Agentic Soc Platform vs Mostly AI

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

Analysis reviewed Live tool data as of 2026-09-14
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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

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.

Agentic Soc Platform
Agentic Soc Platform

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

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Mostly AI
Mostly AI

Enterprise synthetic data platform for privacy-safe analytics and AI data access

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Pricing
Free
Contact Sales
Plans
Popularity
5 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
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
Synthetic data generation via TabularARGN model
Agentic data science for automated training and sampling
Natural-language AI Assistant with Python execution
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Mock data generation with relational coherence
Simulated data for edge-case and what-if scenarios
Dialogue-based workflow simplification for synthetic data generation
Open-source Synthetic Data SDK under Apache v2
Kubernetes or Red Hat OpenShift deployment
REST API and Python Client
Connectors for Databricks, AWS, Snowflake, BigQuery, Azure
Real-time data access from production systems
Conditional simulation and seeded generation
Integrations
Splunk
Harness
Databricks
AWS
Snowflake
BigQuery
Azure
Kubernetes
OpenShift

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 Sep 9, 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

Agentic Soc Platform vs Mostly AI: which should you choose?

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.

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