Notifications
Clear all
Topic starter
22/07/2026 4:33 pm
TL;DR: Teams comparing CAASM platforms are increasingly looking beyond inventory to relationship context, attack paths, and continuous control assurance, because asset aggregation alone cannot answer whether privileged access, EDR coverage, or encryption are actually in place on live systems, according to JupiterOne. The real question is no longer what you own, but whether your controls work across the assets and relationships that define blast radius.
NHIMG editorial — based on content published by JupiterOne: Top Axonius Alternatives for 2026, comparing six CAASM platforms
Questions worth separating out
Q: How should security teams evaluate CAASM tools beyond asset discovery?
A: They should test whether the platform can show relationships, control status, and blast radius, not just inventory counts.
Q: Why do asset inventories fail to reduce access risk on their own?
A: Asset inventories show what exists, but they do not prove who can use it, how long access has existed, or whether the access is still justified.
Q: What do security teams get wrong about continuous controls monitoring?
A: They often treat it as a compliance report instead of a live verification mechanism.
Practitioner guidance
- Test for relationship-aware exposure queries Ask shortlisted platforms to show which cloud workloads have privileged access to the most sensitive data in a single query, and verify whether the answer changes when identity and code sources are added.
- Validate controls against live asset state Require daily verification that MFA, EDR, and encryption are actually enabled on relevant assets, rather than relying on attestations or static policy records.
- Map blast radius from compromised identities Use a pilot dataset to trace what a compromised identity can reach across cloud, endpoint, and data assets, then compare that to your current access review process.
What's in the full article
JupiterOne's full comparison covers the operational detail this post intentionally leaves for the source:
- Side-by-side platform fit notes for OT/IoT discovery, unmanaged-device scanning, and asset correlation.
- The practical differences in pricing and packaging between CAASM, vulnerability management, and continuous controls monitoring.
- The comparison table details attack-path queries, controls monitoring, and VM inclusion across the six platforms.
- The shortlist guidance shows which environments map best to each platform based on operational need.
👉 Read JupiterOne's 2026 comparison of CAASM platforms and control assurance →
CAASM alternatives in 2026: what practitioners should evaluate?
Explore further
30/07/2026 10:55 pm
Security graph architecture is becoming the more useful CAASM model. The article reflects a broader shift away from object inventories toward relationship-aware security graphs, where assets, identities, and data are evaluated as connected nodes. That approach is especially relevant when blast radius and access paths matter more than raw asset counts. For identity programmes, the lesson is direct: if you cannot model who or what can reach a sensitive system, you do not have usable governance.
A question worth separating out:
Q: Which frameworks are useful for evaluating CAASM and control assurance?
A: NIST CSF and NIST 800-53 are useful for structuring control expectations, while MITRE ATT&CK helps map attack paths and exposure. For identity-heavy environments, the question is whether the platform can support evidence for access and protection outcomes, not just discovery.
👉 Read our full editorial: CAASM is shifting toward control assurance and relationship context
