Top 5 CIEM Tools: Wiz, Orca, Tenable Cloud Security, Sonrai, and Britive Compared

Multi-Cloud Entitlement Visibility

Coverage spans AWS, Azure, GCP, and OCI, plus Kubernetes and major SaaS and data platforms, all collected agentlessly. Wiz normalizes explicit versus effective permissions across these providers so cross-platform access can be reasoned about consistently. A non-human-identity dashboard surfaces risky service accounts, third-party access, and admin-equivalent machine identities. This breadth is one reason Wiz is frequently the default for organizations already standardizing on it for posture and workload protection.

Least-Privilege and Right-Sizing

Wiz analyzes used-versus-granted permissions and auto-generates least-privilege policy recommendations, with access-path visualizations and guided remediation to right-size roles. It highlights inactive admins, unused permissions, and missing MFA. The emphasis is on recommending and guiding fixes inside developer and security workflows rather than automatically enforcing denials.

Identity Risk and Toxic Combinations

Wiz's differentiator is the Security Graph, which joins identities, effective permissions, resources, vulnerabilities, secrets, and network exposure into one model. Instead of flagging an over-privileged service account in isolation, it shows when that account is attached to an internet-exposed workload with an unpatched CVE that can reach crown-jewel data. This lets teams triage the handful of entitlement issues that form real attack paths rather than drowning in thousands of excessive-permission findings. The graph also makes effective-access questions answerable in plain language via the CIEM Explorer.

Multi-Cloud Entitlement Visibility

Orca's CIEM provides full coverage of cloud identities, both human and non-human, across AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, Alibaba Cloud, and Kubernetes, with the platform also reaching container registries and serverless environments. All of this visibility is collected agentlessly through Orca's patented SideScanning technology, which reads cloud configuration and runtime metadata out-of-band without deploying agents or running code in the customer environment. Because every account and identity feeds the same unified data model, entitlements from each provider are normalized into one inventory rather than being siloed per cloud. This gives security teams a single, consistent view of who and what can access which resources across a fragmented multi-cloud estate, and the agentless model means new accounts can be onboarded in minutes.

Least-Privilege and Right-Sizing

Orca operationalizes least privilege through its IAM Policy Optimizer, which compares each identity's granted IAM policies against its actual usage over the previous 90 days and recommends a tightened policy that preserves only the permissions in real use. Orca's own research found that among recently used AWS IAM roles, only about 55% of granted policy permissions were actually exercised, so usage-based right-sizing typically removes a large block of standing privilege without breaking functionality. Layered on top, AI-driven IAM Remediation performs prescriptive analytics to find the fewest policy changes needed for the greatest posture improvement, and for AWS, Orca supports just-in-time access that grants time-bound, role-specific permissions only when needed. The net effect is that recommendations are grounded in observed behavior rather than theoretical modeling, which reduces the false-positive churn that makes right-sizing programs stall.

Identity Risk and Toxic Combinations

Where Orca differentiates is treating entitlement risk not as a standalone hygiene score but as one input to platform-wide attack-path analysis. The CIEM engine flags classic identity risks -- privileged roles with cross-account trust, inactive IAM roles that still hold admin privileges, unattached privileged policies, and internet-exposed assets that carry privileged permissions -- and then, because identity data shares the unified data model with vulnerability, misconfiguration, malware, and sensitive-data findings, Orca correlates them into toxic combinations. Its attack-path engine recognizes when individually low-severity issues chain into a direct route to critical assets, then applies a granular risk score so teams remediate the few paths that actually matter. This context is the core argument for consuming CIEM inside Orca's CNAPP, since an over-permissioned role is scored very differently when it sits on an internet-facing, vulnerable workload than when it does not.

Multi-Cloud Entitlement Visibility

Tenable takes an explicitly identity-first approach, mapping every human and machine identity across AWS, Azure, and GCP to its effective permissions and the access paths those permissions open to critical assets. The platform normalizes entitlements across the three major clouds so over-privilege can be reasoned about consistently rather than per-provider. Because identity analysis is woven into the broader Tenable One exposure model, entitlement findings sit alongside vulnerability and configuration data. This unified view is what lets enterprises see identity as one dimension of overall cloud risk.

