Orchid Security Introduces Continuous Identity Observability for Enterprise Applications

Orchid Security has introduced a new approach to discovering, analyzing, and governing identity usage beyond traditional IAM controls, addressing the challenge of identity logic moving into application code and operating outside the visibility of IAM, PAM, and IGA. This innovative approach provides continuous identity observability across applications, enabling organizations to uncover the invisible layer of identity, known as Identity Dark Matter.

Why This Matters

Traditional identity tools rely on configuration data and policy models, which do not work for custom-built applications, legacy authentication logic, embedded credentials and secrets, non-human identities, and access paths that bypass identity providers. As a result, teams are left reconstructing identity behavior during audits or incident response, which does not scale and can lead to significant security risks and costs.

Key Insights

Orchid Security’s platform follows a four-stage operational model: Discover, Analyze, Orchestrate, and Audit, providing continuous identity observability across applications.
The platform discovers applications and their identity implementations, analyzes identity usage in context, and enables teams to take action and maintain continuous evidence of identity control.
Orchid Security integrates with existing IAM, PAM, and security workflows to support remediation efforts, enabling teams to prioritize identity risks by impact and track remediation progress over time.

Working Example

# Example of how Orchid Security's platform can be used to discover and analyze identity usage
import requests

# Define the API endpoint and credentials
api_endpoint = "https://example.com/orchid-api"
username = "example_username"
password = "example_password"

# Authenticate and obtain an access token
response = requests.post(api_endpoint + "/authenticate", auth=(username, password))
access_token = response.json()["access_token"]

# Use the access token to discover applications and their identity implementations
response = requests.get(api_endpoint + "/discover", headers={"Authorization": "Bearer " + access_token})
applications = response.json()["applications"]

# Analyze identity usage in context
for application in applications:
    response = requests.get(api_endpoint + "/analyze", params={"application_id": application["id"]}, headers={"Authorization": "Bearer " + access_token})
    identity_usage = response.json()["identity_usage"]
    print("Application:", application["name"])
    print("Identity Usage:", identity_usage)

Practical Applications

Use Case: Organizations using Orchid Security can gain improved visibility into application-level identity usage, reduced exposure from unmanaged access paths, faster audit preparation, and clear accountability for identity risk.
Pitfall: Failing to address Identity Dark Matter can lead to significant security risks and costs, as well as compliance issues and reputational damage.

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Orchid Security Introduces Continuous Identity Observability for Enterprise Applications