Anvilogic
Also known as: Anvilogic Blueprints, Anvilogic Compute, Agentic SecOps Platform
Agentic security operations platform that decouples detection from storage, grounds its agents in an enterprise security graph, and lets analysts author automation in natural language through Blueprints across SIEMs and data lakes.
Anvilogic is a Palo Alto based agentic security operations platform founded in 2019 by chief executive Karthik Kannan and Deb Banerjee, with roughly $84 to $85 million raised across four rounds including a $45 million Series C led by Evolution Equity Partners with Foundation Capital. Its architectural bet is decoupling detection from storage: detection engineering, investigation and response run across whichever SIEMs, data lakes and storage services a customer already has, rather than requiring data to be centralised. Technology partnerships with Snowflake, Databricks and Splunk follow from that stance.
The grounding layer is what distinguishes it technically. An enterprise security graph models the attack surface, data feeds and their relationships, and is used specifically to ground language models and reduce hallucinations rather than letting agents reason from raw telemetry. On top sit AI agents for data onboarding, detection engineering and triage, with automated enrichment and severity scoring completed before an analyst opens a case.
Blueprints, launched at RSA in March 2026 and generally available from July, is the capability worth understanding. It lets analysts author automation in natural language, deploy it the same day, and have it execute across data onboarding, detection engineering, threat hunting, investigation and response. The stated intent is to capture how the most experienced analysts work and make those methods repeatable team wide, removing what the company calls the SOAR complexity barrier. A Fortune 100 telecommunications customer reportedly used it to onboard data feeds in around fifteen minutes each, clearing a backlog of more than a hundred feeds and avoiding roughly $1 million in consulting spend on custom pipelines.
Alongside it, a Federated Search experience powered by Anvilogic Compute runs a single query across Splunk, Snowflake, Sentinel, S3 and others without moving the data. Detection is managed as code with MITRE ATT&CK integration for coverage measurement and gap analysis. Pricing is enterprise and sales led, with an ROI calculator rather than public tiers, and independent reviewers note the platform is heavier than smaller teams need.
Vendor details
Canonical URL
https://www.anvilogic.com
Category
Security / SOC agent
Company status
independent
Use cases & customers
Target customers
Deployment options
In practice
Your security data is split across Splunk, Snowflake, Sentinel and S3 and every tool wants it centralised 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
Agentic Index coverage score
9.5 / 14 capabilities · 68%
| Integrations & Tool CallingOperates across Splunk, Snowflake, Sentinel, S3, Databricks and other SIEMs, data lakes and storage services the customer already runs, with strategic technology partnerships with Snowflake, Databricks and Splunk. Federated Search queries all of them from one place. 2026-08-05 | Full |
|---|---|
| Workflow OrchestrationBlueprints execute automation across data onboarding, detection engineering, threat hunting, investigation and response, and an AI operating system builds, executes and maintains agents on the customer's SIEMs, data lakes or storage services. Explicitly aimed at removing the SOAR complexity barrier. 2026-08-05 | Full |
| Knowledge Grounding & RAGAn enterprise security graph models the attack surface, data feeds and their relationships and exists specifically to GROUND LANGUAGE MODELS AND REDUCE HALLUCINATIONS, supported by a library of curated detection content battle tested in production. Naming hallucination reduction as the purpose of the grounding layer is unusually explicit. 2026-08-05 | Full |
| Human Oversight & GuardrailsThe design keeps analysts central: triage, enrichment and scoring complete before an analyst opens the case, and Blueprints encode experienced analysts' own methods rather than replacing their judgement. But no approval gates, confidence thresholds or configurable autonomy boundary is documented. 2026-08-05 | Partial |
| Security, Identity & GovernanceA dedicated trust and SOC 2 search returned NO certification list, trust centre or compliance statement, despite the company selling security operations software to enterprise finance, technology and healthcare customers. The decoupled architecture is itself a security property since customer data is not centralised into the vendor. Graded partial on retrieved evidence only and flagged: this is the third instance of security vendors documenting their own posture poorly, after conveyor and wolfia, both of which proved to be undergrades. 2026-08-05 | Partial |
| Observability & AuditabilityMITRE ATT&CK integration measures detection programme coverage and performs gap analysis, and detection as code implies version controlled change history, but no audit trail of agent actions or investigation level decision transparency is documented in the way command-zero documents its shared auditable record. 2026-08-05 | Partial |
