SecurEnds vs. C1 / ConductorOne

Govern today’s access—and tomorrow’s AI identities—without adopting another control plane.

C1 is building an AI-native identity security platform around humans, agents, non-human identities, just-in-time access, and agentic infrastructure. SecurEnds takes a different approach: solve the access-governance and compliance problems your team owns today, then extend the same governance model to service accounts, non-human identities, AI identities, and emerging AI-agent use cases as those capabilities mature.

Already using Entra, Okta, CyberArk, or other identity tools? Keep them. SecurEnds adds governance where you need it today and gives you a path into non-human and AI identity governance without forcing the entire program into an AI-first identity architecture.
1,000+ appsIngested in SecurEnds production
Start with UARSolve the immediate audit control
Close revocationsDecision through reconciliation
Expand into GRCIT risk · vendor risk · policies · controls
What are you actually buying?
Identity platform—or governance outcomes?
Choose
Access reviews & audit evidence
Applications · reviewers · remediation · reconciliation
SecurEnds
Broader governance
IT Risk · Vendor Risk · Policies · Controls · Findings
SecurEnds
AI and non-human identity governance
Service accounts · AI identities · ownership · reviews · emerging agent governance
SecurEnds path
Extend governance to AI when the use case is real—without rebuilding the rest of your identity program around it.
Why consider SecurEnds?

Because access governance is already a big enough job.

If your team is measured on completing reviews, proving revocations, satisfying auditors, and governing risk, your solution should make those outcomes easier—not require you to adopt a broader identity architecture first.

01

Production application coverage

More than 1,000 applications are already being ingested in SecurEnds production environments across a mix of integration methods.

02

UAR-first adoption

Start with the control creating pressure today: application access reviews, reviewer workflow, remediation, and audit evidence.

03

Close the loop

Keep revoke decisions tied to fulfillment, tickets, supported automation, reconciliation, and proof of closure.

04

True GRC expansion

Extend beyond identity compliance into IT Risk, Vendor Risk, Policy & Controls, assessments, findings, remediation, and evidence.

Two different AI governance strategies

AI governance does not have to mean an AI-first identity architecture.

C1 is positioning around an AI-native control plane for humans, agents, non-human identities, AI tools, MCPs, and infrastructure. SecurEnds is also extending governance into non-human and AI identities, but from a different starting point: ownership, access visibility, reviews, lifecycle controls, evidence, and the governance processes customers already operate.

The SecurEnds path

Solve the control. Keep your architecture choices open.

  • Bring difficult applications into a repeatable review.
  • Give reviewers business-readable context.
  • Track revoke decisions through remediation and reconciliation.
  • Add Access Request, lifecycle, Access Templates, and SoD when the program is ready.
  • Add IdentityWatch, service-account governance, non-human identity, and AI identity governance as those capabilities are released and the use cases become relevant.
  • Expand into IT Risk, Vendor Risk, Policies & Controls for the same governance organization.
The question to ask

How do you want AI governance to fit into the program?

C1 emphasizes an AI-first identity-security architecture spanning:

  • AI-native identity security
  • human, workload, and agent identities
  • just-in-time access
  • dynamic access controls
  • cloud privileged access
  • MCP and agent access
  • agent credentialing and vaulting

SecurEnds’ position is simpler: govern human access well, extend the same controls to non-human and AI identities, and add deeper AI-specific controls as the product evolves—without making AI architecture the prerequisite for solving UAR.

Application coverage

300+ connectors versus 1,000+ applications in production is the wrong comparison.

C1 publicly advertises 300+ prebuilt connectors and says it can create custom connectors for systems with APIs, databases, or CSV output. SecurEnds is already ingesting more than 1,000 applications in production. The practical question is whether your real application estate can be governed reliably and affordably.

Legacy and core systemsCan the product bring the applications your auditors care about into scope?
Database and file-fed applicationsCan access be governed even when the application does not have a modern SaaS connector?
Reviewer contextCan a business manager understand what the entitlement means and make a defensible decision?
RevocationCan “remove access” be followed through the target system and reconciled?
EvidenceCan you show the reviewer, decision, timestamp, remediation, and closure without rebuilding the story for audit?
Operating effortHow much staff time will onboarding, campaign support, remediation, and audit preparation consume?
The GRC difference

“Compliance” is not the same as a GRC program.

C1 has strong identity-compliance capabilities: automated access reviews, identity policies, SoD, access evidence, and risk visibility around identities. SecurEnds can take the same governance buyer beyond identity compliance into the broader work they already manage.

01

User Access Reviews

Certifications, reviewer decisions, remediation, and evidence.

02

Access Governance

Requests, lifecycle, Access Templates, SoD, and fulfillment.

03

Identity & AI Governance

Usage context, service accounts, NHI, AI identities, ownership, reviews, and emerging agent-governance capabilities.

04

IT & Cyber Risk

Assessments, risk register, findings, ownership, and remediation.

05

Vendor & Policy Governance

Third-party risk, policies, controls, evidence, and ongoing compliance work.

The SecurEnds alternative

Your access-review program can expand into AI governance—without becoming an AI-first platform project.

Start with a control the business already needs. Prove value. Clean the access. Then expand with the same governance team into access control, non-human and AI identity governance, IT risk, vendor risk, policies, controls, findings, and evidence.

Start where the pain is

UAR, remediation, and audit evidence—not architecture for architecture’s sake.

Add AI governance without starting over

Extend the same ownership, review, lifecycle, and evidence model from human access into service accounts, non-human identities, and AI identities as SecurEnds capabilities mature.

Expand around governance

Grow into the adjacent problems owned by risk, compliance, audit, security, and GRC.

Put SecurEnds against the real problem

Bring the 10 applications that make your review process painful.

Do not compare AI messaging. Compare the governance work your team will actually operate.

1

Ingest them

Bring connected, legacy, database, file-fed, API, directory, SaaS, and homegrown systems.

2

Run the review

Compare correlation, reviewer context, campaigns, reminders, delegation, and exceptions.

3

Revoke something

Follow the decision through fulfillment, ticketing, supported automation, reconciliation, and closure.

4

Show the evidence

See which approach leaves your audit and governance team with the cleaner operating model.

Compare governance outcomes

Before you redesign identity around AI, see how far a governance-first approach can take you.

Bring your hardest applications and one real access-review campaign. We’ll show the process from ingestion to review, remediation, reconciliation, evidence, and how the same governance model extends toward non-human and AI identities.

SecurEnds vs. C1 / ConductorOne

Compare the governance model—not just the AI headline.

Use your applications, reviewers, remediation process, non-human identities, emerging AI use cases, and the evidence your auditors expect. Then decide which approach fits the governance program you want to operate.