Agentic Soc Platform

Agentic Soc Platform

Open-source, self-hosted Agentic SOC platform that turns SIEM alert floods into AI-investigated cases.

64/100MonitorFreeFree

ASP is a genuinely rare thing: an open-source workspace that treats LLM triage as a first-class step rather than a bolt-on dashboard. Pick it if you have Python-fluent engineers and a hard data-residency requirement — the MIT license and on-prem deployment remove the per-seat math entirely. Skip it if you need a managed cloud SIEM with pre-built Jira, Slack, and PagerDuty plumbing; you will be writing that glue yourself.

Verified 1d ago · liveness 64/100 · cite: rightaichoice.com/tools/agentic-soc-platform

Best for
  • SOC analysts buried in alert volume who want an AI-drafted investigation report as a starting point
  • MSSPs that need open-source, on-premise SOC tooling without per-seat licensing
  • Security engineers fluent in Python and YAML who can configure modules, playbooks, and SIEM mappings
  • Blue teams with existing Splunk or ELK deployments that must keep data inside their network
Not ideal for
  • Teams wanting a fully managed cloud SIEM/SOAR with vendor support and SLAs
  • Analysts without scripting skills who expect a plug-and-play console
  • Organizations that need documented out-of-the-box Jira, Slack, or PagerDuty connectors
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AdvancedFor a security engineer familiar with Python and Docker, initial deployment and connecting Splunk or ELK can take 2-3 days. Writing custom modules and playbooks for the first time might add a week. Analysts can get value immediately once cases start flowing, but full automation setup typically takes 1-2 weeks for a technical team.Web · CLIAPI availableVerified 1d ago
Pricing
Free
FreeFree tier4 hidden costs
Learning curve
Advanced
For a security engineer familiar with Python and Docker, initial deployment and connecting Splunk or ELK can take 2-3 days. Writing custom modules and playbooks for the first time might add a week. Analysts can get value immediately once cases start flowing, but full automation setup typically takes 1-2 weeks for a technical team.
Runs on
WebCLI
API available · 2 integrations
Who it's for
SOC analystSecurity engineerMSSP
Live sentiment
Is Agentic Soc Platform actually worth it?

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  • Real pros & cons from real users
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Skip it if

Skip Agentic Soc Platform if you need a fully managed cloud SIEM/SOAR with pre-built integrations and vendor support—this is a self-hosted, open-source tool that demands Python and YAML skills.

The 30-second take
Biggest gripe

You must self-host, so you bear infrastructure costs (servers, storage, networking) and ongoing maintenance labor—no cloud option is provided.

Price reality

ASP is free (MIT-licensed), so the cost is your own infrastructure and engineering time. For a self-sufficient team, it undercuts commercial SIEM/SOAR suites like Splunk SOAR or IBM QRadar, which charge per-seat or per-GB. But if you need hands-off managed service, a paid cloud SIEM might be cheaper than your internal DevOps time.

In short

Agentic Soc Platform — Open-source, self-hosted Agentic SOC platform that turns SIEM alert floods into AI-investigated cases. Best for SOC analysts buried in alert volume who want an AI-drafted investigation report as a starting point, MSSPs that need open-source, on-premise SOC tooling without per-seat licensing, Security engineers fluent in Python and YAML who can configure modules, playbooks, and SIEM mappings. Free to use.

What people actually say about Agentic Soc Platform — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

9 mentions across 2 sources (GitHub, Lemmy) · researched Jul 31, 2026.

30% positive70% critical

Average across the 2 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Open-source (MIT) with full customization and on-premise control.
  • +Unifies SIEM, SOAR, threat intel, and knowledge management in one platform.
  • +AI investigation drafts with severity, confidence, and remediation guidance.
  • +Playbook automation combining LLM analysis and SOAR-style actions.
  • +Harness Agent and MCP support for advanced AI agent integration.
Recurring frustrations
  • High resource requirements due to nocoly dependency.
  • ELK integration authentication is buggy for some users.
  • Limited community support; few active users or external resources.
  • Requires Python scripting for custom SIEM rules and alert sources.
  • Deployment stability issues reported in early versions.
Patterns worth knowing
High resource requirements due to nocoly dependency limits testing and deployment.
Seen on GitHub
Authentication issues with ELK integration cause setup friction.
Seen on GitHub
Open-source and agent-centric design appeals to teams wanting control.
Seen on GitHub
Learning curve
advancedProductive in ~Days of setup
Hidden costs people mention
  • Infrastructure cost for self-hosting (servers, storage).
  • Time cost for setup, customization, and ongoing maintenance.

