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Monitor All Identities In All Environments
Permiso inventories all human and non-human identities, assesses exposure risk for those identities, and monitors them for suspicious and malicious activity in your identity providers, cloud service providers and SaaS applications.
Detect identity risk and threats for all of your users in the cloud and on-prem environments to prevent account takeover and reduce identity risk.
Identity Threat Detection and Response
Permiso monitors activity and correlates user behavior across those environments to produce incredibly high-fidelity identity security alerts across AWS, Azure, Okta, M365, and more, significantly improving Mean Time To Detect (MTTD) and Mean Time To Respond (MTTR).
With Permiso you can detect:
- Credential Compromise
- Account Takeover
- Insider Threat
Identity Inventory and Risk Posture
We’ve built the industry’s first universal identity graph to proactively manage all entity identity risk for humans and non-human identities, across all environments, from a single pane of glass.
With Permiso you can:
- Assess your identity attack surface risk
- Remove zombie identities and accounts
- Reduce unnecessary privileges
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Non-Human Identity Security
Permiso monitors all of your keys, tokens, roles, groups and service accounts by inventoring them, and monitoring them for supsicious and malicious behavior
With Permiso you can:
- Inventory all of your NHIs in your identity providers, Iaas, PaaS and SaaS environments
- Quickly identify orphaned, stale or overprivleged NHIs
- Monitor the use of your non-human identities at runtime to detect anomalous behavior
Why Traditional Tools Fail Against Modern Attacks
Security teams have attempted to leverage a combination of existing technologies like SIEM, CNAPP and CWP to try and solve the cloud threat detection problem. These tools weren't built to solve the modern attacks observed today where attackers hop between cloud environments and mask themselves with valid credentials.
Traditional tools have siloed focus (IaaS only), are event driven (noisy and high volume), and lack identity attribution context to expedite investigation time.
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