Comparison
ManySignal vs Swimlane: agentic SOC vs SOAR with an agentic layer
Swimlane has built a mature SOAR platform and added AI capabilities through Hero AI. ManySignal is built agent-first. The architecture you start from shapes what you end up with.
Swimlane
Mature SOAR + agentic layer
Swimlane built a proven SOAR platform over a decade and has added Hero AI to surface AI assistance within that workflow. Bought by enterprise SOC teams with dedicated SOAR engineering who want low-code playbook automation plus emerging AI capabilities.
ManySignal
Agentic SOC + MDR platform
ManySignal is built agent-first: AI agents are the primary triage and investigation loop, not an add-on to a SOAR substrate. Bought by security leaders who want autonomous verdicts on every alert and governed response without extensive playbook engineering.
Who buys each
Engineering investment vs outcomes
Swimlane suits teams willing to invest SOAR engineering capacity. ManySignal suits teams where the outcome — verdicts and governed response at scale — matters more than controlling every playbook node.
Feature comparison
| Capability | ManySignal | Swimlane |
|---|---|---|
| Product category | Agentic SOC + MDR platform | SOAR + agentic layer (Hero AI) |
| Detection surface | Shipped detections across endpoint, cloud, identity, network, and email | No native detection engine; detections flow in from connected SIEMs and EDRs |
| Entity graph | Persistent cross-source entity graph: users, devices, IPs, applications, linked over time | Case and record management; entity relationships must be configured in playbook fields |
| Behavioural baselines | Per-entity ML baselines used in every alert's confidence scoring | Not a core platform capability; requires external data integration |
| Triage agent | Autonomous agent investigates every alert end-to-end and delivers a confidence-weighted verdict | Hero AI surfaces enrichment suggestions and automates playbook steps; investigation authored by analysts |
| Verdict on every alert | Structured true/false-positive verdict with evidence chain on 100% of alerts | Outcome depends on playbook coverage; no platform-level verdict on uncovered alert types |
| Response autonomy ladder | Built-in tiers: notify → contain → remediate, configurable per alert class with blast-radius limits | Playbooks support automated response; autonomy governance must be hand-built per playbook |
| Blast-radius limits | Native guardrails cap automated actions by scope and impact | Guardrails are logical conditions within playbooks; no system-wide blast-radius concept |
| Per-tenant kill switch | One-click pause of all automated response per tenant, logged | Playbooks can be disabled individually; no unified kill switch across all automated actions |
| Evidence trail | Immutable per-alert evidence log with reasoning steps, timestamps, and operator attestation | Audit log tracks playbook execution steps; alert-level reasoning trail requires analyst documentation |
| Connector count | 300+ managed integrations | Extensive integration library; broad coverage across security and IT tooling |
| Ingestion pricing model | Per-endpoint/user; no per-GB or per-alert charges | User and case-based licensing; pricing scales with platform usage |
| Deployment model | Cloud-native SaaS, multi-tenant with strong tenant isolation | Cloud SaaS and on-premises; customer-controlled deployment options |
| Best-fit team size | Mid-market to enterprise; MSPs and MSSPs operating multi-tenant | Mid-market to large enterprise SOC teams with dedicated SOAR engineering resources |
| MDR option | ManySignal MDR: 24/7 managed coverage on the same platform | No managed service; Swimlane is a tooling platform |
| Licensing model | Outcome-based: protected assets, not alert or case volume | Platform subscription; case and user-based licensing |
| Primary UI paradigm | Agent workbench: verdicts, evidence, and autonomy controls surfaced first | Case management + playbook builder; analyst-led workflow with AI assistance |
Reflects publicly available information, provided in good faith. Verify current capabilities with each vendor.
Where each product genuinely wins
Swimlane genuine strengths
- Mature SOAR foundation. A decade of SOAR engineering means Swimlane has solved hard problems in case management, SLA tracking, and playbook reliability that newer platforms are still working through.
- On-premises option. For organisations with data sovereignty or air-gap requirements, Swimlane's on-premises deployment is a capability ManySignal does not offer.
- Low-code playbooks. Swimlane's drag-and-drop playbook builder is polished and accessible to analysts without deep developer skills.
- Case management depth. Swimlane's case and record management is enterprise-grade — SLA management, role-based queuing, and reporting are strong.
ManySignal genuine strengths
- Agent-first architecture. Triage agents investigate every alert — not just the ones where a playbook was authored. Coverage is platform-guaranteed, not engineering-dependent.
- Entity graph. Persistent graph linking users, devices, IPs, and applications provides cross-alert context that playbook-based enrichment cannot replicate at query time.
- Governed autonomy. Response autonomy ladder with per-tenant kill switch and blast-radius limits ships out of the box — not as a configuration project.
