomous agent investigates every alert, enriches context, and produces a confidence-weighted verdict | Playbook automation handles enrichment; no AI investigation agent — analyst-driven triage for uncovered alert types |
| Verdict on every alert | Structured true/false-positive verdict on 100% of alerts with full evidence chain | Outcome depends on playbook coverage; uncovered alert types require manual analyst triage |
| Response autonomy ladder | Configurable autonomy tiers: notify → contain → remediate, per alert class with blast-radius limits | Playbooks support automated response actions; autonomy governance must be hand-built per playbook |
| Blast-radius limits | Built-in guardrails cap automated actions by scope and impact class | Guardrails are conditions within playbooks; no platform-wide blast-radius concept |
| Per-tenant kill switch | One-click pause of all automated response per tenant, logged and auditable | Playbooks and automation can be paused individually; no unified kill switch |
| Evidence trail | Immutable per-alert evidence log with reasoning steps, timestamps, and operator attestation | Event journal tracks playbook execution; analyst-curated notes supplement automated logging |
| Connector count | 300+ managed integrations | 350+ apps in Splunkbase; strong integration with Splunk platform components |
| Splunk ecosystem tie-in | Integrates with Splunk as a data source; no native Splunk bundling | Native integration with Splunk ES, Splunk UBA, and Mission Control; strongest in Splunk shops |
| Ingestion pricing model | Per-endpoint/user; no per-GB or per-alert charges | Priced within Splunk platform licensing; workload-based pricing applies |
| Deployment model | Cloud-native SaaS, multi-tenant with strong tenant isolation | Cloud (Splunk Cloud) and on-premises; tied to Splunk deployment model |
| Best-fit team size | Mid-market to enterprise; MSPs and MSSPs | Large enterprise SOC teams running the Splunk ecosystem; Phantom heritage means strong in mature Splunk shops |
| MDR option | ManySignal MDR: 24/7 managed coverage on the same platform | No native managed service; Splunk has separate MDR partnerships |
| Licensing model | Outcome-based: protected assets, not event volume | Workload/ingest-based Splunk platform licensing |
| Primary UI paradigm | Agent workbench: verdicts, evidence, and autonomy controls surfaced first | Playbook builder + mission control; analyst-led workflow with playbook execution as the primary action |
Reflects publicly available information, provided in good faith. Verify current capabilities with each vendor.
Where each product genuinely wins
Splunk SOAR genuine strengths
- Splunk-native integration. Mission Control, Splunk ES, and Splunk UBA data sharing provide integrated context that third-party SOAR platforms cannot replicate without additional configuration.
- Playbook maturity. Phantom's long history means battle-tested playbooks for common SOC workflows and a practitioner community that has solved most common integration patterns.
- Splunkbase apps. 350+ apps with deep integration into Splunk's broader ecosystem and Cisco's security portfolio.
- On-premises option. For organisations with strict data residency requirements, Splunk SOAR's on-premises deployment aligns with existing Splunk infrastructure.
ManySignal genuine strengths
- No playbook engineering required. Triage agents produce verdicts on every alert without analyst-authored playbooks. Coverage is guaranteed, not dependent on SOAR engineering investment.
- Predictable pricing. Per-endpoint/user pricing does not scale with log volume — a structural advantage as data growth continues to challenge per-GB SIEM pricing models.
- Entity graph. Persistent cross-source entity graph provides cross-alert investigative context that query-time enrichment cannot replicate.
- Stack-agnostic. Works across mixed-vendor environments without requiring Splunk as the anchor platform.
Moving from Splunk SOAR to ManySignal
Teams with significant Splunk investment typically run both systems in parallel for 6–8 weeks before deciding on the final SIEM/SOAR scope.
Weeks 1–2
Playbook classification
Catalog all active Splunk SOAR playbooks. Separate triage/enrichment playbooks (ManySignal replaces) from orchestration playbooks (ticketing, notifications, response actions).
Weeks 3–4
Parallel triage
ManySignal ingests from the same sources as Splunk ES. Run both platforms against live alerts. Validate ManySignal verdict quality against analyst ground truth.
Weeks 5–6
Retire triage playbooks
Sunset Splunk SOAR playbooks that overlap with ManySignal's investigation layer. Pipe ManySignal verdicts into remaining Splunk SOAR orchestration playbooks.