Viability Score

64/100
Monitor

How well maintained and how widely used is Agentic Soc Platform? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
90
Site health
95
User sentiment
30
What the vendor publishes
20

Last calculated: September 2026

How we score →

Key Features

  • Open-source, MIT-licensed, self-hosted on-premise deployment
  • SIEM alert intake via Splunk, ELK, or generic webhooks
  • YAML-configured modules for new SIEM rules and alert sources
  • AI investigation reports with severity, confidence, impact, priority, and verdicts
  • Attack chain reconstruction and remediation guidance per case
  • Playbook automation for LLM investigation with human approval gates
  • Automatic IOC and artifact enrichment with reputation, pulses, and asset context
  • CMDB and identity context enrichment around each case
  • Knowledge extraction loop turning closed cases into a reusable security knowledge base
  • Unified search across Splunk, ELK, and index actions via one YAML-configured interface
  • Harness Agent integration through asp-cli and Skills
  • Agents can operate cases, search logs, query threat intelligence, and write modules or playbooks
  • Local and LDAP authentication with role-based access control
  • API keys for automation access plus Inbox notifications
  • Audit log for governance and accountability

About Agentic Soc Platform

FreeAdvancedAPI availableWeb · CLI

ASP (Agentic SOC Platform) is an MIT-licensed, self-hosted security operations platform that collapses the usual SIEM / SOAR / threat-intel / knowledge split into one traceable loop. Alerts arrive from Splunk, ELK, or generic webhooks through YAML-configured modules; ASP extracts IOCs, correlates context, and opens Cases, alerts, and artifacts so raw logs become something an analyst can actually triage. It is aimed at SOC analysts, MSSPs, and security engineers who code in Python and want their security data to stay inside their own network. The centerpiece is the investigation. Given a case, ASP gathers alerts, entities, logs, and enrichment results and drafts a reviewable report covering severity, confidence, impact, priority, verdicts, attack chains, and remediation guidance. Playbooks run LLM investigation, knowledge extraction, threat-intelligence and CMDB enrichment with human approval gates, so automation stays accountable instead of firing blind. A unified search layer manages Splunk, ELK, and index actions through YAML config, letting analysts, LLMs, and agents work one interface without caring which backend they hit. Beyond triage, ASP keeps a knowledge loop: reusable facts extracted from closed cases, notes, remediation steps, and discussions feed an organizational security knowledge base that sharpens later responses. Harness Agents reach into the platform through asp-cli and Skills to operate cases, search logs, query threat intelligence, and even write new modules or playbooks. Governance ships in the box — local or LDAP login, user roles, API keys, Inbox notifications, and an audit log covering collaboration, accountability, and automation access. Customization is deliberately code-first. Python modules absorb new SIEM rules and alert sources; playbooks orchestrate LLM analysis and downstream actions. Deployment is on-premise, with backend and frontend open for modification. Compared to commercial closed-source SIEM/SOAR suites, ASP trades polish,

Behind the Verdict

The honest question with ASP isn't whether it works — it's whether your team wants to run it. If you already maintain Splunk or ELK and have someone comfortable in Python and YAML, the pitch is compelling: alerts land as cases, an LLM drafts severity/confidence/attack-chain reports, playbooks enrich and act behind approval gates, and closed cases feed a knowledge base instead of evaporating. In practice that means your analysts start each investigation from a populated case rather than a blank screen, which is where most SOC hours actually die. We'd reach for ASP in a few concrete situations. An MSSP that wants multi-tenant SOC capability without per-seat licensing. A blue team with existing Splunk/ELK investment that refuses to ship logs to a vendor cloud. A shop already using Harness Agents that wants them to operate cases and author modules. In each case the code-first customization is a feature, not friction. Where it bites: this is not a plug-and-play product. Splunk and ELK support is real but configured through YAML, and if you want Jira, Slack, or PagerDuty tickets flowing out of a case, budget engineering time — those connectors aren't documented here. There's also no managed option, so the operational burden of upgrades, backups, and auth sits with you. The closest comparison is the commercial SIEM/SOAR bracket, where you pay per seat and get a supported appliance with hundreds of pre-built integrations. ASP flips that: no license cost, no data leaving the network, but you supply the engineering. Against other open-source SOC tooling, its distinguishing move is folding AI investigation and a knowledge-capture loop into the same case workspace as intake and response, rather than leaving them as separate scripts. Version cadence is worth noting — the

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Real-world workflow fit

Concrete scenarios for the personas Agentic Soc Platform actually fits — and what changes day-one when you adopt it.

SOC analyst

On a Monday morning, hundreds of alerts flood in from Splunk. With ASP, you connect Splunk via a YAML module, and the platform automatically groups related alerts into cases, extracts IOCs, and drafts an investigation report for each case. You review the AI's severity and verdicts, then use a playbook to enrich IOCs with reputation data. You approve the recommended actions, and the case is

Outcome: You triage a day's worth of alerts in under an hour, instead of spending all day manually correlating and investigating.

Security engineer

Your team uses ELK and wants to automate incident response. You configure a YAML module to ingest ELK alerts, write a Python module to parse a new log source, and define a playbook that runs an LLM analysis, extracts knowledge, and enriches CMDB data. You set up an approval gate so no action is taken without human sign-off.

