Wiz shows you what's exposed. CloudThinker's Oliver and Cyber take those findings and close them — autonomously, under your team's policy. Each Wiz finding becomes the Detect input to the DARV loop: prove exploitability, open the fix as a merge request or sandboxed runbook, and retest to confirm it's gone. Brokered credentials, sandboxed execution, deterministic tokenization, and a tamper-evident audit trail on every action.
Wiz finds the exposures in minutes. Fixing them still takes your team weeks.
Detection was never the bottleneck — remediation is. Wiz findings pile into a backlog, get routed to the wrong owner, and wait on a human to prove blast radius and hand-write the fix. Pre-baked auto-remediation scripts only cover the findings someone already scripted, and they fire and forget without confirming the exposure actually closed. The exposure window stays open not because the fix is hard, but because a person has to carry every finding across the line.
Oliver and Cyber run a closed loop on each Wiz finding. Every pass is recorded, so the next finding of the same shape closes faster than the last.
Ingests the Wiz finding and correlates it against your live cloud, Kubernetes, and source to pin the exact exposed resource.
Proves the finding with a safe, read-only check and assesses blast radius — reachability, privilege, and data exposure — before touching anything.
Opens the fix as a reviewable merge request or executes the runbook inside a sandbox with brokered credentials — under your approval gate.
Re-runs the check to confirm the Wiz finding is closed, rolls back if it is not, and writes a tamper-evident receipt of everything it did.
The agent starts read-only and earns scope per remediation skill — from L1 (observe and propose) to L4 (act autonomously within a guardrail). Engineers set the gate; the platform enforces it on every task.
Promote each remediation skill from notify, to act-with-approval, to autonomous — one at a time, as it earns trust on your Wiz findings.
Scoped credentials are issued per task and live in the sandbox — never in the prompt, never in the model.
Every fix runs in an isolated environment, scoped to the environments you approve — production stays behind an explicit gate.
Sensitive data is tokenized deterministically at egress — production PII and secrets never leave in the clear.
Every request an agent sends, every decision, and every remediation is recorded in an append-only, exportable audit log.
Your team reviews proposed fixes and tunes guardrails instead of hand-remediating every Wiz finding.
Findings move from detected to fixed in the same shift instead of waiting weeks in a triage queue.
Every remediation is retested against the original finding and rolled back if it did not close — a closed loop, not an open-loop script.
The agent works the long tail of recurring Wiz findings continuously, so your team reviews outcomes instead of drowning in tickets.
Want the full mechanics? See CloudThinker Cyber, learn what agentic remediation is, and check what your environment exposes with an Assessment.
Wiz + AI remediation is the pattern of taking the cloud-security findings Wiz surfaces and having an AI agent close them end-to-end — not just re-listing them. CloudThinker delivers this through Oliver and its Cyber module: they ingest each Wiz finding, run the DARV loop (Detect, Analyze, Remediate, Verify), and ship the fix as a merge request or a sandboxed runbook under your team's policy. Wiz tells you what's exposed; CloudThinker proves it, fixes it, and verifies the fix.
CloudThinker reads your Wiz findings through a scoped connection and treats each one as the Detect input to the DARV loop. It correlates the finding against your live cloud, Kubernetes, and source — the same environments Wiz already has context on — so remediation targets the real resource, not a guess. Credentials to touch those environments are brokered per task and never handed to the model.
Yes — autonomy is graduated and governed. Every remediation skill runs under graduated autonomy (L1–L4): the agent starts read-only, proposing fixes, and earns broader scope one skill at a time. Credentials are brokered per task, execution is sandboxed, sensitive data is tokenized deterministically at egress, and every action lands in a tamper-evident audit log. Production stays behind an approval gate your engineers set per environment — nothing ships autonomously until a skill has earned it.
Native auto-remediation and workflow rules fire a pre-written script when a finding matches a condition — open-loop, with no verification that the fix actually closed the exposure. CloudThinker runs a closed loop: it analyzes the specific finding, reasons about blast radius, drafts the fix as a reviewable merge request or runbook, and then re-runs the check to confirm the finding is gone — rolling back if it isn't. It reasons over novel findings instead of only matching the ones someone already scripted. TODO(steve): verify current Wiz native auto-remediation capabilities and wording.
No — it composes on top of Wiz. Wiz stays your cloud-security posture and detection layer. CloudThinker becomes the remediation layer that acts on the findings Wiz produces, closing the loop from exposure to verified fix. Teams keep their existing Wiz investment and add autonomous, audited remediation on top.
For every Wiz finding it works, you get: a verified analysis of exploitability and blast radius; the fix drafted as a merge request or executed as a sandboxed runbook under your approval gate; an automatic retest confirming the finding is closed; and a tamper-evident audit record of every action. Recurring finding shapes get faster each pass because the loop is recorded.
Connect CloudThinker to Wiz and watch it triage, prove, and draft the fix for a real finding today — read-only to start, scoped to environments you approve, and closed by merge request. Start a trial or book a demo.