Tracecat

Tines alternatives

Best Tines alternatives for agentic security operations in 2026

Tines now has two products. Stories remains its visual, no-code designer for security and IT operations. Tines 3B is a code-first, general-purpose AI building platform for apps, agents, and automations. For AI-native security teams, Tracecat is the best alternative.

What is the best Tines alternative for AI-native security teams?

To compare Tines alternatives, start with the product Tines calls its next generation. Stories remains its visual, no-code designer purpose-built for security and IT operations. Tines says building something truly AI-native meant starting fresh because Stories was built on a no-code foundation. The result is Tines 3B, a code-first, general-purpose AI building platform for apps, agents, and automations.

Tines says it will keep investing in Stories. Even so, its next-generation product is not purpose-built for security operations.

For AI-native security teams, Tracecat is the best alternative. It was built for AI agents and security engineers from day one. One preset agent works across workflows, cases, and chat. It can use reusable skills, case context, and searchable table data during an investigation.

Tracecat MCP is optimized for security automation and operations. Coding assistants can build and run workflows, agents, tables, and cases. Tracecat also provides 65+ hosted MCP servers for agents. Tracecat curates and maintains the catalog. Tines supports remote MCP servers, but does not provide a comparable out-of-the-box catalog.

Git sync exports workflows, preset agents, skills, table schemas, and case configuration to repositories your team owns.

Tracecat is open source and available as managed cloud or fully self-hosted. Run it on premises with Docker or the Enterprise Kubernetes deployment. AWS Fargate is also supported. Tracecat supports any LLM provider or gateway, cloud or self-hosted.

Why AI-native security teams outgrow Tines

Tines Stories is built around visual workflows. AI-native security teams need security agents with skills, deep case integration, and searchable tables. They also need a platform optimized for coding assistants, Git sync, full self-hosting, and support for any LLM provider or gateway.

Tines alternatives at a glance

Start with what each platform is built around, then compare features.