Weeks 7–8
Scope decision
Determine whether to retain Splunk for non-security analytics. Enable ManySignal autonomous response tiers. Consolidate or retire remaining Splunk SOAR infrastructure.
Decision guide
Choose ManySignal if...
- You want autonomous triage coverage across all alert types without playbook engineering.
- Splunk's per-GB pricing is a growing concern as your data volumes increase.
- You're evaluating your security stack independently from an existing Splunk contract.
- You want governed autonomous response with blast-radius limits out of the box.
- MDR coverage on the same platform as your in-house tools is a priority.
Choose Splunk SOAR if...
- You're deeply committed to the Splunk platform and want native ES/UBA integration.
- You have a mature SOAR engineering team and want playbook-level control.
- On-premises deployment is a requirement and aligns with existing Splunk infrastructure.
- You have significant existing Splunk SOAR playbook investment near-term.
- Cisco's broader security portfolio integration is strategically important.
ManySignal vs Splunk SOAR: common questions
We're a large Splunk shop. Is Splunk SOAR the default choice?
If Splunk ES is your primary SIEM and you're committed to the Splunk platform, Splunk SOAR's native data sharing, search integration, and mission control unification are genuine advantages. ManySignal integrates with Splunk as a data source but doesn't have the same native Splunk-to-SOAR synergy. The honest trade-off: native integration vs autonomous investigation that doesn't require playbook engineering for each alert type.
Splunk SOAR (Phantom) has been around a long time. Does that maturity matter?
Phantom was acquired by Splunk in 2018 and has a long track record in enterprise SOAR. That maturity means proven scalability, a large practitioner community, and deep integration coverage. ManySignal is younger but builds on a different architectural premise — agents-first rather than playbooks-first — which changes the value proposition for teams evaluating both.
How does ManySignal handle Splunk's per-GB pricing concern?
ManySignal prices per protected endpoint/user, not per GB ingested or per alert volume. Teams switching from Splunk typically find this model more predictable as data volumes grow. If you keep Splunk for non-security workloads, ManySignal can ingest from Splunk's search output rather than duplicating raw log ingestion.
We have mature Splunk SOAR playbooks. What's the migration path?
Playbooks handling downstream orchestration — JIRA ticket creation, PagerDuty alerting, firewall block APIs — can continue running after ManySignal takes over triage. The migration sequence is: map playbooks by category, run ManySignal in parallel for 4–6 weeks to validate verdict quality, then retire triage playbooks and wire ManySignal output to remaining orchestration plays.
Does ManySignal replace the need for Splunk ES as a detection layer?
For most teams, yes. ManySignal ships its own detection engine with OCSF-aligned ingestion and curated detections across endpoint, cloud, identity, network, and email. Teams that want to keep Splunk ES can pipe its alerts into ManySignal for triage without re-ingesting raw logs, though Splunk's per-GB costs remain in that model.
How does the SOAR playbook engineering burden compare over time?
Splunk SOAR playbooks are Python-based and require engineering investment to build, test, and maintain as APIs change and environments evolve. A mature Splunk SOAR deployment with 100+ playbooks typically requires at least one dedicated SOAR engineer. ManySignal's investigation logic is agent-driven and maintained by the platform team — you configure policies and detection rules, but you don't write investigation code.
What are the licensing implications of moving from Splunk SOAR to ManySignal?
Splunk SOAR is typically licensed per event count or per named user depending on the commercial agreement. ManySignal is priced per protected asset (user + endpoint). For most teams, the licensing model shift results in more predictable costs — alert volume increases don't increase licensing costs. If you're retaining Splunk for non-security use cases, the net cost is ManySignal plus Splunk's residual cost, which varies by what Splunk workloads remain.
Does ManySignal provide an independent evaluation methodology comparable to Splunk's ES Analyst Guide?
ManySignal's evaluation process includes a 30-day proof-of-concept where the platform connects to your environment and generates verdicts on your live alert queue. Pre-deployment MTTR baseline measurements are taken from historical incidents, and 30/60/90-day improvements are tracked against that baseline. The evaluation results are provided as a report with specific metrics — detection coverage, auto-closure rate, MTTR improvement — that you can use in your internal procurement process.
Related comparisons
See the agentic SOC in action
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