Transformation & modernization
Baseline the system before migration or modernization; verify behavior, dependencies, data, and service outcomes through the transition; prove the new state matches what the business requires.
Every dashboard says green. Nobody can prove the restore works, the failover fits, or the access is actually closed. Panaptico continuously verifies that critical systems, dependencies, recovery paths, and controls work as intended—with evidence behind every result.
Identity
Cloud
Security
Data Platforms
Networking
Use cases
Baseline the system before migration or modernization; verify behavior, dependencies, data, and service outcomes through the transition; prove the new state matches what the business requires.
Continuously identify configuration drift, missing coverage, fragile dependencies, and abnormal behavior. Prove critical systems remain inside their declared operating conditions.
Expose exhausted headroom, retry amplification, hidden single points of failure, and dependencies that looked redundant but were not—before they become outages.
Prove readiness before peak season, launches, audits, or major change. Run evidence-backed checks on cadence and make every unknown or stale dependency visible.
Verify backup evidence, replication health, restore-path readiness, failover capacity, and the full dependency chain supporting each business-critical capability.
Prove controls continue to operate between reviews. Every conclusion includes scope, coverage, freshness, history, and inspectable evidence—not another attestation.
Operating priorities
Verify backup evidence, replication health, restore-path freshness, failover capacity, and the dependencies behind recovery.
Explore recovery assuranceTrack the resources expected in scope, compare live provider state with declared targets, and keep missing coverage or stale evidence visible.
Explore System SensorSee exhausted headroom, retry amplification, fragile dependencies, and paths that looked redundant but are not.
See system qualityKeep each conclusion tied to its evaluated scope, target condition, coverage, freshness, definition, evidence, and full state history.
See Signal TrackingBaseline the system before migration or modernization, then compare behavior, dependencies, data, and service outcomes through the transition.
Explore modernizationVerify the configuration, coverage, relationships, and evidence that define a healthy system. Tailscale is one example: devices, identities, ACLs, tags, routes, subnet routers, exit nodes, and key freshness all evaluated together.
See system-quality assuranceRecovery assurance
billing-db-prod01 · tier-1
2 gaps8 of 8 production databases reported inside the 24h window
Standby within declared RPO of 30 seconds
Last successful restore test exceeds the 30-day freshness window
Standby sizing has no current evidence — treated as Unknown
41 days
since the last successful restore proof
8 / 8
backups inside the 24h window
How it works
Define what must be true. Panaptico maps the scope, observes live evidence, verifies each condition, and keeps the result trustworthy over time.
Describe how the system must behave, who or what it applies to, what must never happen, and how current the proof needs to be.
Read the documentationOrganization initiative
Billing platform recovery assurance
Definition · v1Declared outcome
The billing platform can be restored within its declared RPO — with restore proof never older than 30 days.
Required conditions
8
production databases in scope
30d
restore-proof freshness window
Datasets
Restricted apps, approved AMIs, the HR roster — the targets that never live in a provider API. Datasets make them first-class verification inputs: uploaded once, imported live from another workspace, or maintained by an agent on a cadence.
Dataset · Upload
restricted-apps
v3 · 214 rowsrestricted-apps.csv
uploaded Aug 12 · replaces v2 · history kept
restricted-apps.csv
214 rows · versioned
Upload structured or unstructured data — banned apps, approved vendors, gold AMIs. Add a field that evaluates live resources against it: if the app is on the list, it's Banned. The file becomes a tracked, versioned input — not a spreadsheet someone forgets.
Signals & Initiatives
A Signal is versioned, deterministic logic applied to live evidence — inputs, conditions, coverage, and an output contract. An Initiative composes those conditions across systems into one continuously verified objective. Every verdict traces from objective → Signal → condition → provider evidence.
Versioned logic turns provider evidence into an operational verdict — with the definition, inputs, coverage, and history attached to every result.
Signal Tracking
cve_remediation_priority
active · v328%
Posture
251
Checks
100%
Coverage
100%
Stability
v3
versioned definition · v1 → v3 history kept
A declared objective evaluated across systems and populations — attainment, gaps, and unknowns stay current on every reconciliation, not at review time.