PlatformBest forAgent modelCasesGit and codeDeployment
TracecatAI-native security teams that want agents, workflows, cases, and automation-as-code. Tracecat also supports full self-hosting and any LLM provider or gateway.The open source edition includes AI and agent actions inside workflows plus Tracecat MCP for coding assistants. Enterprise adds the agent builder, preset agents, skills, and 65+ hosted MCP servers curated and maintained by Tracecat. The same preset agent works across workflows, cases, and chat.Case management includes custom fields, comments, and attachments. Enterprise adds tasks, linked table rows, triggers, metrics, and agent mentions. Tables provide structured storage with lookup and search.Enterprise Git sync exports workflows, preset agents, skills, table schemas, and case configuration to customer-owned GitHub, GitLab, or Bitbucket repositories.Managed cloud or full self-hosting with Docker or AWS Fargate. Enterprise adds Kubernetes Helm deployment.
TorqEnterprise SOCs that want a hosted AI SOC platform with self-hosted runners for private execution.Multi-agent investigation, case handling, and response built inside Torq.Native case management for investigation through remediation.Visual and agentic building inside Torq. No verified customer-owned Git model.Vendor-operated control plane. Self-hosted Step Runners on Docker, Kubernetes, or Podman for private execution. No customer-hosted control plane is documented.
BlinkOpsTeams that want a no-code agent builder, workflows, and cases from one hosted vendor, with runners for private networks.No-code agent builder, reusable and custom micro-agents, Analyst Copilot, and approval gates.Native case management with tables and dashboards.No-code builder. No verified customer-owned Git model.Vendor-operated control plane. Cloud or self-hosted runners in Docker or Kubernetes.
D3 SecurityEnterprises that want vendor-defined autonomy controls and on-premises or air-gapped deployment from a proprietary platform.Vendor-defined autonomy modes and governed response on a deterministic SOAR engine.Unified case management with one audit trail.Proprietary playbook format. No verified customer-owned Git model.Cloud, on-premises, hybrid, sovereign, and air-gapped. Native multi-tenancy.
SwimlaneEnterprise SOCs standardized on low-code playbooks that want on-premises deployment from a commercial vendor.Hero AI companion, an agent builder for custom expert agents, and AI SOC workflows inside Turbine.Integrated security case management.Low-code components versioned through Git integration. Logic stays in Swimlane's format.Cloud or on-premises.
Cortex XSOARLarge SOCs already standardized on Palo Alto Networks that want the content pack library and the AgentiX upgrade path.System and custom agents through Cortex AgentiX.Integrated incident management.Python and JavaScript automations. Remote content repositories in Git for dev and prod setups.Cloud or on-premises.
Google Security Operations (Chronicle SOAR)Enterprises already on Google Security Operations or Google Cloud that want SIEM, threat intelligence, cases, and response automation from one Google-managed platform.Gemini assistance and a Google-provided Triage and Investigation Agent with fixed built-in tools. A managed remote MCP server and a pre-GA Detection Engineering Agent extend access. No customer-defined agent builder or skills registry.Native case management with alert grouping, queues, tasks, collaboration, and audit history. Case-level playbooks are pre-GA and not available to every customer in every region.Visual playbooks and reusable blocks, plus a Python IDE for custom integrations. Google documents built-in versioning, export, and rollback. No customer-owned Git sync appears in the reviewed materials.Google-managed cloud control plane. Remote Agents execute integrations, connectors, and jobs near private systems. No customer-hosted control plane is documented.
Splunk SOARSplunk Enterprise Security customers that want orchestration and cases from the vendor they already run.No standalone agent builder. AI features come from the broader Splunk security platform.Integrated case management.Visual Playbook Editor, Python playbooks, and Git repositories.Cloud, on-premises, or hybrid.
DFIR IRISTeams that want a free, self-hosted case and evidence system and already run automation elsewhere.None. The documentation shows no AI or agent features.Cases with assets, IOCs, timeline, evidence, notes, tasks, and alerts. Real-time war rooms for collaboration.LGPL v3 source. Python modules extend the core through pipeline and processor hooks. REST API and a Python client.Self-hosted on Docker Compose. Helm and Kustomize starting points for Kubernetes.
ShuffleTeams that need free visual SOAR and accept maintaining a pre-agent platform themselves.AI Agent action added in 2025. Agents call Shuffle apps as MCP tools with action approvals. Approvals do not yet notify in real time. Agent-built workflows are still marked coming soon.No native case management. Case actions create and update tickets in third-party tools. Shuffle Security with incident management is a separate roadmap item.AGPL v3 backend with MIT apps, workflows, and App SDK. Apps come from OpenAPI specs or Python. Workflows back up to GitHub. No two-way sync from repositories you own.Self-hosted on Docker Compose. Docker Swarm or Kubernetes for scaled runtime locations. Shuffle Cloud SaaS and a hybrid mode.
n8nTeams automating across departments where security is one workload among many and cases live in another tool.AI agent and model nodes inside general-purpose workflows.No native security case management. Cases live in another tool.Source control on qualifying commercial plans.Self-hosted or n8n Cloud.

Methodology: we reviewed each vendor's own product, deployment, and pricing documentation in September 2026. Recommendations reflect our assessment of technical fit for AI-native security teams.

How each Tines alternative compares

What each platform is built for and where it falls short.

Agentic security operations

Tracecat

Open source SOAR for AI-native security teams

Best for: AI-native security teams that want agents, workflows, cases, and automation-as-code. Tracecat also supports full self-hosting and any LLM provider or gateway.

Tradeoff: Preset agents, skills, Git sync, and Kubernetes deployment require Enterprise.

Agent model

The open source edition includes AI and agent actions inside workflows plus Tracecat MCP for coding assistants. Enterprise adds the agent builder, preset agents, skills, and 65+ hosted MCP servers curated and maintained by Tracecat. The same preset agent works across workflows, cases, and chat.

Cases

Case management includes custom fields, comments, and attachments. Enterprise adds tasks, linked table rows, triggers, metrics, and agent mentions. Tables provide structured storage with lookup and search.

Git and code

Enterprise Git sync exports workflows, preset agents, skills, table schemas, and case configuration to customer-owned GitHub, GitLab, or Bitbucket repositories.

Deployment

Managed cloud or full self-hosting with Docker or AWS Fargate. Enterprise adds Kubernetes Helm deployment.

Scale and security

Temporal durable execution. Enterprise adds KEDA scaling and nsjail isolation on Kubernetes.

Pricing

The open source edition is free. Every plan includes unlimited workflows, workspaces, and cases. Enterprise adds preset agents, skills, Git sync, Kubernetes deployment, RBAC, SCIM, and a forward deployed security engineer.

Torq

Vendor-operated AI SOC platform

Best for: Enterprise SOCs that want a hosted AI SOC platform with self-hosted runners for private execution.

Tradeoff: Proprietary with no public pricing. Runners can self-host. The control plane, automation logic, and agent definitions stay inside Torq.

