See your AWS attack surface and the AI moving through it.
JupiterOne gives security teams a relationship-aware map of their AWS estate, including SaaS integrations and AI agents. Query it with JupiterOne AI or J1QL.
AWS Accounts · IAM · S3 · EC2 · GuardDuty · Inspector · Security Hub · Macie · Identity · AI Integrations
Secure your AWS attack surface with live asset intelligence.
Discover every resource
Continuously discover every AWS resource, SaaS integration, and AI agent connected to your data, including unmanaged tools that never passed security review.
Answer at AI speed
Ask which IAM principals can access customer PII S3 buckets. JupiterOne AI answers in seconds; J1QL offers deeper precision on the same graph.
Link it to the business
Tie every AWS resource and AI integration to the controls, policies, and crown-jewel data it touches. Track changes continuously, not through quarterly reviews.
SECURITY TEAMS RUNNING AWS THAT TRUST JUPITERONE
One graph for your entire AWS estate. Three jobs your team can finally finish.
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Multi-account AWS visibility
A continuously updated inventory of every AWS account, region, and resource without deploying a single agent.
How it works
Read-only API ingestion across 80+ AWS services. Discovery is continual, not quarterly.
Why it matters on AWS
Most security teams running on AWS are tracking accounts in a spreadsheet. The spreadsheet was wrong before it was finished. Replace it with a graph that updates itself.
Multi-account AWS visibility
IAM trust analysis & blast radius
Resolve every IAM permission, role assumption, and cross-account trust into the actual paths an attacker — or an over-permissioned AI agent — could walk to your crown-jewel data.
How it works
JupiterOne models IAM policies (managed and inline), assume-role trust, security group rules, and resource policies as typed graph edges. Ask: "show me every principal that can reach customer-data S3 buckets, two hops or fewer."
Why it matters on AWS
AWS gives you the primitives. JupiterOne gives you the answers. Stop reading IAM policy JSON and start asking who can reach what.
IAM trust analysis & blast radius
Findings in business context
Pull GuardDuty alerts, Inspector vulnerabilities, Macie data findings, Security Hub aggregations, and Config rule failures into one graph — correlated to the asset, the owner, the data, and the controls each one touches.
How it works
JupiterOne ingests findings from GuardDuty, Inspector, Macie, Security Hub, CloudWatch, and Config and attaches them to the asset entity in the graph — so a finding is never just a string in a queue, it's a node connected to a workload, a data store, and a control.
Why it matters on AWS
Findings without context are tickets. Findings on the graph are decisions: this Inspector CVE matters because the EC2 instance it lives on holds payment-card data and is reachable from the internet. That's where prioritization actually starts.
Findings in business context
AI moved into your AWS account. We show you what it’s touching.
Every function of your business is connecting AI agents and AI-powered SaaS to your AWS data — Bedrock-hosted models, third-party copilots, embeddings pipelines, scoped IAM roles handed to agents that nobody reviewed.
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Reduce the risks that threaten the business.
Most AI agents are connected without a security review. JupiterOne treats each as a first-class asset, mapping the IAM principals, S3 buckets, and workloads it interacts with.
How it works
- Which AI agents have access to S3 buckets tagged customer-data?
- Which Bedrock model invocations route through IAM roles with broader access than they need?
- Which AI integrations are connected to AWS accounts that aren’t covered by a control framework yet?
Built native to AWS. Open across everything else.
JupiterOne ingests every AWS account, region, and service into a continuously updated graph. No agents, no proprietary collectors just AWS APIs.
80+
AWS Services
200+
Integrations
100%
Always-current
EC2 · IAM · S3 · VPC · RDS · Lambda · ECS · EKS · CloudTrail · CloudWatch · Config · GuardDuty · Inspector · Macie · Security Hub · KMS · Secrets Manager · SNS · SQS · Route 53 · ELB · WAF · Shield · Bedrock · SageMaker
Get up to speed with J1QL — now with AWS-native context.
Ask questions about your AWS environment in plain English and get answers from your live graph. Start with prebuilt queries for cross-account trust, public S3 exposure, IAM blast radius, and GuardDuty findings.
Designed for security teams running on AWS. Priced for the way you actually deploy.
JupiterOne scales to your AWS footprint and priorities, whether you're focused on AI Attack Surface Management, Continuous Controls Monitoring, or Unified Vulnerability Management—without forcing you into fixed pricing tiers.
Available via direct contract or AWS Marketplace private offer. EDP-eligible spend, co-sell programs, and ACE-launched opportunities supported.
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Key resources for JupiterOne on AWS
Data sheets
Video/Blog
Case study
Security at AWS speed.
See every account, every region, every service — and every AI integration connected on top — continuously, in one graph, queryable in plain English.