- MDR option. ManySignal MDR provides 24/7 managed coverage on the same platform without a separate service procurement.
Moving from Swimlane to ManySignal
Swimlane migrations typically run in parallel for 6–8 weeks to validate verdict quality before retiring playbooks that overlap with ManySignal's investigation layer.
Weeks 1–2
Playbook audit
Map all active Swimlane playbooks. Classify: detection/triage logic vs downstream orchestration (ticketing, notifications, containment actions).
Weeks 3–4
Parallel operation
Connect ManySignal to live data sources. Run both platforms. Compare ManySignal verdicts against Swimlane analyst outcomes on the same alert population.
Weeks 5–6
Retire triage playbooks
Remove Swimlane playbooks that duplicate ManySignal triage. Wire ManySignal verdicts as input to Swimlane orchestration playbooks that remain.
Weeks 7–8
Enable autonomy tiers
Activate autonomous response on validated alert classes. Migrate or retire remaining Swimlane case management based on team preference.
Decision guide
Choose ManySignal if...
- You need autonomous verdicts on every alert, not just alerts where a playbook exists.
- Your team lacks the engineering capacity to author and maintain SOAR playbooks at scale.
- You require governed autonomous response with blast-radius limits out of the box.
- Multi-tenant MDR delivery is a priority for your team or business model.
- You want 24/7 managed coverage (MDR) on the same platform as your in-house tools.
Choose Swimlane if...
- Your SOC has a dedicated SOAR engineering function and wants platform ownership.
- On-premises deployment is a regulatory or architectural requirement.
- You have significant existing Swimlane playbook investment to leverage.
- Enterprise-grade case management with SLA tracking is a core buying requirement.
- You want an AI layer added progressively on top of a proven SOAR foundation.
ManySignal vs Swimlane: common questions
Swimlane recently added Hero AI. How does that compare to ManySignal's agents?
Hero AI augments Swimlane's SOAR layer with AI-assisted enrichment and playbook recommendations. ManySignal's agents are the primary triage loop — they investigate every alert autonomously, produce evidence-weighted verdicts, and govern response without requiring analyst-authored playbooks for each alert type. The architectures are different: Swimlane adds AI to a SOAR substrate; ManySignal is built agent-first with SOAR capabilities layered on top.
We have existing Swimlane playbooks we've invested in. Do we lose that work?
Playbook logic that handles downstream orchestration (ticket creation, notifications, containment actions to specific tools) can often continue running. The investigation and triage layer is what ManySignal replaces. A parallel-run transition lets teams validate ManySignal verdicts before migrating playbooks that overlap with triage logic.
Swimlane supports on-premises deployment. Does ManySignal?
ManySignal is cloud-native SaaS. For organisations with regulatory requirements that mandate on-premises deployment, Swimlane's deployment flexibility is a genuine advantage ManySignal does not match today.
How does ManySignal handle multi-tenant environments compared to Swimlane?
ManySignal is architected for multi-tenant from the ground up — MSPs and MSSPs can operate per-client tenants with isolated data, per-tenant kill switches, and consolidated management views. Swimlane supports multi-tenancy but it is typically configured per deployment rather than a native first-class feature.
Does ManySignal replace a SIEM, or does it layer on top of one?
ManySignal ingests telemetry directly and ships its own detection layer, so most teams replace their SIEM as the primary detection surface. Teams with large existing SIEM investments can pipe SIEM alerts into ManySignal for triage without re-ingesting raw logs, though the SIEM cost then remains.
How does ManySignal's entity graph compare to Swimlane's case management and correlation capabilities?
Swimlane's case management correlates alerts into cases based on rules you configure. ManySignal's entity graph continuously models all entities (users, devices, cloud resources, SaaS apps) and their relationships — this graph is the substrate for all triage, investigation, and blast-radius estimation. When an alert fires, ManySignal traverses the graph to find the full attack context. This is architecturally different from rule-based case correlation and enables correlation patterns that aren't predefined.
How do Swimlane and ManySignal compare in the buyer market — who uses each?
Swimlane's core buyer is a large enterprise SOC with dedicated SOAR engineering capacity, a mature playbook library, and a preference for low-code customisation. ManySignal's buyer tends to be a mid-market security team or enterprise team that wants autonomous triage without the playbook engineering overhead. There is overlap at the enterprise level where teams are comparing SOAR investment against agent-native alternatives.
What does the 30-day evaluation process look like for each platform?
Swimlane evaluations typically involve a professional services engagement to configure integrations and build representative playbooks. ManySignal's evaluation is self-serve within the first week — connectors are configured via a wizard, and the platform generates verdicts on your live queue without requiring custom playbook authoring. ManySignal's evaluation is specifically designed to show value quickly without engineering investment from your team during the trial.
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