Agent model

Multi-agent investigation, case handling, and response built inside Torq.

Cases

Native case management for investigation through remediation.

Git and code

Visual and agentic building inside Torq. No verified customer-owned Git model.

Deployment

Vendor-operated control plane. Self-hosted Step Runners on Docker, Kubernetes, or Podman for private execution. No customer-hosted control plane is documented.

Scale and security

Self-hosted runners keep private-step execution in your network. Torq manages control-plane scaling and execution security. The platform is closed source.

Pricing

Contact sales. No public pricing.

BlinkOps

Vendor-operated agentic security operations platform

Best for: Teams that want a no-code agent builder, workflows, and cases from one hosted vendor, with runners for private networks.

Tradeoff: Vendor-operated control plane with no public pricing and no verified model for customer-owned Git.

Agent model

No-code agent builder, reusable and custom micro-agents, Analyst Copilot, and approval gates.

Cases

Native case management with tables and dashboards.

Git and code

No-code builder. No verified customer-owned Git model.

Deployment

Vendor-operated control plane. Cloud or self-hosted runners in Docker or Kubernetes.

Scale and security

Self-hosted runners keep private-system execution in your network. Blink hosts the rest.

Pricing

Contact sales. No public pricing.

D3 Security

Proprietary agentic SOC platform on a deterministic SOAR engine

Best for: Enterprises that want vendor-defined autonomy controls and on-premises or air-gapped deployment from a proprietary platform.

Tradeoff: Proprietary annual subscription with no public pricing. No verified model for customer-owned Git.

Agent model

Vendor-defined autonomy modes and governed response on a deterministic SOAR engine.

Cases

Unified case management with one audit trail.

Git and code

Proprietary playbook format. No verified customer-owned Git model.

Deployment

Cloud, on-premises, hybrid, sovereign, and air-gapped. Native multi-tenancy.

Scale and security

Customer-managed on-premises or air-gapped. Vendor-managed in cloud.

Pricing

Annual subscription. Contact sales. No public pricing.

Enterprise SOAR

Swimlane

Proprietary low-code security automation

Best for: Enterprise SOCs standardized on low-code playbooks that want on-premises deployment from a commercial vendor.

Tradeoff: Proprietary with no public pricing. Playbooks and Hero AI agents live inside Turbine rather than code your team owns.

Agent model

Hero AI companion, an agent builder for custom expert agents, and AI SOC workflows inside Turbine.

Cases

Integrated security case management.

Git and code

Low-code components versioned through Git integration. Logic stays in Swimlane's format.

Deployment

Cloud or on-premises.

Scale and security

Vendor-managed in cloud. Customer-managed on-premises.

Pricing

Contact sales. No public pricing.

Cortex XSOAR

Legacy enterprise SOAR transitioning into Cortex AgentiX

Best for: Large SOCs already standardized on Palo Alto Networks that want the content pack library and the AgentiX upgrade path.

Tradeoff: Portfolio lock-in. Palo Alto positions Cortex AgentiX as the next generation of XSOAR. The upgrade path, proprietary format, and pricing all run through Palo Alto Networks sales.

Agent model

System and custom agents through Cortex AgentiX.

Cases

Integrated incident management.

Git and code

Python and JavaScript automations. Remote content repositories in Git for dev and prod setups.

Deployment

Cloud or on-premises.

Scale and security

Vendor-managed in cloud. Customer-managed on-premises.

Pricing

Contact sales. No public pricing.

Google Security Operations (Chronicle SOAR)

Google-managed SIEM and SOAR

Best for: Enterprises already on Google Security Operations or Google Cloud that want SIEM, threat intelligence, cases, and response automation from one Google-managed platform.

Tradeoff: Proprietary and tied to Google's security stack. The control plane is Google-managed. No customer-owned Git sync is documented. Pricing runs through sales.

Agent model

Gemini assistance and a Google-provided Triage and Investigation Agent with fixed built-in tools. A managed remote MCP server and a pre-GA Detection Engineering Agent extend access. No customer-defined agent builder or skills registry.

Cases

Native case management with alert grouping, queues, tasks, collaboration, and audit history. Case-level playbooks are pre-GA and not available to every customer in every region.

Git and code

Visual playbooks and reusable blocks, plus a Python IDE for custom integrations. Google documents built-in versioning, export, and rollback. No customer-owned Git sync appears in the reviewed materials.

