Magnitude
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 is a cybersecurity startup building what it calls the first autonomous AI workforce for third party risk management, replacing the periodic questionnaires and point in time audits that dominate vendor risk programs with AI 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, the San Francisco company emerged from stealth in June 2026 with ten million dollars in seed funding led by Ballistic Ventures, a firm focused solely on cybersecurity. Its pitch is that as vendors embed AI and adversaries attack the supply chain at machine speed, static governance cannot keep up, so defense itself must become autonomous.
The platform deploys AI risk analysts that continuously assess vendors and products across an organization's entire supply chain, from direct relationships out to Nth party dependencies, and that increasingly must govern the AI agents that are themselves becoming third party dependencies. The agents gather and validate evidence, make high confidence risk decisions, and drive remediation, all in line with each enterprise's own policies, and the company says their enterprise specific reasoning improves over time. When a new vulnerability emerges, Magnitude aims to immediately map which vendors, products, agents, and dependencies are exposed, decide which are best positioned to respond, and prioritize action, compressing assessments that once took months into continuous assurance.
Because it acts autonomously across live vendor ecosystems, the value is speed and coverage that a human team cannot match, though as an early stage product the tradeoff is that automated remediation over broad access needs careful human guardrails, and its deployment, model, and developer surfaces are not yet documented. For a security or governance team whose vendor and AI agent ecosystem has outgrown periodic reviews and who wants continuous, autonomous third party risk assessment, Magnitude is an early but credible option; a small organization with a handful of vendors and light risk requirements will likely find a traditional questionnaire based tool 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
Target customers
Deployment options
Integrations
Connects to vendor ecosystems, security and compliance evidence sources, and vulnerability data to continuously gather and validate evidence across third and Nth party dependencies. Correlates emerging vulnerabilities to exposed vendors, products, and AI agents, and drives remediation in line with each enterprise's policies, though specific integration and developer interfaces are not yet publicly documented.
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.
Sources & related URLs
Research sources
Research notes
Added via Crunchbase agentic discovery CSV, enriched full fidelity 2026-07-07. This is Magnitude (magnitude.ai), TPRM cybersecurity, Ballistic Ventures. Do NOT confuse with the separate QA and browser testing tool also named Magnitude. Seed stealth exit June 2026; confidence medium given early stage.
Capability coverage
9.0 / 14 capabilities · 64%
| Integrations & Tool CallingContinuously gathers and validates evidence across vendor ecosystems and vulnerability data spanning direct and Nth party dependencies to act on third party risk, Magnitude docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationOrchestrates the risk lifecycle end to end, from gathering and validating evidence to making decisions, correlating exposure, and driving remediation continuously, Magnitude docs 2026-07-07 | Full |
| Knowledge Grounding & RAGUses enterprise specific reasoning grounded in validated evidence and each organization's own policies to make high confidence risk decisions, Magnitude docs 2026-07-07 | Full |
| Human Oversight & GuardrailsAgents operate in line with each enterprise's policies and can be overridden by humans, but the emphasis is on autonomy and a detailed approval and guardrail framework is not documented, Magnitude docs 2026-07-07 | Partial |
| Security, Identity & GovernanceThe product is itself a security governance system, delivering third and Nth party risk assessment, vendor governance, and defense against supply chain attacks, Magnitude docs 2026-07-07 | Full |
| Observability & AuditabilityContinuously monitors and assesses vendors and products, maps exposure when vulnerabilities emerge, and delivers high confidence, prioritized risk decisions for full ecosystem visibility, Magnitude docs 2026-07-07 | Full |
| Memory & State PersistenceThe company says the agents' enterprise specific reasoning improves over time, implying retained learning, but a distinct persistent memory system is not detailed at this early stage, Magnitude docs 2026-07-07 | Partial |
| Deployment & Data ResidencyDelivered as cloud SaaS, but on premise or explicit customer controlled residency options are not documented for this recent stealth exit, Magnitude docs 2026-07-07 | Partial |
| Prebuilt Agents, Templates & PacksShips a prebuilt autonomous workforce of AI risk analysts for TPRM, but a broader library of agent templates or packs is not documented, Magnitude docs 2026-07-07 | Partial |
| Triggers & Channel CoverageOperates continuously rather than on periodic audit cycles, reacting at machine speed when new vulnerabilities emerge to map and prioritize exposure, Magnitude docs 2026-07-07 | Full |
| Model Flexibility & RoutingRuns on its own agentic AI stack and does not document customer choice of underlying model or routing across external providers, Magnitude docs 2026-07-07 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityMust integrate with vendor ecosystems and evidence sources to function, but a public developer SDK, API, or MCP surface is not documented for this recent stealth exit, Magnitude docs 2026-07-07 | Partial |
| Testing, Debugging & OptimizationValidates gathered evidence to reach high confidence decisions, a form of output validation, but a dedicated agent testing, evaluation, or debugging surface is not documented, Magnitude docs 2026-07-07 | Partial |
| Browser & Computer UseAssesses risk and drives remediation through integrations rather than driving a browser or operating a computer interface, Magnitude docs 2026-07-07 | Unable to verify |
Pricing
Not public; direct enterprise sales, terms not disclosed at this early stage
enterprise subscription presumably scoped to vendor and dependency ecosystem size
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
Presumed enterprise subscription scoped to the number of vendors, products, and dependencies continuously assessed, though not disclosed.
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 given the June 2026 stealth exit.
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