Finally get unified visibility into all your cyber assets.
Everything you need in one tool
Inventory
Discover and track assets across your tech stack. Devices, apps, users, code repos, policies, and more.
Security
Uncover and triage asset risks. Identify critical assets and their blast radius for critical. Targeting alerts.
Analysis
Get fast answers on assets, instant reports, and automatic audit evidence.
One platform for unified visibility into your entire attack surface
90M
Cyber Assets Monitored
150%
Cyber Assets Monitored
85%
Optimized operations
See JupiterOne in Action
Continuous, evidence-backed control assurance for security and compliance teams.
Controls as Code
Author controls in J1QL to express your exact technical standard. No vendor templates.
Real-Time Drift
Know when a control fails the moment it happens — with full asset context.
Automated Evidence
Evidence generated from live data automatically. Ready before the auditor asks.
Cross-Framework Mapping
One control definition satisfies SOC 2, ISO, NIST, FedRAMP, and HIPAA simultaneously.
AI-Powered Querying
Ask compliance questions in plain language. J1QL optional, never required.
Audit-Ready Reports
Dashboards, evidence packages, and framework status — always current, always accurate.
Get unified visibility into your entire cloud infrastructure
see all integrations
Proof from teams running leaner and reporting cleaner.
90% faster audit prep
“From a merger/acquisition perspective, JupiterOne was invaluable. As M&A activities in cloud native companies become increasingly popular, there is no better way to identify and tag assets than using a tool like JupiterOne.”
Information Security Officer
Blend
5× asset coverage, no new headcount
“My role is to bring secure-by-design products to market quickly. JupiterOne's asset tracking and compliance automation is core to how I execute on that.”
Cloud Security Engineer
Mercury Financial
60% fewer vulns to triage
“It’s an example of a modern security product company that **actually** solves real customer problems. Asset management is something we security folks waved our hands about for too long. The graph is a security primitive you build your program on.”
CISO
Rippling
60% fewer vulns to triage
"With the cost savings from identifying and de-provisioning orphaned AWS resources and not having to purchase separate tools, we've more than recouped our investment in JupiterOne!"
Manager, DevSecOps
Socotra
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What is AI Attack Surface Management?
AI Attack Surface Management is the AI-aware evolution of attack surface management. It continuously maps every cloud resource, SaaS connection, and AI integration in your environment — as a relationship graph, not a flat inventory — so you can see what AI agents reach, who deployed them, and what compliance controls cover them. Traditional ASM tools scan the perimeter. Asset management platforms produce flat lists. JupiterOne AI Attack Surface Management does both, plus the AI layer, in one graph.
Why “AI Attack Surface Management” and not just “ASM”?
Because the attack surface that matters now isn’t the one your team reviewed last quarter. Every function of the business — engineering, sales, support, finance — has connected AI tools, SaaS platforms, and cloud resources, often without a security review cycle. Traditional ASM was built for the perimeter. AI ASM is built for the inside.
What AI assets does JupiterOne discover?
AI agents, copilots, AI-powered SaaS integrations, hosted LLM endpoints, and the data and identity paths that connect them. We treat every one as a first-class asset in the graph — with relationships to the cloud accounts, SaaS tools, and identities they touch.
How does JupiterOne discover AI integrations?
Through 200+ native integrations and the open JupiterOne Collector. We read APIs, registries, IAM grants, and SaaS configurations the same way we discover cloud and identity assets. No proprietary host agent. No quarterly scan window.
How do I query the graph?
Two ways: ask JupiterOne AI in plain English, or write J1QL for precision. Engineers and analysts use J1QL when they need exactness. CISOs and business leads use JupiterOne AI when they need an answer in seconds. Both run against the same continuously updated graph.
How is this different from asset management or external ASM tools?
External ASM tools only see what’s exposed at the perimeter. Traditional asset management platforms produce flat inventories with no relationship context — and were not built with AI agents in mind. JupiterOne is graph-native: relationships between assets (and AI integrations) are first-class, which is what makes attack-path analysis and AI exposure analysis possible at all.
Who is JupiterOne AI ASM for?
Security teams of 3–15 at Series B through pre-IPO SaaS and fintech companies (200–5,000 employees) running multi-cloud or hybrid environments. Primary buyers are Security Architects and Security Engineers who own the asset inventory problem, plus CISOs who need that asset data to underpin compliance and board reporting.
AI moved in. It brought its attack surface with it.
We show you what it looks like.
See every cloud resource, SaaS connection, and AI integration your business depends on — continuously, in one graph, queryable in plain English.