Notifications
Clear all
Topic starter
25/06/2026 2:33 pm
TL;DR: Identity governance is moving toward one control plane spanning workforce, workload, and agent access, not separate programmes, according to Saviynt. It positions its identity cloud around governing human and non-human access across applications, data, and business processes, while extending coverage to machine identities, AI agents, JIT access, and MCP tooling.
NHIMG editorial — based on content published by Saviynt: Explore Saviynt's latest developments and identity platform overview
Questions worth separating out
Q: How should security teams govern human and non-human access in one programme?
A: They should build a shared governance model that inventories workforce accounts, service identities, secrets, and AI-related access in one place.
Q: Why do machine identities create problems for traditional IAM reviews?
A: Machine identities often operate through credentials and delegated permissions that persist beyond a human session, so review cycles can miss active risk.
Q: What do teams get wrong about just-in-time access?
A: They often treat JIT as a complete control instead of an expiry mechanism.
Practitioner guidance
- Map all non-human identities to one governance inventory Include service accounts, API keys, tokens, certificates, and AI-related access paths in a single inventory so ownership and revocation are visible across teams.
- Review where standing privilege still exists Identify accounts and machine identities that retain persistent access after task completion, then tie each entitlement to an expiry condition and a removal owner.
- Treat MCP-connected access as governed identity Classify every MCP server or tool connection as an identity boundary with explicit scope, approval, and revocation rather than as a generic integration.
What's in the full article
Saviynt's full news coverage leaves the operational detail for the source:
- How Saviynt positions its product set across identity security posture management, IGA, PAM, and AI agent governance.
- Which use cases the vendor groups under machine identities, zero-trust identity, and continuous compliance.
- How the newsroom frames its platform language for enterprise buyers evaluating identity control consolidation.
- Which adjacent products and solution pages Saviynt links from the newsroom entry point.
👉 Read Saviynt’s overview of identity cloud coverage for human and non-human access →
Saviynt’s identity cloud: what does it mean for IAM teams?
Explore further
View Full Forum → | NHI Foundation Course → | Our Services →
25/06/2026 3:42 pm
Identity governance is moving from account management to execution-path governance. Saviynt’s positioning reflects a broader market shift: the control problem is no longer only who has an account, but what that account or workload can do across business processes. That shift matters because machine identities and AI-enabled access paths create entitlement states that are harder to see than human logins. Practitioners should assume governance now has to follow execution, not just identity records.
A few things that frame the scale:
- Companies are dedicating an average of 32.4% of their security budgets to secrets management and code security, with US organisations leading at 40.8%, according to The State of Secrets in AppSec.
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap.
A question worth separating out:
Q: How should organisations handle AI agent access to tools and data?
A: They should govern AI agent access as a non-human identity boundary, not as a general application integration. That means explicit scope, traceable ownership, bounded permissions, and revocation paths that cover the tools and data sources the agent can reach.
👉 Read our full editorial: Saviynt’s identity cloud and what it means for NHI governance
