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Magnitude

Also known as: Magnitude Platforms, Inc.

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Entry priceNot public; direct enterprise sales, terms not disclosed at this early stageFull pricing detail

Autonomous AI workforce for third party risk management that continuously assesses vendors, products, and AI agent dependencies across the supply chain instead of periodic audits.

Magnitude, Magnitude Platforms, Inc. of San Francisco, builds an autonomous AI workforce for third party risk management, replacing the periodic questionnaires and point in time audits of vendor risk programs with agents that assess risk continuously. Founded by Rami Habal, previously a product leader at Abnormal Security and Proofpoint, with a team drawn from Amazon, Abnormal AI, Proofpoint and Pandora, it emerged from stealth in June 2026 with ten million dollars in seed funding led by Ballistic Ventures.

Eight named agents split the work: CISO Staff answers leadership questions across vendors and dependencies in natural language, Intake runs policy driven vendor intake, Autonomous Assessment completes assessments, Continuous Monitoring watches breach disclosures, vulnerabilities and terms of service changes in real time, Nth-Party Monitoring maps the supply chain three to five tiers deep, Vendor Envoy handles vendor communication, Risk Impact makes policy aligned decisions and Risk Remediation tracks fixes to closure.

Every decision cites its source and reasoning, and the system does not claim what it cannot verify. The customer's policies, corrections and fine tuning live in a Program Model inside its own tenancy, and the platform connects to tools such as Jira, Slack and Zapier.

Magnitude is SOC 2 Type II certified and an FS-ISAC member. Its public pages do not document an approval step before agents act, access controls, hosting regions, model providers or a developer API, and it publishes no pricing. For a security or governance team whose vendor and AI agent ecosystem has outgrown periodic reviews, Magnitude is an early but capable option; a small organization with a handful of vendors will likely find periodic questionnaires sufficient for now.

Vendor details

Canonical URL

https://magnitude.ai

Category

Security / SOC agent

Subcategory

Third party risk management

Funding status

Independent, headquartered in San Francisco, founded by Rami Habal, a former product leader at Abnormal Security and Proofpoint, with a founding team drawn from Amazon, Abnormal AI, Proofpoint, and Pandora. Emerged from stealth in June 2026 with ten million dollars in seed funding led by Ballistic Ventures, a venture firm dedicated solely to cybersecurity. As a recent stealth exit it is early stage, with customers reported to be putting the platform into production but limited public detail on scale.

Company status

independent

Use cases & customers

Primary use cases

continuous third party risk managementvendor and supply chain risk assessmentAI agent governance in vendor ecosystemsautonomous risk remediation

Target customers

enterprisefinancial servicessecurity teams

Deployment options

SaaScloud

Integrations

Connects to the systems the team already uses, among them Jira, Slack and Zapier, and names MCP for connecting AI native tools, with no published endpoint, API or SDK. Agents gather and validate evidence across third and Nth party dependencies, correlate emerging vulnerabilities to exposed vendors, products and AI agents, engage vendors and track remediation to closure in line with each enterprise's policies.

In practice

Your third party risk program relies on annual questionnaires, but vendors change and new vulnerabilities appear constantly in between. Magnitude's AI risk agents assess vendors continuously instead of on a periodic audit cycle.

A major vulnerability drops and you have no fast way to know which of your hundreds of vendors and their dependencies are exposed. Magnitude maps exposure across third and Nth party dependencies and prioritizes response at machine speed.

Your vendors are embedding AI agents that themselves become risky dependencies. Magnitude governs those agents continuously as part of your third party risk posture.

Agentic Index coverage score

8.5 / 14 capabilities · 61%

Integrations & Tool Calling Full

Connects to the systems the team already uses, among them Jira, Slack and Zapier, and its agents act: the Vendor Envoy agent engages vendors autonomously and the Risk Remediation agent tracks issues to closure. Zipline and Mailchimp also appear among the integrations, and MCP connects the platform to a customer's Claude workflows or other AI native tools.

SourceMagnitude, magnitude.ai/platformread 2026-10-05

Workflow Orchestration Full

Eight agents split the third party risk lifecycle between them, intake, autonomous assessment, continuous and Nth party monitoring, vendor engagement, risk impact decisioning and remediation, with policy driven intake and decisions. How the handoffs are configured is not shown. Intake triages each vendor by risk tier and routes decision ready vendors onward, Autonomous Assessment collects documents, analyzes controls and scores risk, and Risk Impact turns the findings into a recommendation to approve, condition or reject.

SourceMagnitude, magnitude.ai/platformread 2026-10-05

Knowledge Grounding & RAG Full

Decisions are grounded in the vendor evidence the agents collect and verify, and every decision cites its source and reasoning; the system does not claim what it cannot verify. How the evidence store is indexed is not described. The CISO Staff agent reasons across third and Nth party data to answer leadership questions and build summaries for the board.

SourceMagnitude, magnitude.ai and /platformread 2026-10-05

Human Oversight & Guardrails Partial

Intake and decisions follow the customer's policies, and analysts keep the judgment calls. Vendor Envoy escalates to a person only when human judgment is needed, and Risk Impact recommends approving, conditioning or rejecting a vendor. Magnitude documents no approval step before an assessment, vendor message or remediation goes out.

