Agentic Soc Platform vs Mostly AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-17
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At a glance

DimensionAgentic Soc PlatformMostly AI
PricingFree (MIT license)Contact (custom quote)
Primary Use CaseAI-augmented SOC operations (SIEM/SOAR)Synthetic data generation & privacy-safe analytics
DeploymentOn-prem (no data leaves network)On-prem (Kubernetes/OpenShift), cloud connectors
Key DifferentiatorUnified AI investigation drafts + playbook automation + knowledge loopTabularARGN model + agentic data science + LLM assistant
IntegrationsSplunk, ELK (via YAML), Harness Agent, MCPDatabricks, AWS, Snowflake, BigQuery, Azure, GCP, etc.
Best ForSOC analysts handling high alert volumesData teams needing high-fidelity synthetic data for ML
Agentic Soc Platform
Agentic Soc Platform

Self-hosted Agentic SOC platform that turns SIEM alert floods into AI-investigated cases with playbooks.

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Mostly AI
Mostly AI

Generate privacy-safe synthetic data with MOSTLY AI's Apache v2 SDK and TabularARGN engine.

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Pricing
Free
Contact Sales
Plans
—
—
Popularity
11 views
7.3k views
Skill Level
Advanced
Beginner-friendly
API Available
Platforms
WebCLI
WebAPI
Categories
🚨 Threat Detection & SOC
🏷️ Data Labeling & Training Data📊 Data & Analytics🔒 Security & Privacy
Features
MIT-licensed, self-hosted on-premise deployment via single-host Docker Compose
SIEM alert intake from Splunk, ELK, or generic webhooks through YAML config
AI investigation reports with severity, confidence, impact, priority, and verdicts
Attack chain reconstruction and remediation guidance per case
Playbooks running LLM investigation with human approval gates
Case Relationships: Related, Duplicate of, Parent of, with 500-character notes
Custom Variables tab with six managed types, including protected secret values
Worker Health heartbeats across five background workers with an admin Workers page
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 searchable security knowledge base
Unified search across Splunk, ELK, and index actions via one YAML-configured interface
Harness Agent integration through asp-cli and Skills for case, log, and playbook operations
Playbook run duration tracking with structured execution messages and interruption remarks
Local/LDAP login, roles, API keys, Inbox notifications, and an audit log
Privacy-safe synthetic tabular and textual data generation via TabularARGN
Apache v2 open-source Synthetic Data SDK, installed with pip install mostlyai
Multi-table synthesis preserving referential integrity across linked tables
Time-series and events data synthesis for relational and sequential datasets
Built-in differential privacy with temperature control for utility tuning
AI Assistant writes and runs Python code from natural-language prompts
Dialogue-based interface turning synthesis workflows into conversational steps (Nov 2025)
Mock data generation with relational coherence across linked tables (Oct 2025)
Simulated data for edge cases, what-if scenarios, and algorithm stress testing
Real-World Data mode surfaces insights from live systems like Databricks
100x faster generator training with automated training and sampling
Quality reports on trained generators plus conditional and seeded generation
Generate up to one million synthetic samples locally from a trained generator
Export trained generators to a file and upload to the platform for sharing
REST API and Python client for programmatic platform access
Integrations
Splunk
Harness
Databricks
Snowflake
Google BigQuery
Azure Blob Storage
Google Cloud Storage
AWS S3
MariaDB
Microsoft SQL Server
MySQL
Oracle Database
PostgreSQL
Apache Hive

What real users say: Agentic Soc Platform vs Mostly AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Agentic Soc Platform

9 mentions across 2 sources · 30% positive — critical (averaged across 2 sources)

GitHub, Lemmy

What users praise

  • • 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.

What frustrates them

  • • 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.

Researched Jul 31, 2026

Mostly AI

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Mostly AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Enterprise data team needing synthetic data for ML training
    Pick: Mostly AI

    Mostly AI's high-fidelity multi-table synthesis, differential privacy, and integrations with major data platforms meet enterprise requirements for privacy-safe analytics.

  • SOC analyst overwhelmed by alert volumes
    Pick: Agentic Soc Platform

    ASP's AI investigation drafts, playbook automation, and knowledge loop directly address triage efficiency and knowledge reuse.

  • Solo developer needing mock data for testing
    Pick: Mostly AI

    Mostly AI's open-source SDK and mock data generation are well-suited for local development, though the platform is enterprise-oriented.

  • MSSP requiring on-premise SOC without recurring costs
    Pick: Agentic Soc Platform

    ASP's free, on-prem deployment with role-based access and audit logging fits MSSP needs without licensing fees.

  • Data analyst wanting natural-language data insights
    Pick: Mostly AI

    Mostly AI's AI Assistant generates Python code on live data, enabling natural-language querying for analysts.

Frequently Asked Questions

Can Mostly AI be used for real-time data access?

No, Mostly AI focuses on synthetic data generation and does not support strict real-time data access without a synthetic layer.

Does Agentic SOC Platform require cloud hosting?

No, it is designed for on-premise deployment with no data leaving the network, though it can integrate with cloud data sources via webhooks.

Which tool offers a free tier?

Agentic SOC Platform is entirely free (MIT license). Mostly AI has no free tier; pricing is by contact.

Can I customize investigation workflows in ASP?

Yes, ASP provides a Python module system for custom SIEM rules, alert sources, and Skills for integration with Harness Agents.

Does Mostly AI support time-series data?

Yes, it explicitly supports time-series synthesis and data rebalancing.

What integrations does ASP have?

ASP integrates with Splunk and ELK via YAML-configured webhooks, and supports Harness Agent and MCP (Model Context Protocol).

Is there any setup fee for ASP?

No, ASP is free and open-source; you only incur your own hosting costs.

Can Mostly AI handle multi-table databases?

Yes, it supports multi-table synthesis with referential integrity.

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Last reviewed: July 31, 2026