Three Different Ways to Secure Cloud Infrastructure
Wiz, Orca, and Aegisify DI can address overlapping cloud-security problems, but they are built around different operating models. Wiz and Orca provide broad vendor-owned CNAPP platforms. Aegisify DI is AWS-first: it uses AWS-native security engines where appropriate and adds an Aegisify-owned intelligence, evidence, investigation, and workflow layer.
The Core Difference Is Who Owns the Security Engines
| Dimension | Wiz | Orca | Aegisify DI + AWS |
|---|---|---|---|
| Security engines | Vendor-owned cloud scanners, graph, runtime/log products, and code capabilities | Vendor-owned SideScanning, graph/data model, Sensor/CDR, and platform engines | AWS-native services are used as the source security and control engines: Security Hub and Security Hub CSPM, Amazon Inspector, GuardDuty, AWS Config, IAM Access Analyzer, Systems Manager, VPC network analyzers, WAF, Firewall Manager, Network Firewall, Security Lake, Detective, CloudTrail, KMS, Secrets Manager, API Gateway, and Bedrock security controls where applicable. DI owns the cross-service intelligence layer. |
| Intelligence layer | Wiz Security Graph and product risk context | Orca Unified Data Model and attack-path/risk context | DI digital twin, normalized asset and identity context, drift, attack paths, behavior, exposure, evidence, investigations, business context, remediation workflow, validation, and reporting across the AWS signals. |
| Runtime | Wiz Sensor / Defend | Orca Sensor / CDR | GuardDuty Runtime Monitoring for supported EC2, EKS, and ECS/Fargate workloads + GuardDuty findings + Detective/Security Hub context + DI Runtime Threats and attack-path correlation. |
| Raw telemetry | Wiz Defend includes a separately licensed log-ingestion dimension | Platform uses cloud logs and optional Sensor telemetry; private terms can vary | High-volume raw AWS telemetry remains customer-owned by default; DI queries bounded evidence when needed |
| Cloud scope | Broad multi-cloud | Broad multi-cloud | AWS-first, including AWS GovCloud-aware service mapping. DI can also use imported or centralized third-party security evidence where integrated, while AWS remains the primary protected-asset and remediation control plane. |
DI Uses a Simpler Customer-Facing Meter
Public list pricing is not the same as a negotiated enterprise quote, and AWS-native services add separate AWS charges. The figures below are current public anchors, not total-cost guarantees.
100 PW — $18,000/year
Planned annual list pricing. The same DI plan includes unlimited DI users, AWS accounts, and Regions inside the licensed workload capacity, with no Aegisify raw-log GB meter.
100 workloads — $24,000 or $38,000/year
Current AWS Marketplace lists Wiz Essential at $24,000 and Wiz Advanced at $38,000 per 100 cloud workloads. Sensor, Code, and Defend appear as separate dimensions.
100 concurrent EC2 — $84,000/year
Current public Orca starter tiers use concurrent EC2 ceilings, with 100 at $7,000/month, 300 at $12,000, 500 at $17,000, and 1,000 at $30,000.
How DI Combines AWS Security Services Into One Intelligence and Remediation Layer
DI does not need to replace mature AWS security services to cover the same security domains. It uses the relevant AWS services as source controls, correlates them in the DI digital twin, adds business and attack-path context, and drives an approved remediation workflow back through AWS-native controls. For changes that require write access, DI can use a separately authorized remediation role or customer-approved workflow rather than expanding the read-only collection role.
