See and stop identity-based threats across human users, non-human identities, and AI agents — without replacing your IAM or IdP.
Traditional IAM manages human users. But today's identity surface is much broader — and attackers don't need to "break in." They exploit overprivileged, long-lived, and poorly monitored identities that already have trusted access.
Dormant and orphaned credentials
Projects end, vendors offboard, employees leave, but their credentials remain active and unmonitored
Secrets and OAuth token sprawl
SaaS apps and AI tools connected without security review, creating silent access paths
AI agents acting autonomously
Agents with delegated permissions accessing multiple systems at machine speed, indistinguishable from normal usage
Compromised human users
Account takeover leading to lateral movement through non-human identities and integrations
Dormant and orphaned credentials
Projects end, vendors offboard, employees leave, but their credentials remain active and unmonitored
Secrets and OAuth token sprawl
SaaS apps and AI tools connected without security review, creating silent access paths
AI agents acting autonomously
Agents with delegated permissions accessing multiple systems at machine speed, indistinguishable from normal usage
Compromised human users
Account takeover leading to lateral movement through non-human identities and integrations
IAM and IdPs focus on who can log in. They don't answer: What happens after authentication? Which identities access sensitive data? How far can a breach spread once an identity is abused?
Vorlon doesn't replace your IAM. It complements it — providing behavioral monitoring and threat detection with data-layer context across your entire ecosystem.
Vorlon treats identities as pathways to data, not isolated accounts — with continuous behavioral monitoring that shows not just what an identity can access, but what it actually does and which sensitive data is at risk.
All identities across SaaS apps, IdPs, integrations, and AI tools: human users, service accounts, OAuth tokens, API keys, secrets, bots, and AI agent credentials. See how they connect and which sensitive data they reach.
SSO/MFA posture, permission creep, dormant credentials, orphaned accounts, overprivileged AI agent access. Surface the identities that matter most.
Token misuse, credential abuse, account takeover, insider misuse, AI agent anomalies. Correlate identity behavior with actual sensitive data access — not just login events.
Baseline agent behavior. Detect when agents access data outside their intended scope, connect to unauthorized systems, or exhibit anomalous patterns.
Revoke or restrict access in two clicks. Route actions to IdPs and app owners. Trigger workflows in SIEM, SOAR, and ITSM.
Identity-to-data mappings for SOC 2, ISO 27001, HIPAA, PCI DSS. Continuous monitoring evidence without weeks of manual collection.
Inventory + behavioral monitoring + data-layer context
Dynamic scoring based on actual behavior and sensitive data exposure
Focused on which sensitive data each identity reaches and accesses
Runtime behavioral supervision — what agents actually do
Alert with full context: which identity, which data, blast radius
Remediate across the ecosystem — identities, integrations, and data paths
CISO & VP of IT, ThoughtSpot
CTO, Splitit
SVP Engineering, Dutchie
From deployment to AI detection, here’s what security leaders ask before getting started with Vorlon.
All of them. Human users, service accounts, OAuth apps and tokens, API keys, secrets, bot credentials, and AI agent identities — across your SaaS apps, identity providers, cloud platforms, and AI tools. Vorlon treats every identity as a potential pathway to sensitive data, regardless of type.
IAM and IdPs manage authentication — who can log in. Vorlon monitors what happens after authentication: which identities access sensitive data, how they behave across SaaS apps and integrations, and when that behavior becomes risky. Vorlon complements your IAM; it doesn't replace it.
Non-human identities are any identity that isn't a human user: service accounts, OAuth tokens, API keys, bots, and AI agent credentials. They now represent 77% of enterprise identities. NHI security means discovering, monitoring, and governing these machine identities — which often hold persistent, overprivileged access to sensitive data and operate without human oversight.
AI agents inherit delegated permissions and operate at machine speed — authenticating into SaaS apps, querying data, and triggering APIs continuously. Vorlon discovers all AI agent identities, baselines their behavior, monitors which sensitive data they access, and detects when agents operate outside their intended scope or exhibit anomalous patterns.
ITDR — Identity Threat Detection and Response — detects and responds to identity-based attacks: token misuse, credential abuse, account takeover, insider threats, and AI agent compromise. Traditional ITDR focuses on authentication events. Vorlon extends ITDR across the agentic ecosystem with behavioral monitoring tied to sensitive data context, so you know not just that an identity was compromised, but which data is at risk.
Vorlon continuously monitors identity activity across your ecosystem. Credentials that haven't been used within policy-defined timeframes are flagged as dormant. Credentials associated with offboarded employees, decommissioned projects, or disconnected vendors are identified as orphaned. Both are prioritized by the sensitive data they can still access.
Yes. Vorlon maps all SaaS apps, integrations, AI agents, and credentials an employee has access to. It detects post-termination access — even with backdated HR records — reviews pre-departure activity for anomalies, and generates audit-ready evidence. Lingering access can be revoked in two clicks.
Vorlon discovers all OAuth grants and tokens across your ecosystem — including those created by business users without IT approval. It maps permission scopes, identifies overprivileged or unused tokens, flags tokens connected to sensitive data, and enables instant revocation. Same for API keys and secrets across vaults and cloud environments.
No. Vorlon complements secret management tools (HashiCorp Vault, AWS Secrets Manager, etc.) by providing ecosystem-wide visibility into where secrets are used, which integrations and AI agents depend on them, and whether they're dormant, overprivileged, or exposed. Your vault manages the secrets; Vorlon monitors their behavior.
Every third-party vendor, integration, and AI agent connected to your ecosystem authenticates with non-human identities. Vorlon continuously monitors these third-party credentials — their permissions, behavior, and data access. When a vendor is breached, Vorlon shows blast radius in minutes: which credentials are affected, which data is accessible, and how far the breach can spread.
Vorlon generates audit-ready evidence mapped to SOC 2, ISO 27001, HIPAA, PCI DSS, and GDPR — showing identity-to-data mappings, continuous monitoring evidence, access control documentation, and credential hygiene reports. No weeks of manual evidence gathering.
24 hours: complete identity inventory. 48–72 hours: identity-to-data mappings and behavioral baselines. Week 1: actionable alerts on high-risk identities. Agentless, read-only API connections. No agents, no proxies, no infrastructure changes.
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