Outcome: You deploy a custom automation pipeline that reduces manual enrichment steps by 80%, with full audit trail.

MSSP

You manage security for multiple clients and need to keep each client's data on-premise. You deploy ASP in a dedicated environment per client, configure local/LDAP authentication with role-based access, and use API keys to integrate with your internal orchestration. You use the unified search to query Splunk and ELK from a single interface.

Outcome: You deliver a repeatable, isolated SOC platform to each client without sending data off-premise, and you can automate triage across clients.

Use Cases

Limitations

  • ASP is open-source and self-hosted, so you manage deployment, maintenance, and scaling.
  • Custom SIEM rules and alert sources require Python; frontend tweaks need TypeScript.
  • Supported SIEM integrations are limited to Splunk and ELK via YAML config—there are no pre-built connectors for commercial tools like Jira, Slack, or ServiceNow.
  • The AI investigation depends on your LLM configuration; quality varies.
  • Knowledge extraction and playbooks require setup and may need iteration.

as of 2026-08-29

Verification history

We have re-verified Agentic Soc Platform 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. re-checked, vendor evidence unchanged
  3. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Free to cite with attribution — this page re-verifies continuously.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • You must self-host, so you bear infrastructure costs (servers, storage, networking) and ongoing maintenance labor—no cloud option is provided.
  • The AI features depend on your own LLM configuration, so you pay for LLM API usage or self-hosted model infrastructure separately.
  • There are no per-seat fees, but you may need to invest in training for analysts unfamiliar with Python and YAML to customize modules and playbooks.
  • Integration with tools beyond Splunk and ELK requires custom Python development, which can consume engineering time.

Where the pricing makes sense

The company stage and team size where Agentic Soc Platform's pricing actually pencils out — and where peers do it cheaper.

ASP is free (MIT-licensed), so the cost is your own infrastructure and engineering time. For a self-sufficient team, it undercuts commercial SIEM/SOAR suites like Splunk SOAR or IBM QRadar, which charge per-seat or per-GB. But if you need hands-off managed service, a paid cloud SIEM might be cheaper than your internal DevOps time.

Setup time & first value

How long it actually takes to get something useful out of Agentic Soc Platform — broken out by persona, not the marketing-page minute.

For a security engineer familiar with Python and Docker, initial deployment and connecting Splunk or ELK can take 2-3 days. Writing custom modules and playbooks for the first time might add a week. Analysts can get value immediately once cases start flowing, but full automation setup typically takes 1-2 weeks for a technical team.

Switching to or from Agentic Soc Platform

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From TheHive: Export your cases and alerts as JSON, then write a script to import them into ASP's case workspace via API keys; you can retain your existing LDAP integration.
Migrating out
  • To Splunk SOAR: Export your cases and playbooks (if they are in YAML, translate to Splunk's playbook format) and manually recreate automation in the new platform.

Integrations

SplunkHarness

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Agentic Soc Platform”, and we withheld 6: 6 did not mention Agentic Soc Platform. We are showing none, because we could not prove any of them are about Agentic Soc Platform.

Official links

Featured Head-to-Head Comparisons

Agentic Soc Platform vs Air Ai

If you're a defense organization needing to crush materiel release timelines and unify complex supply chains, Air AI is the purpose-built heavy lifter — backed by huge recent contracts and deep integration with military systems. If you're a SOC team drowning in alerts and want open-source, AI-augmented triage you can run on-prem with full data sovereignty, Agentic Soc Platform gives you a free, extensible foundation. Choose Air for readiness at scale; choose ASP for security operations automation with zero vendor lock-in.

Agentic Soc Platform vs Audioeye

Choose AudioEye if you need fast, enterprise-grade web accessibility compliance with legal support and easy CMS integrations. Pick Agentic SOC Platform if you run a SOC and want a free, customizable, on-premise platform that combines SIEM, SOAR, and knowledge management with AI-augmented investigations. They serve entirely different domains.

Agentic Soc Platform vs Push Security

Choose Push Security if your priority is stopping browser-based attacks (AiTM, ClickFix) and controlling AI tool usage across all browsers without an enterprise browser mandate. Choose Agentic SOC Platform if you need an open-source, on-premise SOC platform that augments analysts with AI-driven investigation drafts and playbooks, especially if you run Splunk/ELK and want full data control.

Agentic Soc Platform vs Sublime Security

Agentic Soc Platform vs Mostly Ai

Mostly AI and Agentic SOC Platform serve completely different domains: synthetic data generation versus security operations. Unless your need is exactly synthetic data for analytics, choose Agentic SOC Platform—it's free, open-source, and offers powerful AI-driven investigation workflows. Mostly AI is enterprise-focused, contact-priced, and requires infrastructure investment, making it only suitable for dedicated data teams with privacy mandates.

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