Least-Privilege and Right-Sizing

Tenable enforces least privilege at scale through automated and assisted remediation that strips unintended entitlements and fixes the misconfigurations correlated with them. This combination of analysis plus remediation is the heart of the inherited Ermetic strength, and it is well suited to enterprises that need to demonstrably shrink the identity attack surface rather than just report on it. The platform maps each identity to its effective permissions so right-sizing is grounded in real access paths. The result is a measurable reduction in standing privilege.

Identity Risk and Toxic Combinations

Tenable also supports just-in-time access, granting fine-grained, time-limited permissions based on business justification instead of long-standing privileges, which directly targets the standing-access problem that fuels lateral movement. It contextualizes risk by correlating misconfigurations with over-privileged identities to pinpoint the specific attack paths that matter most. Rather than treating identity hygiene as a flat checklist, it prioritizes the chains where excessive permissions plus a misconfiguration plus a reachable sensitive resource create real exposure. Because just-in-time access is native to the same platform doing the entitlement analysis, the what-access-exists and what-access-to-grant-temporarily questions share one data model.

Multi-Cloud Entitlement Visibility

Sonrai extends its identity model across human, machine, and increasingly AI identities on AWS, Azure, and Google Cloud, continuously analyzing real permission usage across all of them. Rather than producing a static inventory, it builds a live picture of which privileges are actually used so unused access can be identified and removed. This usage-driven visibility is the foundation for its enforcement model. The focus is identity and permissions rather than the broad workload-and-vulnerability scope of the CNAPP players.

Least-Privilege and Right-Sizing

Sonrai continuously analyzes real permission usage across all identities and automatically blocks unused privileges using cloud-native, org-level policies, making permissions dynamic and on-demand. Rather than producing a report of over-privileged roles, the Cloud Permissions Firewall applies centralized default-deny guardrails so identities only hold access when actively needed. This is enforcement, not advice, which is the core distinction from visibility-led CIEM. Sonrai cites customer attack-surface reductions of more than 90% from this model.

Identity Risk and Toxic Combinations

By focusing on blocking the unused privileges attackers exploit, Sonrai neutralizes many toxic-combination paths at the permission layer, taking a more preventative posture than detection-led tools. Independent testing reportedly found the Cloud Permissions Firewall blocked 16 of 16 AWS attack paths it tested, which speaks to its effectiveness against real lateral-movement scenarios. Because permissions become on-demand under the firewall model, access is granted dynamically when an identity legitimately needs it and otherwise denied by default, effectively delivering just-in-time behavior as a property of the enforcement engine. Reviewers should validate that the request and approval experience fits their operational model during a pilot.

Multi-Cloud Entitlement Visibility

Britive natively spans AWS, Azure, GCP, and Oracle Cloud, and integrates with identity providers such as Okta and Entra ID to unify access policy across them. It manages tens of millions of identities and emphasizes a single control plane for cross-cloud privileged access. This unified, provider-agnostic model is aimed at organizations facing identity sprawl across many clouds. It is more about consistent access control than the deep posture-graph visualization Wiz and Orca offer.

Least-Privilege and Right-Sizing

Britive's core is dynamic, time-bound access that grants permissions only when needed and automatically revokes them after use, eliminating standing privileges. This zero-standing-privileges model directly attacks the persistent-credential problem that drives most cloud identity breaches. Because it is delivered agentlessly and via API, it can enforce least privilege across multiple clouds without proxies or installed agents. Britive has been recognized in Gartner CIEM reporting and won a 2025 Global InfoSec Award in the cloud PAM category for this approach.

Identity Risk and Toxic Combinations

Britive extends its access model to non-human identities, including AI agents, AI workflows, API keys, and workloads, which are a fast-growing source of unmanaged cloud risk. By eliminating standing privileges for these identities, it removes the dormant over-permissioned accounts that often anchor toxic-combination attack paths. The emphasis is preventative, shrinking what an attacker could ever use, rather than after-the-fact detection. This makes it a strong complement to graph-based identity-risk tools.