Infosys vs JupiterOne

About JupiterOne

JupiterOne is an AI Risk Management platform that continuously discovers every digital asset across an environment and maps the relationships between them. JupiterOne gives a view across assets and security data and the connections between them to expose and prioritize hidden risks in cloud, code, identity, and AI. All JupiterOne products use one graph-native model. JupiterOne states that it started with one goal in mind, to simplify security and make it attainable for all individuals and organizations as a basic right.^[1][4][5][9]

JupiterOne describes security teams as juggling findings across cloud, code, container, endpoint, and identity tools. JupiterOne states that most compliance programs prove that policies exist, not that controls are actually working.^[6][7]

JupiterOne connects to existing systems via API and is agent-free. JupiterOne has 200+ integrations that bring visibility into cloud and on-premises assets. JupiterOne integrates with AWS, Azure, Google, Snowflake, Salesforce, Jira, Qualys, Okta, and GitHub, among other security, IT, DevOps, and HR tools. JupiterOne has 200+ native integrations across AWS, Azure, GCP, Okta, GitHub, CrowdStrike, ServiceNow, Snowflake, Slack, and the broader cloud, identity, code, and security ecosystem.^[2][9][12]

JupiterOne Query Language (J1QL) spans every connected source. JupiterOne AI lets users ask questions in plain English. JupiterOne AI translates plain-English questions into J1QL, runs them against the asset graph, and returns the evidence. JupiterOne lets users select queries from a pre-built library or create their own. In JupiterOne, every asset is stored as a node with typed relationship edges to everything it touches. JupiterOne provides pre-built dashboards for important asset data, with widgets based on frequently used queries and built-in and custom alerts.^[7][9][10]

JupiterOne offers Unified Vulnerability Management, which connects to scanners and unifies their findings. JupiterOne unifies, dedupes, and prioritizes findings from all scanners. JupiterOne normalizes and dedupes findings from Tenable, Qualys, Rapid7, AWS Inspector, Snyk, Trivy, and other scanners, and enriches them with asset, identity, and compliance context. JupiterOne scores each finding against asset relationships, crown-jewel proximity and exploitability. JupiterOne lets teams weight CVSS, EPSS, crown-jewel relationships, and public exposure in configurable risk scoring, tuned at query time with J1QL. Every prioritized finding in JupiterOne comes with a Remediation Plan that groups vulnerabilities by common fix and routes them to the right team in Jira. JupiterOne collapses findings that share a root cause, such as the same image, library, or template, into a single unit of work.^[2][6]

JupiterOne AI ASM shows every asset, connection, and exposure in one graph. JupiterOne surfaces every copilot, agent and LLM API, approved and shadow, automatically. JupiterOne maps what each AI tool, identity, and integration can reach in an environment. JupiterOne's graph reveals which assets are missing the controls a team requires, across endpoints, cloud, identity, and code.^[12]

JupiterOne describes Continuous Controls Monitoring as the shift from documentation to evidence and from quarterly audit prep to live cybersecurity signals. JupiterOne CCM continuously evaluates whether controls are actually operating against live data, across every compliance framework. In JupiterOne CCM, users define the organization's controls and their validating control tests, and the tests run continuously against the live asset graph. JupiterOne CCM routes alerts to Slack, Jira, PagerDuty, and ServiceNow. JupiterOne CCM uses a many-to-many control-to-framework mapping, so the same control can satisfy SOC 2, ISO 27001/27002, NIST 800-53, CIS v8, DORA, and internal policies. JupiterOne evaluates technical controls defined as policy-as-code against the live asset graph and collects evidence automatically for SOC 2, ISO 27001, PCI DSS, NIST CSF, and NIST 800-53.^[2][7][13]

JupiterOne ingests the misconfiguration findings that a CSPM tool generates and places them on a graph of every asset, identity, and relationship. JupiterOne uses 200+ native, agent-free integrations to pull in cloud resources, identities, code, endpoints, and existing CSPM and CNAPP findings.^{[2][6][7][8][9][10]}