How to Remediate Wiz Findings with Tamnoon

Wiz built the detection and security platform that cloud teams trust. Tamnoon built the remediation for Wiz that turns trust into results.

Wiz’s agentless scanning, Security Graph, and toxic combination analysis surface risks most teams never had visibility into. With the recent launch of Red, Blue, and Green agents, Wiz has expanded further into offensive validation, threat investigation, and remediation guidance within its own platform.

Even with those capabilities, the operational challenge persists at scale. Every investigation starts with the same questions:

• Is this resource in production? 
• Who owns it? 
• What breaks if we change it? 

Answering those across thousands of findings takes hours per issue, and most teams don’t have the bandwidth. Tamnoon’s research shows critical cloud misconfigurations sit unresolved for an average of 128 days. Less than 1% of alerts result in a confirmed fix.

The most effective Wiz customers pair platform-native capabilities with a dedicated cloud security remediation layer: one that works across CNAPPs, brings expert oversight to high-risk actions, and handles root-cause fixes with IaC updates and drift prevention. That’s where Tamnoon’s integration with Wiz comes in.

Here’s how remediation for Wiz findings works within Tamnoon’s agent-led, expert-supervised workflow, with each stage tied to real platform actions.

What Wiz Delivers

Wiz changed how cloud security teams see their environments. Its agentless architecture connects to cloud APIs in minutes and scans the full stack without deploying a single agent. Key capabilities include:

• Agentless scanning: Full visibility into workloads, configurations, identities, data, and AI assets across AWS, Azure, and GCP, without a single agent to deploy or maintain.
• Security Graph: Connects context across infrastructure, identity, data, and applications to map relationships that isolated tools miss entirely.
• Toxic combination analysis: Identifies the specific chains of misconfigurations, overprivileged identities, and exposed resources that create real attack paths. Teams know which risks matter, not just which ones exist.
• Code-to-cloud correlation: Traces cloud risks back to the source code, commit, and owner, connecting runtime findings to the development decisions that introduced them.
• Runtime protection: Real-time threat detection through the Wiz Sensor and agentless cloud telemetry, purpose-built for cloud and AI environments.
• Wiz Agents (Red, Blue, Green): Red Agent runs offensive validation against web applications and APIs. Blue Agent investigates threats using cloud telemetry and runtime signals. Green Agent analyzes high-risk issues and generates remediation guidance within the Wiz platform. 

Wiz gives teams a strong foundation to build on, from detection through investigation and into remediation guidance. The operational question at scale becomes: how do you maintain consistent, validated fixes across thousands of findings, across multiple cloud providers, with root-cause prevention and full audit trails, without adding headcount?

What Tamnoon Adds (Full Remediation for Wiz)

Wiz identifies, investigates, and prioritizes cloud risk. Tamnoon, powered by Tami, ensures those findings are fixed safely, in the right order, and at scale, with cross-CNAPP consistency and expert oversight built in.

Tamnoon integrates with Wiz via the Issues API, ingesting Wiz Issues along with their severity, context, and affected resources. Once inside the platform, Tami converts raw findings into grouped initiatives, each enriched with the context teams need to act with confidence.

• Intelligent prioritization: Tami’s agentic prioritization groups related findings into initiatives ranked by business impact, asset value, Crown Jewel designation, and recurrence history. Thousands of alerts become a focused set of prioritized work.
• Remediation Confidence Indicator (RCI): Every finding gets scored as SAFE, RISKY, or UNSAFE based on read-only investigative automations run against live cloud APIs. The score determines what gets auto-remediated, what needs human approval, and what gets routed for coordination.
• Root-cause remediation: Fixes span IAM hardening, storage policies, network isolation, encryption enforcement, Kubernetes configuration, and IaC updates to prevent recurrence.
• Expert-supervised execution: CloudPros validate high-risk actions before anything touches the environment. Every step is documented in a complete audit trail.

Most of this work happens outside production. Investigation, enrichment, safety analysis, and remediation planning are all read-only. The only moment production is involved is the final, validated execution step. That distinction matters when the fear of breaking something is the main reason remediation stalls.

How Tamnoon Handles Remediation for Wiz Findings in 5 Stages

Here’s how a single Wiz finding moves through Tamnoon’s workflow from open alert to verified fix. 

The example: Wiz flags several S3 buckets for the same issue, with no HTTPS enforcement on the bucket policy.

Stage 1: Ingest and Normalize

Tamnoon pulls Wiz Issues via API and normalizes them into a common format. Findings are deduplicated across tools and grouped into initiatives by shared root cause or affected resource.

In this case, Wiz surfaces six S3 buckets with the same HTTPS policy violation. Here’s what happens next: 

1. Tami recognizes they share a common root cause and groups them into a single initiative rather than creating six separate tickets. 
2. The team’s queue starts with a manageable set of prioritized initiatives, not a wall of individual alerts.

