r/CyberIdentity_

We are a mid-sized organization in the banking and financial sector looking to implement a PAM solution for securing privileged access and meeting compliance requirements. Previously we have evaluated solutions including delinea, miniorange, manageengine, and jump cloud.

Looking for feedback from anyone who has used or is currently using these platforms - especially regarding security, reporting, integrations, support, and overall experience.

Trying to understand something around Windows logon MFA.

We already use Windows Hello for Business and most cloud services are protected with MFA. Users can log in with biometrics/PIN just fine, but they still have the option to fall back to their password at Windows logon and that doesn’t trigger any additional verification.

From a security perspective, that feels like a gap. If someone gets the password (or a device is stolen/shared), the login still succeeds without another factor.

For those running Entra/Intune environments:

• Are you disabling password sign-in entirely?
• Enforcing passwordless/WHfB only?
• Using smart cards, security keys, Duo, or another MFA for Windows logon approach?

Curious how others are handling MFA at the actual Windows login layer vs just protecting cloud apps/services.

The era of the "Human-in-the-loop" is shrinking. We are moving toward a world of autonomous AI Agents that execute transactions, modify cloud infrastructure, and access sensitive databases on our behalf.

However, our current security models are lagging. We need a specialized approach to AI Agent Identity and Access Management (IAM). Standard IAM frameworks built for human usernames and passwords simply cannot handle autonomous entities that scale to 1,000 instances in seconds.

The Pillars of a Robust AI Agent IAM Strategy:

• The Identity Shift: We must move beyond "bots" and "service accounts" toward a formal framework for non-human identity management (NHI). Every agent needs a verifiable identity that is decoupled from human credentials.
• Proof of Origin: Implementing secure workload identity for AI agents is non-negotiable. We need attestation-based identities (like SPIFFE) where identity is issued based on the software’s provenance and environment.
• Granular Control: To prevent data exfiltration via prompt injection, we must enforce least privilege AI agents. If an agent only needs one S3 bucket, it shouldn't have the keys to the kingdom.
• Modern Handshakes: Move away from static API keys. AI agent authentication methods must evolve to include mTLS, short-lived ephemeral tokens, and hardware-backed attestation.
• Total Governance: From automated provisioning to secure decommissioning, AI agent lifecycle management must be a core part of the security workflow. Orphaned agents are the new "Shadow IT."

Let’s Discuss:

1. Are you seeing "Service Account bloat" from new AI tools in your environment?
2. How are you handling the implementation of permissions for agents with non-deterministic behavior?
3. What’s the biggest hurdle you face when trying to troubleshoot a failed authentication for a headless agent?

The "Service Account" band-aid isn't going to hold much longer. Let’s hear how you’re securing the next generation of autonomous workflows.

Deep Dive Resources:

• Technical Guide: Implementing IAM for AI Agents
• Solution Overview: Secure AI Agent Authentication & Governance