| Memory & State PersistenceThe enterprise security graph is a persistent, continuously maintained model of the customer environment rather than per query context, and agents are built on a library of workflows and curated content accumulated since founding, so knowledge compounds across investigations. 2026-08-05 | Full |
| Deployment & Data ResidencyDetection is decoupled from storage and agents execute on the customer's existing SIEMs, data lakes and storage services, with Federated Search running a single query across Splunk, Snowflake, Sentinel and S3 WITHOUT MOVING THE DATA. Security data never centralises into the vendor, which is the same architectural class as command-zero's federated read only model. 2026-08-05 | Full |
| Prebuilt Agents, Templates & PacksShips prebuilt agents for onboarding, detection engineering and triage plus a library of workflows and curated detection content battle tested across enterprise production environments, with MITRE ATT&CK mapped use cases and Blueprints as reusable authored workflows. 2026-08-05 | Full |
| Triggers & Channel CoverageAgents act on incoming telemetry and alerts across every connected platform, performing automated triage, enrichment and severity scoring before an analyst opens the case, with Blueprints workflows executing on defined conditions across the SOC lifecycle. 2026-08-05 | Full |
| Model Flexibility & RoutingLanguage models are grounded by the enterprise security graph and a set of AI and ML techniques is referenced, but no model list, routing policy, customer facing selection or bring your own key capability is documented. 2026-08-05 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityBlueprints is genuine user level extensibility, letting analysts author and deploy new automation in natural language the same day without specialised engineers writing code, and detection as code supports custom logic, but no public API, SDK or MCP surface is documented. 2026-08-05 | Partial |
| Testing, Debugging & OptimizationSecurity teams can build, test and deploy detection logic with AI driven recommendations for creating and tuning detections, and MITRE ATT&CK gap analysis measures programme progress, but no evaluation harness or regression testing for agent behaviour itself is documented. 2026-08-05 | Partial |
| Browser & Computer UseNo browser control or computer use capability. Agents query and act on security data platforms through connectors and federated queries rather than by operating interfaces. 2026-08-05 | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify 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
Pricing
Not published; enterprise pricing scoped to data strategy, environment and deployment
not disclosed; scoped to data strategy, environment and deployment
What is public
Nothing on price. Architecture, capability and customer outcome detail are published extensively through releases and technical content.
Billing mechanics
Enterprise pricing with no public plan tiers. The company directs buyers to an ROI calculator and a sales process, with cost described as custom based on data strategy, environment and deployment scope.
Cost watchouts
Independent reviewers note the platform is heavier than smaller teams need, so the real cost includes the detection engineering capability required to exploit it
Variable cost rationale
With no disclosed unit the exposure cannot be modelled, though the architecture deliberately avoids charging for data centralisation, which is the usual cost escalator in this category, and the stated value case is reducing SIEM spend rather than adding to it.
Additional watchouts
Sales led with no public pricing means no ability to benchmark before engaging. Independent review scores the platform well but flags that the feature set is heavier than smaller teams need, and it suits mature SOC programmes with dedicated detection engineers rather than organisations needing basic monitoring. Verify the vendor's own security certifications during procurement, since no trust documentation surfaced in research.
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
No rate, tier or billing unit is published, and the vendor routes buyers to an ROI calculator rather than a price. Whether cost scales with data volume, detections, seats or connected platforms is undisclosed, which matters given the architecture spans multiple data platforms.
Missing data
Every commercial term: rates, billing unit, contract length, and whether Blueprints and Federated Search carry separate cost.
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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.
- Abnormal AI9.0 / 14Fuller documented coverage on Observability & Auditability
- Crogl10.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Observability & Auditability
- Darktrace9.0 / 14Fuller documented coverage on Observability & Auditability
- Kai10.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Security, Identity & Governance
- ReliaQuest10.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Security, Identity & Governance
- Simbian9.5 / 14Fuller documented coverage on Security, Identity & Governance and Testing, Debugging & Optimization
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded