Your Assessment Engine
Connect any IAM stack. Correlate across platforms. Generate CISO-ready reports. In hours, not weeks.
See observity.ai in your environment.
A 30-minute walkthrough against an environment like yours, so you can tell quickly if observity.ai fits.
Three Steps to a Complete IAM Assessment
Define the problem. Connect your systems. Get a CISO-ready report.
Define
Problem statement, goals, report focus
Connect & Collect
Live data from your IAM stack via MCP
Report
AI-generated assessment, ready to present
Seven Layers Beyond the Report
Any MCP tool can pull data and write a summary. These are the layers that build enterprise reliability — so decisions are well-grounded, auditable, and built to improve over time.
Connector data in. Defensible baseline out.
Connect the IAM stack that matters for the workflow under review. observity.ai analyzes signals across those systems and delivers a structured baseline report in hours, not weeks.
- Live metrics from your enterprise systems via MCP
- Cross-platform gaps surface automatically
- Executive summary, findings, risk scores, roadmap
- v1.0 delivered in hours — not weeks of manual work
Context beyond your connector data.
Reports can be enriched with benchmarks, compliance context, prior accepted findings, and best practices scoped to your team's industry, frameworks, and goals.
- Benchmark context — automation rates, provisioning SLAs, certification norms
- Framework-aware context — SOX, HIPAA, NIST, ISO 27001 where relevant
- Scoped to your environment's industry and frameworks
- Enterprise organization memory can carry accepted report context forward
Risks invisible to any single tool.
observity.ai correlates identity data across your entire stack, surfacing gaps that no single platform can detect on its own.
- Correlates identity records across all connected platforms
- Surfaces cross-platform risks no single tool can see
- Severity-ranked findings auto-classified into the report
- Runs automatically — no separate spreadsheet exercise
Know it's right before you present.
AI validation checks reports for logical consistency, metric grounding, and narrative coherence. Issues surface as clear flags before you circulate the baseline broadly.
- Validation warnings appear directly in the report
- Issues surface as clear flags before the report is shared broadly
- Generate fix drafts, review the changes, then apply them when ready
Chat with any finding.
Dig Deeper opens a chat scoped to the report, finding, or metric you are reviewing. Answers can use report context, connector tool results, and benchmark or compliance research when the question calls for it.
- Scoped chat on any metric or finding
- Answers from report context, connector data, and cited research when available
- Preserve the context needed for stakeholder follow-up
- Conversation persists — pick up where you left off
This finding affects multiple connected systems and exceeds industry benchmarks for acceptable risk thresholds.
One baseline becomes repeatable proof.
Rerun from the accepted baseline with updated connector data. observity.ai detects what changed since the last version, builds the before and after comparison into every rerun, and gives teams a repeatable control-verification workflow.
- Rerun the accepted baseline with updated connector data
- Before/after comparison built into every version
- Turn one-time discovery into repeatable proof of improvement
Bring observity.ai into your IAM workflow.
Request a personalized demo to review your current stack, evidence workflow, and what a real rollout would look like.