Deployment

Google-managed cloud control plane. Remote Agents execute integrations, connectors, and jobs near private systems. No customer-hosted control plane is documented.

Scale and security

Control plane runs on Google Cloud. Remote Agents provide private-network execution, not control-plane ownership.

Pricing

Standard, Enterprise, and Enterprise Plus packages priced by ingestion volume. Contact sales. No public package prices.

Splunk SOAR

SOAR tied to the Splunk security ecosystem

Best for: Splunk Enterprise Security customers that want orchestration and cases from the vendor they already run.

Tradeoff: Ecosystem lock-in. The value depends on running Splunk as your SIEM. Pricing runs through Splunk sales.

Agent model

No standalone agent builder. AI features come from the broader Splunk security platform.

Cases

Integrated case management.

Git and code

Visual Playbook Editor, Python playbooks, and Git repositories.

Deployment

Cloud, on-premises, or hybrid.

Scale and security

Vendor-managed in cloud. Customer-managed on-premises.

Pricing

Commercial licensing. Contact sales. No public pricing.

Open source and general automation

DFIR IRIS

Open source incident response case management

Best for: Teams that want a free, self-hosted case and evidence system and already run automation elsewhere.

Tradeoff: Not a SOAR. No workflow engine and no agents. You build the automation glue around it and maintain the stack.

Agent model

None. The documentation shows no AI or agent features.

Cases

Cases with assets, IOCs, timeline, evidence, notes, tasks, and alerts. Real-time war rooms for collaboration.

Git and code

LGPL v3 source. Python modules extend the core through pipeline and processor hooks. REST API and a Python client.

Deployment

Self-hosted on Docker Compose. Helm and Kustomize starting points for Kubernetes.

Scale and security

Customer-managed. Web app, PostgreSQL, RabbitMQ, worker, and NGINX. Modules run as async RabbitMQ jobs. No workflow engine.

Pricing

Free and open source. No commercial edition or hosted plan. Donations through OpenCollective.

Shuffle

Legacy open source visual SOAR

Best for: Teams that need free visual SOAR and accept maintaining a pre-agent platform themselves.

Tradeoff: Pre-agent architecture from 2019 with agents added in 2025. No native case management and no two-way Git sync. Every app action spawns a Docker container. Scaling depends on Docker Swarm or Kubernetes. In our assessment, this is slow and hard to operate at volume.

Agent model

AI Agent action added in 2025. Agents call Shuffle apps as MCP tools with action approvals. Approvals do not yet notify in real time. Agent-built workflows are still marked coming soon.

Cases

No native case management. Case actions create and update tickets in third-party tools. Shuffle Security with incident management is a separate roadmap item.

Git and code

AGPL v3 backend with MIT apps, workflows, and App SDK. Apps come from OpenAPI specs or Python. Workflows back up to GitHub. No two-way sync from repositories you own.

Deployment

Self-hosted on Docker Compose. Docker Swarm or Kubernetes for scaled runtime locations. Shuffle Cloud SaaS and a hybrid mode.

Scale and security

Go backend with OpenSearch as the document store. One Worker container per execution, then one Docker container per app action. Shuffle's own sizing example is 110 containers per second at ten concurrent workflows. Scaling needs Docker Swarm or Kubernetes plus Memcached. The scale-optimized worker image is paid.

Pricing

Free open-source edition. Cloud Scale plan at $29 per month for 10,000 app runs. Business and Enterprise plans are licensed by app runs, cloud or self-hosted. Contact sales.

n8n

Fair-code general workflow automation

Best for: Teams automating across departments where security is one workload among many and cases live in another tool.

Tradeoff: No native security case management. Source-available, not OSI open source. Git source control is a paid plan feature.

Agent model

AI agent and model nodes inside general-purpose workflows.

Cases

No native security case management. Cases live in another tool.

Git and code

Source control on qualifying commercial plans.

Deployment

Self-hosted or n8n Cloud.

Scale and security

Customer-managed when self-hosted. Vendor-managed on n8n Cloud.

Pricing

Free community edition plus commercial cloud and enterprise plans.

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Security Engineer @ Depop

Tracecat copilot has changed my life. I describe an agentic workflow and it builds it for me. I never had time to build and experiment around my other responsibilities. Now I do.

Senior Security Engineer @ Neo Financial

A genuine thank you to the team. I built an end-to-end IoC enrichment pipeline with Claude and Tracecat MCP and created more value for our SOC in a day than I probably would have in weeks on my own. You're making my one-man SOC assignment possible.

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