| Security domain | Wiz | Orca | Aegisify DI + AWS integrated approach |
|---|---|---|---|
| CSPM / misconfiguration | Wiz Cloud CSPM | Orca CSPM | Security Hub CSPM + AWS Config + CloudTrail + EventBridge/Systems Manager where supported + DI Governance, Drift, Evidence, and Best Practices. DI connects a failed control to the affected resource, account, Region, owner, change history, related risks, and remediation path. Customers keep AWS as the source of configuration truth while DI turns posture findings into prioritized, auditable action. In GovCloud, DI follows the controls and remediation mechanisms actually available in each GovCloud Region. |
| Vulnerability management | Agentless cloud/workload vulnerability context | SideScanning + contextual vulnerability management | Amazon Inspector + Security Hub + Systems Manager Patch Manager + ECR/CI/CD remediation workflows + DI Vulnerabilities. DI enriches CVEs with KEV/EPSS, internet exposure, identity reachability, runtime evidence, sensitive-data context, business criticality, blast radius, owner, and SLA so teams can fix the vulnerabilities that matter first. Amazon Inspector is available in both GovCloud Regions; DI adapts to GovCloud feature differences instead of assuming commercial-Region parity. |
| CIEM / access analysis | Wiz CIEM | Orca CIEM / optimization / JIT capabilities | IAM Access Analyzer + IAM + AWS Organizations/SCPs + CloudTrail + AWS Config + DI Identity & Entitlements. DI builds identity-to-resource relationships, highlights external access, risky trust, privilege paths, stale or excessive access, and high-impact roles, then maps remediation to IAM policy, trust-policy, permissions-boundary, SCP, or credential changes. IAM Access Analyzer is available in both GovCloud Regions. |
| DSPM / data security | Broad data-security posture | Broad data-security posture | Amazon Macie where available + S3 security controls + IAM Access Analyzer + Security Hub CSPM + AWS Config + KMS + CloudTrail + DI Data Security. DI combines data location, access, encryption, public exposure, identity, workload, and attack-path context so a data issue is tied to who can reach it and how to remediate it. For GovCloud, DI uses the GovCloud-available S3, IAM, Config, KMS, CloudTrail, and Security Hub control path when a commercial-region data service is not available. |
| Runtime threat detection | Wiz Defend + Sensor | Orca CDR + Sensor | GuardDuty Runtime Monitoring + GuardDuty threat findings + Security Hub + Amazon Detective + CloudTrail + DI Runtime Threats. DI correlates runtime activity with identity, vulnerabilities, network reachability, drift, assets, and attack paths, then routes approved containment or remediation through AWS controls such as IAM, Systems Manager, security groups, WAF, or Network Firewall as appropriate. GuardDuty Runtime Monitoring is supported in both GovCloud Regions with GovCloud-specific endpoint requirements. |
| Attack paths / exposure | Wiz Security Graph | Unified Data Model / attack paths | Security Hub exposure signals + VPC Reachability Analyzer + VPC Network Access Analyzer + VPC Block Public Access + IAM Access Analyzer + AWS Config + DI verified attack-path graph. DI joins network paths, vulnerabilities, permissions, sensitive data, runtime evidence, and business criticality into a verifiable path with entry point, target, blast radius, choke point, owner, evidence, and remediation validation. Reachability Analyzer and Network Access Analyzer are available in both GovCloud Regions. |
| Code / dependency / IaC | Wiz Code | Orca code security | Amazon Inspector Code Security where regionally available + CodeConnections/CodeBuild/CodePipeline + CloudFormation/IaC pipeline controls + DI Code & Supply Chain. DI links source, dependency, and IaC findings to the AWS resources they can become, then correlates them with deployed vulnerability, identity, exposure, runtime, and business context. In GovCloud, DI uses the code and CI/CD services available there and correlates pipeline evidence with Inspector workload/container findings when Inspector Code Security itself is not available. |
| Repository secrets / credential hygiene | Available in code-security products | Available in code-security products | DI Code & Supply Chain + repository/CI secret findings + AWS Secrets Manager + KMS + IAM + CloudTrail + CodeBuild/CodePipeline enforcement. DI connects a leaked or hardcoded credential finding to the AWS identity, resources, privileges, usage history, and deployment path that make it dangerous, then tracks rotation, revocation, policy correction, and evidence. Commercial AWS developer workflows can also use AWS code-review security capabilities where available; GovCloud workflows can keep approved secret detection inside the customer-controlled CI/CD pipeline and remediate through GovCloud Secrets Manager and IAM. |
| API security | Exposure/ASM can include APIs | Dedicated API Security | Amazon API Gateway + AWS WAF + AWS Config + CloudTrail + CloudWatch Logs + IAM + ACM + DI API/exposure context. DI correlates public reachability, authentication and authorization, WAF posture, endpoint configuration, certificate state, change history, ownership, and related attack paths, then maps fixes back to API Gateway, WAF, IAM, and configuration controls. API Gateway and WAF are available in both GovCloud Regions; GovCloud API Gateway uses GovCloud-specific/FIPS endpoints and has documented feature differences. |
| External attack surface / ASM | Dedicated attack-surface discovery | Exposure capabilities | DI Assets & Applications + Exposure & Validation + AWS Config/service inventories + EC2/EIP/ELB/API Gateway/Route 53/S3 exposure data + VPC Network Access Analyzer + Reachability Analyzer + WAF/Firewall Manager/Network Firewall. DI focuses on authoritative AWS-owned asset and control-plane data, identifies externally reachable resources in the connected estate, connects them to vulnerabilities, identities, data, owners, and attack paths, and validates remediation through AWS network and policy controls. This model is especially useful in GovCloud because the inventory and remediation source remains the customer’s GovCloud environment. |
| AI security | Cloud/AI posture + runtime capabilities | AI-SPM / AI inventory | DI AI Security + Amazon Bedrock + Bedrock Guardrails + IAM + KMS + CloudTrail + AWS Config + Security Hub controls where applicable. DI maps AI resources, identities, model/application access, guardrail posture, data paths, change history, and security findings into the same asset and evidence graph used for the rest of AWS. Amazon Bedrock is available in both GovCloud Regions, and GovCloud-specific Guardrails profiles can keep guardrail processing within the US-GOV geographic boundary where supported. |
| Multi-environment security evidence | AWS, Azure, GCP and broader | AWS, Azure, GCP and broader | AWS Security Lake/OCSF + DI integrations and evidence normalization. DI remains AWS-first for protected assets and remediation, but Security Lake can centralize AWS, on-premises, SaaS, and third-party security data in the customer’s AWS account. Where those sources are integrated, DI can use the evidence in investigations and correlation without pretending that AWS-native remediation controls exist in another cloud. Security Lake is available in both GovCloud Regions. |
Use the Same DI Intelligence Model With GovCloud-Native Security Controls
AWS GovCloud (US) is built as isolated AWS Regions for U.S. government agencies and other eligible customers handling regulated workloads. DI’s GovCloud approach is to use the security services, endpoints, controls, and evidence sources that actually exist in GovCloud, then normalize them into the same DI asset, identity, attack-path, investigation, and remediation model. DI does not treat commercial AWS feature availability as automatically identical to GovCloud.
