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AIOStack and Wiz

•AIOStack Team•5 min read

Learn how AIOStack and Wiz can work together to solve your AI Security needs.

Runtime vs. Static

Wiz:

  • Scans cloud infrastructure for vulnerabilities and misconfigurations
  • Static posture assessment - "what could go wrong"
  • Agentless snapshots of cloud state

AIOStack:

  • Monitors live AI traffic and behavior in real-time
  • Dynamic runtime detection - "what is going wrong right now"
  • eBPF agent capturing actual network flows and process activity

The Difference: Wiz tells you a container could call OpenAI. We tell you it is calling OpenAI, with customer PII, right now.

AI-Native vs. AI-Aware

Wiz:

  • Generic cloud security with some AI detection (containers with "ML" in the name, AWS SageMaker resources)
  • Treats AI workloads like any other cloud asset
  • Can't distinguish between a TensorFlow training job and a production LLM calling external APIs

AIOStack:

  • Purpose-built for AI/ML security from day one
  • Understands AI semantics: frameworks, models, agent protocols (MCP/ACP/A2A), LLM providers
  • Differentiates local inference vs. cloud API calls, training vs. production workloads

The Difference: Wiz sees "kubernetes pod with high network usage." We see "LangChain agent sending customer emails to OpenAI via MCP protocol."

Data Flow vs. Config Scan

Wiz:

  • Identifies resources with excessive permissions (IAM, RBAC)
  • Shows potential access paths to sensitive data
  • "This pod could access the database"

AIOStack:

  • Tracks actual data flows in real-time
  • Shows what data is actively being accessed and where it's going
  • "This pod accessed 47 customer records from PostgreSQL and sent them to api.openai.com in the last hour"

The Difference: Wiz audits permissions. We trace data movement.

Shadow AI Detection

Wiz:

  • Discovers unauthorized cloud resources (shadow IT)
  • Can flag SageMaker notebooks or Bedrock usage in non-approved accounts
  • Requires AI services to be deployed as identifiable cloud resources

AIOStack:

  • Discovers Shadow AI - unauthorized LLM integrations running inside approved infrastructure
  • Detects when engineers add import openai to existing services without security review
  • Finds AI buried in microservices, containers, serverless functions

The Difference: Wiz finds rogue AWS accounts. We find rogue AI code inside your approved infrastructure.

Protocol Intelligence

Wiz:

  • Network segmentation and firewall rule analysis
  • Generic traffic patterns (HTTP/S, ports, protocols)
  • No understanding of AI-specific protocols

AIOStack:

  • Deep inspection of AI agent protocols: MCP, ACP, A2A
  • Understands tool invocations, resource access, agent-to-agent coordination
  • Classifies AI traffic semantics (prompt, inference, embedding, tool call)

The Difference: Wiz sees HTTPS traffic. We see "MCP agent requesting tools/list from coordinator."

PII in Motion

Wiz:

  • Data classification of stored data (S3 buckets, databases, volumes)
  • Static scanning for PII at rest
  • Alerts on misconfigured public buckets

AIOStack:

  • Real-time PII detection in network payloads going to external AI APIs
  • Catches PII leakage as it happens, not after it's stored
  • Tracks PII flow: Database → Service → OpenAI

The Difference: Wiz finds PII in your S3 bucket. We catch PII being exfiltrated to OpenAI before it leaves your network.

Scope: Cloud-Wide vs. AI-Deep

Wiz:

  • Broad cloud security: IAM, networking, storage, compute, compliance
  • Mile-wide, inch-deep on AI
  • 1,000+ security checks across all cloud services

AIOStack:

  • Laser-focused on AI/ML workloads
  • Inch-wide, mile-deep on AI
  • Understands 40+ ML frameworks, 15+ model formats, 3 agent protocols, 10+ AI providers

The Difference: Wiz is your cloud security platform. We're your AI security specialist.

Use Case Comparison

Questions Wiz Answers:

  • "Do we have over-permissioned IAM roles?"
  • "Are any S3 buckets publicly exposed?"
  • "Which EC2 instances have unpatched vulnerabilities?"
  • "Is our Kubernetes RBAC configured correctly?"

Questions AIOStack Answers:

  • "Which services are calling OpenAI that we didn't approve?"
  • "Is customer PII being sent to external LLM APIs?"
  • "What AI models are running in production?"
  • "How many Shadow AI integrations exist across our infrastructure?"
  • "Which team deployed that Llama model accessing the customer database?"

Complementary, Not Competitive

Why you should use both:

Wiz handles: Cloud posture, compliance frameworks (CIS, PCI-DSS), vulnerability management, network security, IAM hygiene

AIOStack handles: AI-specific threats that Wiz wasn't built to detect - Shadow AI, LLM data leakage, agent protocol security, ML supply chain risks

Together: Wiz ensures your cloud is secure. AIOStack ensures your AI is secure.

We like Wiz, but here's when to Use Which

Use Wiz when:

  • You need comprehensive cloud security across AWS/Azure/GCP
  • You're focused on compliance frameworks and vulnerability management
  • You want agentless scanning with minimal operational overhead

Use AIOStack when:

  • You're building AI-powered products and need AI-specific security
  • You're worried about engineers shipping LLM integrations without review
  • You need to prove to auditors you know what AI is running and where data is going
  • You want to detect PII leakage to external AI APIs in real-time

Use Both when:

  • You want best-in-class cloud security AND AI-specific threat detection
  • You need comprehensive coverage: cloud posture (Wiz) + AI runtime behavior (AIOStack)