How much does Anvilogic cost?

No dollar prices are published. The public docs meter AI work in credits: 1 per Threat Identifier verdict and 3 per Threat Scenario verdict from the Triage Agent, 1 per accepted tuning insight, 3 per generated hunting insight, 1 per MCP server tool call, and on average 20 per Blueprint run, 2 per AI Chat session and 1 per Federated Search session; the example pack is 300 credits a day (109,500 a year). Sold through sales with an ROI calculator.

What are the best alternatives to Anvilogic?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Anvilogic among security and SOC agents are Vanta, Abnormal AI, Astelia, Quantro Security. Each is graded on the same public evidence, and no vendor pays for placement.

Does Anvilogic have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Anvilogic publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: The trust center lists SOC 2 Type 2 and ISO 27001:2022 (2025), and access is controlled by role and by user, with MFA for all users and least privilege internal access. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Anvilogic require human approval before an agent acts?

Full under the Agentic Index verification standard. Anvilogic publishes public evidence of human approval steps and guardrails, so an agent action can be held for review before it executes. Evidence basis: Blueprints carry a "human approval checkpoint wherever your process requires one", and on scheduled automation "human approval gates stay in place wherever you put them", so the customer places approval steps before agent work commits. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Anvilogic support MCP and tool calling?

Partial under the Agentic Index verification standard. Anvilogic publishes some public evidence of tool calling and API or SDK extensibility, but narrower than full Model Context Protocol (MCP) support as defined by the Agentic Index taxonomy. Evidence basis: The Anvilogic MCP Server lets a customer's Claude or internal AI system run tasks on the platform, metered at 1 credit per tool call, but its endpoint, auth scheme and tool list are not published, and no REST API or SDK is documented. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Anvilogic

Q: Who is Anvilogic for?

mature enterprise SOC teams, detection engineers, organizations running SIEM plus data lake architectures

Also known as: Anvilogic Blueprints, Anvilogic Compute

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Security / SOC agentindependentVerified 2026-09-28

Entry priceNot published; enterprise pricing through sales, with AI work metered in creditsFull pricing detail

Agentic security operations platform that works on top of existing SIEMs, data lakes and cloud storage: Onboard, Search, Detect and Investigate agents orchestrated by Blueprints workflows with scheduled runs and human approval checkpoints, grounded in an enterprise security graph, with an MCP server and credit-metered AI work.

Anvilogic is an agentic security operations platform that runs detection, search and investigation on top of the SIEMs, data lakes and cloud storage a customer already has, without moving data into a new repository. Purpose-built agents handle the SOC's routine work: Onboard agents parse and normalize data sources, Search agents query across Splunk, Microsoft Sentinel, Snowflake, Databricks, Amazon S3 and other stores through Federated Search powered by Anvilogic Compute, Detect agents turn threat intelligence into deployed detection logic, and Investigate agents, including the Triage Agent, enrich and score alerts and return a verdict.

Blueprints, generally available since July 2026, is the orchestrator: teams capture their own processes as AI workflows that drive these agents across onboarding, search, detection and investigation, run them on a schedule, share them across the organization, and place human approval checkpoints wherever the process requires one. The agents ground their reasoning in an enterprise security graph of the customer's environment, queried by semantic and keyword search. An Anvilogic MCP server lets a customer's own Claude or internal AI system run tasks on the platform. AI work is metered in credits (per alert verdict, per Blueprint run, per MCP tool call). Anvilogic is hosted on AWS and holds SOC 2 Type 2 and ISO 27001:2022.

Vendor details

Canonical URL

https://www.anvilogic.com

Funding status

Independent; headquartered in Palo Alto and founded in 2019 by CEO Karthik Kannan (formerly head of Splunk's security business) and CTO Deb Banerjee; angel investors named on the about page include Nikesh Arora, Godfrey Sullivan and Dan Warmenhoven. Venture investors appear as logos and funding totals are not stated on the pages read.

Company status

independent

Use cases & customers

Target customers

mature enterprise SOC teamsdetection engineersorganizations running SIEM plus data lake architectures

Deployment options

SaaS hosted on AWSqueries data in place in the customer's SIEMs, data lakes and cloud storage (no data movement)

Integrations

Works across SIEMs (Splunk, Microsoft Sentinel, CrowdStrike NG-SIEM, Elastic), data lakes (Snowflake, Databricks, Azure Data Explorer, Azure Log Analytics, Microsoft Fabric, Amazon Security Lake) and cloud storage (Amazon S3, Azure Blob Storage, Google Cloud Storage), querying data in place through Federated Search and Anvilogic Compute. Connectors include Jira and VirusTotal, teams can bring their own tools into workflows through MCP, and the Anvilogic MCP server exposes platform tasks to a customer's Claude or internal AI system.