Organization initiative
System quality & assurance
6 / 7 hold6 / 7
conditions currently hold
CVE remediation
condition off target · SLA breached
System Sensor, Signals, Identity Links, the Atlas, Probes, Initiatives, Work Items, and Routing aren’t modules glued together — they’re one system speaking one language. The proof is the product.
Always-on sensors read the live estate field by field — every account, device, policy, and config, current state against declared target. The moment reality moves, the model knows.
Raw telemetry becomes business meaning — “risky user,” “unmanaged device,” “backup safety margin.” Every signal is scored continuously against your thresholds, with the full history of every drift and every recovery.
Okta's user, Intune's device, and Cloudflare's seat resolve to one operator. Populations like Japan Office or Main Admin Users become named, verifiable scopes — not accidental collections of rows.
The live map of everything connected — entities, relationships, dependencies, and the ghosts nobody inventoried. It answers what legacy CMDBs never could: what's really out there, and what breaks if it moves.
Attempt the things that must work: the restore, the failover, the sign-in path. Explicitly enabled, scoped, and evidenced — and missing proof is itself an alarm.
Declared intent as a living program — USB Exfiltration Prevention, Zero Trust by office — scored against the live estate on every poll, with gaps, exceptions, and evidence in one place. What executives fund and boards review.
Every gap becomes a ticket with an owner. Every fix is re-verified automatically — the loop closes when reality matches intent, and stays closed because the check never stops.
When reality slips, something happens. A risky login gets a harder path, a non-compliant device lands in quarantine, a failing deploy rolls back. Your existing tools enforce — the ledger decides when. And the routing itself is verified.
Panaptico compares live system state with the conditions your organization requires, keeps missing coverage and stale evidence visible, and preserves the proof behind every conclusion.
Direct answers about scope, access, evidence, deployment, and how Panaptico fits into the systems already in place.
Panaptico compares observed state from connected systems with conditions your organization declares. A result can apply to a field, resource, population, system, or Initiative. Every result retains its scope, coverage, freshness, definition, history, and supporting evidence.
Monitoring shows that a metric moved or an event occurred. Panaptico evaluates whether the resources and conditions your organization expects still satisfy their declared targets. Monitoring data can become evidence inside Panaptico; it is not something Panaptico needs to replace.
A CMDB records inventory. A scanner applies vendor-defined findings or benchmarks. Panaptico continuously evaluates live provider state against organization-specific targets, preserves Unknown and incomplete coverage, and keeps the evidence and change history behind each verdict.
An agent can retrieve a point-in-time answer. It does not automatically maintain the expected population, persistent target, evidence freshness, coverage denominator, versioned evaluation logic, and history across systems. Panaptico maintains that verification contract so humans and agents can rely on the same answer.
Verification starts with scoped observation. Permission to read evidence is not treated as permission to mutate a provider. Any execution or write path, where enabled, is separately authorized and explicit rather than implied by the connection.
The result becomes Unknown or Unobserved. It does not silently inherit the last good value and it never becomes a manufactured pass. The missing scope and evidence remain visible until the system can evaluate them again.
No. A team can begin with one load-bearing system, one resource population, or one operating condition that it cannot afford to misunderstand. The same model then expands through additional categories, Signals, systems, and cross-system Initiatives.
Tracked fields define how a provider value is acquired and the condition that value must satisfy. Each reconciliation evaluates the observed value against that target and records whether it is at target, off target, observed without a target, or unknown—with history for every transition.
Access is scoped to the APIs, resources, and evidence required by the connected system and the conditions being verified. Missing permissions stay visible as missing coverage or Unknown rather than being hidden behind a green status.
Panaptico is designed around inspectable evidence and customer-controlled data architecture. Deployment and residency requirements are handled with the customer, while every result remains traceable to its source, timestamp, freshness, and definition version.
Continuously verify the systems, changes, and controls your business depends on.