Stage 2: Investigate and Enrich

A raw alert doesn’t contain enough information to act on safely. Tami runs read-only queries against live cloud APIs to build the full picture around each finding.

For each S3 bucket, Tami checks CloudTrail for HTTP vs. HTTPS traffic patterns over the last 90 days. It pulls access logs to identify who and what is interacting with the resource. It maps dependencies, confirms whether each bucket is production or test, checks encryption status and public exposure, and identifies ownership through resource tags and IAM mappings.

All of this is read-only. Nothing in production is touched. The output is a fully enriched initiative with enough context to answer the real question: is this safe to fix?

Stage 3: Assess Safety

This is where the workflow diverges from manual processes. Instead of treating every finding the same, Tami runs targeted investigative automations and assigns a Remediation Confidence Indicator (RCI) to each finding. The score evolves as each investigation step adds evidence.

Same HTTPS violation, six buckets. Three different outcomes after agentic investigation:

• SAFE: Two buckets show 100% HTTPS traffic with zero HTTP calls detected. One bucket is completely empty and unused. Tami proceeds with confidence.
• RISKY: One bucket has low HTTP traffic from an internal service that could be migrated to HTTPS with a configuration change. A remediation path exists, but requires human review.
• UNSAFE: Two buckets have active HTTP GetObject calls from production workloads. Enforcing HTTPS would break live applications. These get routed to the application team with full investigation context, not a raw alert.

That distinction doesn’t exist in a manual workflow. An analyst checking severity might treat all six the same. The RCI ensures each finding gets the response its evidence supports. For a deeper look at how each stage works across finding types, see how the full agentic cloud remediation workflow operates end-to-end.

Stage 4: Plan and Execute

SAFE findings get parameterized remediation scripts generated from battle-tested playbooks. For the SAFE buckets, Tami generates the S3 bucket policy update, applies least-privilege access rules, and pushes the change into IaC so the misconfiguration can’t be redeployed.

RISKY findings get the same remediation plan, but with a human-approval gate. A CloudPro or the customer’s own team reviews the plan and the investigation context before execution. 

UNSAFE findings are never auto-remediated. The developer receiving the finding gets the complete investigation, not a ticket that says “fix this bucket policy.”

Production is only touched at this step, and only for findings that have passed through investigation and safety assessment with an RCI attached.

Stage 5: Verify and Prevent

The fix is deployed, but the workflow continues. Tami runs post-remediation scans to confirm each change applied correctly, and the Wiz Issue is resolved. Drift monitoring catches regressions. Guardrails like Service Control Policies and policy-as-code rules prevent the same misconfiguration from being reintroduced.

Every step is captured in a complete audit trail: 

• What was found
• What context was gathered
• What the RCI was at each stage
• What action was taken 
• Who approved it
• What the verification results showed. 

For teams operating under SOC2, HIPAA, or similar frameworks, this is the compliance record that proves the issue was handled properly.

Tamnoon Across the Full Wiz Product Suite

Tamnoon’s integration with Wiz extends beyond CNAPP. The platform serves as the remediation layer across Wiz’s full ecosystem, giving teams a single place to act on findings regardless of where they originate.

• Wiz Cloud Security (CNAPP/CSPM): The core integration. Misconfigurations, vulnerabilities, identity risks, and compliance gaps flow into Tamnoon for prioritized investigation and safe CNAPP remediation.
• Wiz Defend (CDR): Real-time threat detections are correlated and enriched with cloud context. Tami investigates suspicious activity, identifies root causes, and prepares response plans so SOC teams can act faster.
• Wiz Code (ASPM): Code-to-cloud findings get closed in production. Tamnoon remediates IaC misconfigurations, rotates exposed secrets, and patches vulnerable dependencies, then updates the underlying code to prevent redeployment.
• Wiz Advanced (DSPM): Data security findings are enriched with asset criticality and ownership context, ensuring remediation is prioritized around the data that matters most.

Tamnoon’s Wiz integrations cover four key products, giving teams a single remediation workflow that goes from detection to a verified fix across the entire stack.

Close the Loop on Every Wiz Issue

Wiz built the detection platform that cloud security teams trust. Tamnoon built the remediation engine that turns that trust into results. Together, they create a complete path from finding to verified fix, with every step investigated, validated, and documented.

Organizations running Tamnoon with Wiz reduce open exposures by up to 97% within 90 days, investigation capacity increases by 25x, and findings that get fixed stay fixed, because prevention is built into the workflow.

The Wiz integration and partnership are already delivering full-cycle remediation for teams across fintech, healthcare, media, and financial services. Whether your team needs Tamnoon to operate as your cloud security operations layer or to strengthen the one you already have, the integration meets you where you are.

See how Tamnoon and Wiz work together in your cloud environments. Book a demo with one of our CloudPros today.