In practice

Your security data is split across Splunk, Snowflake, Sentinel and S3 and every tool wants it centralized first. Anvilogic runs detection and federated search where the data already sits, without moving it.

Your best analysts' methods live in their heads and leave when they do. Blueprints lets an analyst author that expertise as automation in natural language and deploy it the same day.

SIEM costs are rising faster than coverage. Decoupling detection from storage lets you keep detection coverage while changing where data is retained, without a rip and replace.

Sources & related URLs

Research sources

https://www.anvilogic.com/ https://www.anvilogic.com/learn/the-anvilogic-approach-to-the-agentic-ai-soc https://www.prweb.com/releases/anvilogic-advances-agentic-secops-with-the-general-availability-of-blueprints-and-a-new-federated-search-experience-powered-by-anvilogic-compute-302834836.html https://www.prweb.com/releases/anvilogic-launches-agentic-workflow-automation-for-ai-soc-302720126.html

Agentic Index coverage score

8.5 / 14 capabilities · 61%

Integrations & Tool Calling	Full
Named SIEMs (Splunk, Microsoft Sentinel, CrowdStrike NG-SIEM, Elastic), data lakes (Snowflake, Databricks, Azure Data Explorer, Azure Log Analytics, Microsoft Fabric, Security Lake) and cloud storage (Amazon S3, Azure Blob, Google Cloud Storage), connectors for Jira and VirusTotal, and teams can bring their own tools into workflows through MCP. Sourceanvilogic.com/agentic-architectureread 2026-09-28
Workflow Orchestration	Full
Blueprints, the orchestrator agent, drives the purpose built Onboard, Search, Detect and Investigate agents across onboarding, search, detection and investigation, and each agent can take a query from an analyst or from another agent and plan its steps. Customers author their own Blueprints. Sourceanvilogic.com/blueprintsread 2026-09-28
Knowledge Grounding & RAG	Full
An enterprise security graph of the customer's environment that agents query with semantic search over embeddings and keyword search to ground their reasoning: a maintained retrieval structure over the customer's estate. Sourceanvilogic.com/learn/the-anvilogic-approach-to-the-agentic-ai-socread 2026-09-28
Human Oversight & Guardrails	Full
Blueprints carry a "human approval checkpoint wherever your process requires one", and on scheduled automation "human approval gates stay in place wherever you put them", so the customer places approval steps before agent work commits. Sourceanvilogic.com/learn/anvilogic-8-0-automate-the-socread 2026-09-28
Security, Identity & Governance	Full
The trust center lists SOC 2 Type 2 and ISO 27001:2022 (2025), and access is controlled by role and by user, with MFA for all users and least privilege internal access. Sourcetrust.anvilogic.comread 2026-09-28
Observability & Auditability	Partial
The Triage Agent records a verdict for each alert (Threat Identifier or Threat Scenario), a record of the decision, but no record of each step or tool call in agent or Blueprint runs is described. MITRE ATT&CK coverage reporting describes the customer's estate rather than the agents. Sourcepublic-docs.anvilogic.com/get-started/ai-operating-system-pricingread 2026-09-28
Memory & State Persistence	Not documented
The security graph maps the customer's environment, and curated detection content is the vendor's; neither is agent memory, and no memory with a scope and lifetime is described. Sourceanvilogic.com/learn/the-anvilogic-approach-to-the-agentic-ai-socread 2026-09-28
Deployment & Data Residency	Partial
Raw security data stays in the customer's own SIEMs, data lakes and cloud storage and is queried in place through Federated Search and Anvilogic Compute, so data at rest stays where the customer holds it; the platform itself is hosted on AWS with no region list or customer-environment option documented. Covered data platforms are not hosting of the product. Sourcetrust.anvilogic.comread 2026-09-28
Prebuilt Agents, Templates & Packs	Full
Prebuilt agents named for their jobs, the Onboard, Search, Detect and Investigate agents and the Triage Agent, each do their own work if another is removed, and Blueprints can be shared across organizations. Sourceanvilogic.comread 2026-09-28
Triggers & Channel Coverage	Full
Blueprints run on a schedule for recurring hunts, onboarding validation and operational tasks "without analyst intervention", and the Triage Agent returns a verdict for each alert as it arrives, so both the clock and incoming alerts start work. Sourceprweb.com/releases/anvilogic-advances-agentic-secops-with-the-general-availability-of-blueprints-and-a-new-federated-search-experience-powered-by-anvilogic-compute-302834836.htmlread 2026-09-28
Model Flexibility & Routing	Not documented
OpenAI is the listed AI subprocessor, and the vendor fine tunes the hosted LLMs; the customer gets no choice of model or routing. Connecting Claude or another assistant through the Anvilogic MCP server is that assistant calling Anvilogic, not a choice of the model Anvilogic runs. Sourcetrust.anvilogic.comread 2026-09-28
APIs, SDKs & MCP Extensibility	Partial
The Anvilogic MCP Server lets a customer's Claude or internal AI system run tasks on the platform, metered at 1 credit per tool call, but its endpoint, auth scheme and tool list are not published, and no REST API or SDK is documented. Sourceanvilogic.com/ai-operating-systemread 2026-09-28
Testing, Debugging & Optimization	Not documented
Tuning and health insights, and validation of detections against breach and attack simulation results, test the SOC's detection coverage rather than the agents. Nothing is offered for evaluating agents or Blueprints. Sourcepublic-docs.anvilogic.com/get-started/ai-operating-system-pricingread 2026-09-28
Browser & Computer Use	Not documented
Agents work through search APIs and connectors to data platforms; no browser or computer use is documented. Sourceanvilogic.com/agentic-architectureread 2026-09-28