Use AWS services already operating inside the GovCloud boundary
Security Hub and Security Hub CSPM, Amazon Inspector, GuardDuty Runtime Monitoring, AWS Config, IAM Access Analyzer, Systems Manager, Security Lake, WAF, API Gateway, Amazon Detective, VPC network analyzers, Secrets Manager, and Amazon Bedrock are examples of services DI can map into the GovCloud security workflow where supported.
Keep source telemetry and AWS control evidence close to the protected workload
DI can work from structured AWS findings, configuration state, identities, network paths, and bounded evidence instead of requiring every native control to be replaced by a second proprietary scanner. That gives customers clearer ownership of the underlying AWS security data and change history.
Fix issues through the AWS control plane
DI can map remediation to the service that owns the control—such as IAM, S3, KMS, WAF, Network Firewall, API Gateway, Security Groups, Systems Manager, Config, or CI/CD workflows—and use a separately authorized remediation path when write access is required. This preserves least privilege while keeping changes auditable in AWS.
Keep the Source Security Capability With the Cloud Provider—Then Add Intelligence Above It
AWS understands the AWS control plane
Inspector, GuardDuty, Security Hub, Config, Access Analyzer, VPC analyzers, WAF, CloudTrail, and other AWS services evaluate the same APIs, identities, network constructs, resources, and policies customers already operate. DI correlates those native signals instead of forcing customers to treat a duplicate scanner as the only source of truth.
Native capabilities remain useful without DI
If a customer later changes the intelligence layer, the underlying AWS findings, services, and source telemetry can remain in the AWS environment.
Turn AWS findings into prioritized action
DI focuses on the layer AWS services do not provide as one product: cross-signal correlation, business context, attack paths, evidence, investigations, workflow, ownership, remediation orchestration, and post-fix validation across multiple AWS security domains.
Choose Based on the Environment and Operating Model
Broad integrated cloud-security platform
Organizations prioritizing broad multi-cloud coverage, mature proprietary graph capabilities, code security, and tightly integrated runtime/log products may value Wiz’s vertically integrated platform.
Broad agentless workload and CNAPP depth
Organizations prioritizing Orca’s SideScanning model, broad CNAPP features, data security, API security, and optional Sensor/CDR capabilities may value that integrated approach.
AWS-first security intelligence, remediation, and GovCloud alignment
Organizations committed to AWS-native security services, customer-owned telemetry, GovCloud-aware architecture, integrated evidence, attack-path context, and AWS-control-plane remediation may prefer DI’s composable model.
Questions to Ask Before Choosing a Platform
Does DI need to rebuild every Wiz or Orca security engine?
No. DI uses the relevant AWS-native service when AWS already provides the security engine, then adds cross-service intelligence, evidence, attack paths, investigations, workflow, and remediation orchestration. The goal is an integrated AWS security operating model rather than a second copy of every scanner. In GovCloud, DI maps to the services and features actually available in the GovCloud Regions.
How does remediation work if AWS owns the underlying control?
DI identifies and prioritizes the issue, shows the evidence and affected relationships, recommends the target state, and maps the change to the AWS service that owns the control. Read-only collection can remain separated from write authority; approved remediation can use a separately authorized role or customer workflow so changes remain least-privilege and auditable.
Is AWS-native security free?
No. AWS security services can create usage charges. DI separates that native security spend from the Aegisify intelligence subscription so customers can see and control both.
How can Aegisify AI help?
Ask about Aegisify or WordPress: errors, plugins, security, SEO, compatibility, troubleshooting, comparisons, or launch a free website scan.