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AI governance vs observability vs security
These tools answer different questions. Knowing which question each answers helps you avoid gaps.
| AI observability | AI security | AI governance (GRC) | Verus: decision evidence | |
|---|---|---|---|---|
| Main question | Is the system working? | Is the system under attack? | Do we have the right policies? | Can we prove each decision was right? |
| Main users | Engineers | Security teams | Risk and compliance | Compliance, model risk, audit, regulators |
| When it acts | After the fact | In real time | Before deployment | Before, during and after every decision |
| Output | Traces and dashboards | Alerts and blocks | Registers and assessments | Signed, checkable decision certificates |
Where Verus fits
Observability shows engineers what happened. Security stops attacks. Governance platforms hold your policies. Verus connects them to each decision: it applies your rules before the AI acts and seals the result as proof anyone can check.
Questions to ask any vendor
- Can an auditor check a decision without your engineers or your platform?
- Are rules applied before the AI acts, or only reported after?
- Is every decision recorded, or only a sample?
- Does it work with our existing AI, models and cloud?
Frequently asked questions
Do we need more than one type of tool?
Often, yes. Engineers use observability, security teams use agent security, and risk teams need governance and evidence. They work best together.
Does Verus replace our observability or security tools?
No. Verus sits alongside them and adds the signed decision record that risk, compliance and audit teams need.
Ready to prove your AI?
Tell us which AI workflow you want to launch. We’ll show you how Verus fits.