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-09-30·IntegrationsVerified

Anvilogic added SentinelOne to Federated Search, so its Search Agent turns a plain language question into SentinelOne queries alongside queries for every other connected data source. Queries run read only through the SentinelOne API, and only the results come back to Anvilogic.

Bears on: Integrations

View source

View all 1 change for Anvilogic →Tracked since Sep 2026 · Verified from public vendor sources

Pricing

Not published; enterprise pricing through sales, with AI work metered in credits

Credits for AI and agent work (per alert verdict, per Blueprint run, per MCP tool call), sold in packs; platform contract scoped by sales.

What is public

No dollar prices. The public docs publish the credit meter for AI work: 1 credit per Threat Identifier verdict and 3 per Threat Scenario verdict (Triage Agent), 1 per accepted tuning insight, 3 per generated hunting insight, 0 per health insight, 1 per MCP server tool call, and averages of 20 per Blueprint run, 2 per AI Chat session and 1 per Federated Search session, with an example pack of 300 credits a day (109,500 a year).

Billing mechanics

Enterprise pricing through sales and an ROI calculator. AI and agent work is metered in credits drawn from a pack; credits meter the work the platform performs, not the data sent.

Cost watchouts

Inference, not stated by the vendor: heavy Blueprint use and high alert volumes draw credits quickly, so the pack size depends on expected triage volume and scheduled runs.

Variable cost rationale

Credits scale with alert volume triaged (1 to 3 per alert), Blueprint runs (about 20 each) and MCP tool calls, drawn from a pack; data volume is not metered.

Additional watchouts

No public dollar pricing, so there is no benchmark before a sales conversation. Inference, not stated by the vendor: the published credit meter lets a buyer estimate usage in credits before asking for a price.

Sales call required

Yes, required for paid access

Free / trial

No free tier or self serve trial; buyers are directed to an ROI calculator and a sales conversation

Commercial notes

The commercial pitch is unusual in that it is framed as a cost offset rather than a cost. Decoupling detection from storage is positioned to lower SIEM spend and avoid vendor lock in, so the platform is meant to be funded by what it saves, and the ROI calculator is the sales artifact for that argument. The Fortune 100 telecommunications example is the concrete version: roughly $1 million in avoided consulting spend on custom pipelines and a backlog of more than a hundred data feeds cleared, with each onboarding taking around fifteen minutes.

Key ambiguities

The dollar price of a credit pack and of the platform contract is not published, and whether packs roll over or overages are billed is not stated.

Missing data

Dollar price per credit or pack, platform contract terms, contract length, and overage or rollover rules.

Agentic Index verified 2026-09-28

Official pricing page Docs

Related vendors

Alternatives to Anvilogic

The closest documented capability profiles to Anvilogic among security and SOC agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Vanta9.5 / 14Fuller documented coverage on Deployment & Data Residency and APIs, SDKs & MCP Extensibility
Abnormal AI9.0 / 14Adds documented Memory & State Persistence and Testing, Debugging & Optimization
Astelia8.0 / 14Fuller documented coverage on Observability & Auditability
Quantro Security7.0 / 14A lighter documented profile than Anvilogic
Sprinto9.0 / 14Fuller documented coverage on Deployment & Data Residency and APIs, SDKs & MCP Extensibility
Tuskira10.0 / 14Adds documented Memory & State Persistence and Model Flexibility & Routing

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Anvilogic with other vendors →Compare all security and SOC agents →See where Anvilogic ranks →

Data confidence: high