Solutions
Nine problems, one control plane.
Use case 1 of 9 · CISO / Head of IAM
Standing privilege goes to zero. The CISO stops owning a breach that was pre-authorized years ago.
Every large enterprise runs on access that was granted once and never re-decided. ConteXengine works out access at the request, so there is no standing role left to find.
The problem
- Granted once, never re-decidedAdmin keys, roles and tokens issued years ago are still live tonight, with no expiry and no owner watching.
- One tool per identity typeHumans, machines and AI agents are decided in separate tools, and nobody can say which standing keys could reach your most sensitive systems.
What changes
- Decided, not storedAccess is worked out at the moment it happens, not stored in a role that every tool agrees is fine.
- One engine, three identity typesThe same graph and the same signals decide a human, a machine identity and an AI agent, instead of one more JIT tool for one more identity type.
Use case 2 of 9 · CISO / Head of IAM
Every service account gets an owner, a score and an expiry. The “nobody knows what breaks” excuse is gone.
Most estates have more service accounts than people, and most of those have no named owner. ConteXengine discovers them from real evidence, scores them like any other identity, and converts the static key into a just-in-time role.
The problem
- They accumulatedA migration here, a vendor integration there, a script someone wrote on a Friday. Nobody created them on purpose; nobody answers for them now.
- Admin reach, no expiryService accounts with standing Domain Admin rights and passwords that never expire stay live because nobody knows what breaks.
What changes
- Not a bolted-on moduleOne record type, one score, one engine for humans, machines and agents. Ownership, reach and findings feed the same decision.
- Converted, not reportedThe playbook changes what the key can do, and the re-import confirms it. The finding closes.
Use case 3 of 9 · CISO / GRC and audit
“Why was this allowed?” is answered in one click. Audit stops being a six-week project.
When an examiner asks what an identity could reach and why, the honest answer in most enterprises is a six-week reconstruction. ConteXengine records every access decision with its reasons, sealed with the versions in force.
The problem
- No system holds the joinIdentity, data platforms and pipelines each know a piece. Pulling logs from five systems and interviewing three teams produces a narrative nobody can fully verify.
- Logs say what, never whyAttestation happens per policy, not per decision. The evidence exists; it was just never recorded as a decision.
What changes
- Dashboard, rollup and export are the same rowsOne ledger behind every surface, so they always agree.
- A record of why, not a log of whatVerdict, reason, scores, signals and versions on every decision, for humans, machines and AI agents.
Use case 8 of 9 · CISO / GRC and audit / MSSPs and advisors
Identity exposure, ranked and acted on. The CISO hands the board a plan, not a posture report.
A read-only, shadow-mode engagement produces a risk profile of every identity in scope, the problems ranked by blast radius, and a remediation plan. A shared-signals hub then turns findings into actions across your identity providers and applications.
The problem
- Posture without consequenceReports describe the problem and open tickets. Nothing changes what an identity can do tonight.
- Three identity types, three reportsHumans, machines and AI agents are assessed by different tools with different scores.
What changes
- One report, three identity typesHumans, machines and AI agents scored on the same contract.
- Actions, not ticketsSeventeen built-in actions, such as disable, revoke sessions, rotate credential and remove access, run wherever they're supported.
Use case 4 of 9 · Chief AI Officer / CISO
No agent exceeds the human it works for. The Chief AI Officer ships without a security veto.
Agents hand work to agents and tools, several hops deep, with nobody checking what the last hop may do. ConteXengine recomputes effective scope on every call and bounds it by the human the chain works for.
The problem
- Delegation chains are routineAgents calling sub-agents calling tools.
- First-hop checks are a checkboxThe market checks the first call and stops. The chain is the exposure.
What changes
- Past hop oneScope is recomputed beyond the first call: the capability the field and the standards bodies have not solved.
- The graph is the chainNo policy describes the chain. The limit is the person the agent works for, and every hop is checked against it.
Use case 7 of 9 · Chief AI Officer
Every AI agent becomes a governed identity. The Chief AI Officer can say yes to the next hundred.
Each one holds credentials, calls tools and hands work to other agents, yet almost none is an identity anyone governs. ConteXengine discovers every agent, gives it an owner, a score and a known reach, bounds it at runtime and proves every call.
The problem
- Ungoverned by defaultAgents are created faster than anyone registers them, with credentials that never expire.
- Authority by inheritanceAn agent runs with whatever its chain passed down. Nobody computed it.
What changes
- Above every platformSits above agent platforms, copilots and homegrown chains as the authorization call they make.
- One lifecycle, one graphAI agents, humans and machines are decided by the same engine.
Use case 6 of 9 · Security operations / CISO
Containment in seconds, across connected apps. Security operations stops waiting for a token to expire.
A compromise is flagged in one app while the same session keeps working in the other six until the next token refresh. When the evidence says an identity is compromised, ConteXengine ends its access in every connected application, without waiting for each one.
The problem
- Flagged in one appThe guardrail catches the injection where it happened. The user's other sessions keep serving the stale, still-trusted answer.
- A kill switch that isn't an architectureMost are a button on one surface. Recovery is a reset nobody can audit.
What changes
- It falls out of the graphThe engine already knows the agent's full reach across every app; containment doesn't have to be wired per application.
- Without touching the appEnforced at the apps and the vault, not by asking the agent to stop.
Use case 9 of 9 · Chief Data Officer / Chief AI Officer
The data lake finally has an authorization model. The Chief Data Officer can breathe easy.
Who may see the data, and how sensitive it is, are both set at the source, and both are lost the moment data enters a pipeline. ConteXengine gives the lake an authorization model and decides for each person, down to the field.
The problem
- Lost in the pipelineBy the time data reaches the lake and the index, nobody can say who may see which column.
- So everyone can, or nobody canAccess is either open or locked, and both are wrong.
What changes
- Lineage in the verdictThe label set at the source is the label that applies at retrieval. Patent Pending.
- Never inventedAn element no source can map stays dark. The engine never guesses an authorization.
Use case 5 of 9 · Chief AI Officer / Chief Data Officer
Copilots answer per person, per chunk. The CFO’s data never reaches the contractor’s screen.
Content is indexed once, for all askers, so your lowest-cleared contractor and your CFO get the same restricted detail from the same question. ConteXengine decides what each person may retrieve, before anything reaches a copilot.
The problem
- The index doesn't know who's askingContent is chunked once and served to everyone. The leak isn't a misconfiguration; it's how the index was built.
- Retrieval-time filters can't fix admissionUnmapped content fails closed.
What changes
- Live, not scriptedOne difference in what each person may see drives the whole contrast.
- Fails closedThe unmapped element stays dark; it never gets invented.