SourceMagnitude, magnitude.ai/platformread 2026-10-05

Security, Identity & Governance Partial

Magnitude is SOC 2 Type II certified, with a Vanta trust center at trust.magnitude.ai, and is an FS-ISAC member. No public page documents SSO, SCIM or roles. Each customer's data sits in its own tenancy, which keeps data apart but is not an access control.

SourceMagnitude, magnitude.airead 2026-10-05

Observability & Auditability Full

Every decision the agents make cites its source and reasoning, and the vendor engagement agent keeps a complete, auditable communication trail. Remediation becomes tracked, time bound actions ordered by risk severity.

SourceMagnitude, magnitude.ai and /platformread 2026-10-05

Memory & State Persistence Partial

The customer's policies, corrections and fine tuning live in a Program Model inside the customer's own tenancy, which the agents read. Magnitude does not say how long it is kept or how to delete from it.

SourceMagnitude, magnitude.ai/platformread 2026-10-05

Deployment & Data Residency Not documented

Each customer gets an isolated tenancy in Magnitude's cloud, and no hosting region or customer environment option is published. Magnitude says policies, corrections and fine tuning stay inside the customer's environment, but it names no region.

SourceMagnitude, trust.magnitude.ai and magnitude.airead 2026-10-05

Prebuilt Agents, Templates & Packs Full

Eight named agents, each with its own job: CISO Staff, Intake, Autonomous Assessment, Continuous Monitoring, Nth-Party Monitoring, Vendor Envoy, Risk Impact and Risk Remediation. Nth party monitoring maps dependencies four and five tiers deep and surfaces concentration risk, and Magnitude says the agents give an analyst team 10 times its capacity.

SourceMagnitude, magnitude.ai/platformread 2026-10-05

Triggers & Channel Coverage Full

The Continuous Monitoring agent watches breach disclosures, vulnerabilities and terms of service changes in real time and starts work without a person asking, replacing point in time assessments. It runs around the clock and also tracks new AI features in a vendor's products.

SourceMagnitude, magnitude.ai and /platformread 2026-10-05

Model Flexibility & Routing Not documented

Magnitude says the platform runs on frontier AI models but names no provider and offers no model choice. Fine tuning for each customer adjusts Magnitude's own setup rather than letting the customer pick a model, and it stays in the customer's Program Model.

SourceMagnitude, magnitude.ai and /platformread 2026-10-05

APIs, SDKs & MCP Extensibility Partial

Magnitude uses MCP to connect with a customer's existing AI native tools, such as Claude workflows. No endpoint, auth scheme or tool list is published, and no API or SDK is documented.

SourceMagnitude, magnitude.ai and /platformread 2026-10-05

Testing, Debugging & Optimization Partial

The agents verify claims against collected evidence before stating them, and analyst corrections are kept in the Program Model. Magnitude publishes no test cases, scores or checks a customer can run on a change.

SourceMagnitude, magnitude.ai/platformread 2026-10-05

Browser & Computer Use Not documented

No page on magnitude.ai documents an agent driving a browser, desktop or remote computer; agents work through connectors and vendor communication. The similarly named browser testing framework is a different company.

Sourcemagnitude.ai/platformread 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

2026-09-15·Agent capabilityVerified

Magnitude launched the CISO Staff Agent, which lets security leaders query thousands of vendors, products and downstream dependencies in natural language, reasoning across assessments and risk data.

Bears on: Agent capability

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

Pricing

Not public; direct enterprise sales, terms not disclosed at this early stage

not published

Trial available

What is public

No pricing is public. As a recent seed stage stealth exit, Magnitude discloses no rates and sells through direct sales.

Billing mechanics

Not disclosed. Inference, not stated by the vendor: an enterprise subscription scoped to the number of vendors, products and dependencies continuously assessed.

Cost watchouts

Continuous, broad assessment across many vendors and dependencies could scale cost as the ecosystem grows, and early stage products may carry implementation and oversight overhead.

Variable cost rationale

Continuous assessment likely scopes cost to the number of vendors, products, and dependencies monitored, so spend would tend to grow with the size of the third party ecosystem, though no pricing is disclosed.

Additional watchouts

As a very new product, confirm production maturity, false positive rates, and how autonomous remediation is bounded before relying on it, and expect pricing to be bespoke.

Sales call required

Yes, required for paid access

Free / trial

Demo on request; no public free tier

Key ambiguities

No pricing, scale or accuracy metrics are public; Magnitude emerged from stealth in June 2026.

Agentic Index verified 2026-09-28

Alternatives to Magnitude

The closest documented capability profiles to Magnitude 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 / 14Adds documented Deployment & Data Residency
  • Exaforce8.0 / 14Fuller documented coverage on Human Oversight & Guardrails
  • 7AI8.5 / 14Adds documented Deployment & Data Residency
  • Airrived8.5 / 14Adds documented Model Flexibility & Routing
  • Command Zero10.5 / 14Adds documented Deployment & Data Residency
  • Conifers.ai9.5 / 14Adds documented Deployment & Data Residency

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

Head to head

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