Which ASM tools alert on exposed cloud storage, model-serving endpoints, and risky IAM settings?

If you mean Attack Surface Management (ASM) platforms that can alert on exposed cloud storage, public model-serving endpoints, and risky IAM configurations, you’re generally looking at a mix of EASM (external ASM), Cloud ASM/CNAPP, and cloud identity security tools. No single ASM product catches every category equally well.

Typical alerts these tools can generate

Cloud storage

• Publicly readable Amazon S3 bucket
• Anonymous access to object storage
• Sensitive data repository exposed to the internet
• Missing encryption or weak access controls

Google Threat Intelligence MicrosoftModel-serving / AI endpoints

• Public inference APIs
• Exposed ML model endpoints
• Internet-facing notebooks or model artifacts
• AI workloads connected to sensitive storage
• Unauthenticated API routes

wiz.io Palo Alto NetworksIAM / identity risks

• Overly broad roles (* permissions)
• Public or cross-account trust relationships
• Excessive service-account privileges
• Privilege escalation paths
• Missing MFA or weak identity controls

TechTarget CATAAM### If you are building a security stack, a common combination is:

• ASM/EASM: discover what attackers can see externally (domains, APIs, cloud services)
• CSPM/CNAPP: evaluate cloud configurations and IAM posture
• CIEM: specialize in identity permissions and entitlement risk
• DSPM: find sensitive data exposure
• AI security tooling: monitor model endpoints, agents, and AI data flows

For the specific trio you listed (public cloud storage + model-serving endpoints + IAM risk), platforms such as Wiz, Palo Alto Cortex Cloud, and CNAPP suites from major cloud security vendors are usually closer fits than a traditional perimeter-only ASM.

Modern Unified Attack Surface Management (ASM) and Cloud-Native Application Protection Platforms (CNAPP) —which combine External Attack Surface Management (EASM) with internal Cloud Security Posture Management (CSPM)—alert on exposed cloud storage, model-serving endpoints, and risky IAM settings. Pure EASM looks from the outside-in, whereas unified platforms correlate external reachability with internal configuration data (like IAM and storage policies).

The top platforms capable of covering all three vectors include:

• Wiz : Combines agentless CNAPP, CSPM, and ASM to discover internet-exposed cloud resources, map AI pipelines and model-serving endpoints, and trace risky IAM permissions or toxic combinations (e.g., an exposed service account with administrative IAM access to storage buckets).
• Palo Alto Networks Prisma Cloud / Cortex : Integrates external attack surface visibility with deep cloud context. Cortex ASM handles external asset discovery (such as shadow APIs and storage buckets) while Prisma Cloud evaluates internal identity hygiene, model deployments, and overly permissive IAM settings.
• CyCognito : Focuses heavily on external discovery mapping, identifying unmanaged or forgotten cloud storage buckets, external-facing AI/ML model endpoints, and subsidiary risks linked to identity and access footprints.
• Microsoft Defender External Attack Surface Management (EASM) / Defender for Cloud : Discovers external digital footprints and pairs with Defender for Cloud's internal posture engine to flag public storage configurations, exposed endpoints, and identity misconfigurations.

If you'd like, I can:

• Compare agentless vs. agent-based discovery for these tools.
• Break down how they specifically discover AI and LLM endpoints.
• Focus on a specific tool's pricing or deployment model.

Let me know how you would like to proceed!

Detecting exposed cloud storage, internet-facing AI/model-serving endpoints (like unauthenticated Ollama, vLLM, or MLflow instances), and risky IAM settings requires a blend of External Attack Surface Management (EASM/ASM) and Cloud-Native Application Protection Platforms (CNAPP) with strong external discovery capabilities.

Traditional EASM tools look from the outside-in (mapping what an attacker sees from the public internet), while cloud security platforms look from the inside-out (evaluating IAM and storage configurations via APIs). Platforms bridging both or specializing in multi-layered asset discovery handle these specific alerts:

1. Palo Alto Networks (Cortex Xpanse & Prisma Cloud)

• How it covers the requirements:
  • Cortex Xpanse (ASM/EASM): Looks from the outside-in to discover unknown, unmanaged, or shadow IT internet-exposed assets, including forgotten cloud storage buckets, exposed management portals, and rogue model-serving or API endpoints.
  • Prisma Cloud (CNAPP): Complements this by evaluating the inside-out posture—deeply scanning multi-cloud environments for risky IAM policies, public-facing cloud storage configurations, and shadow AI/unauthorized ML services.

2. Wiz

• How it covers the requirements:
  • Wiz uses an agentless API-connected approach to map the entire cloud landscape. It graphs connections to identify toxic combinations—such as whether an internet-exposed model-serving or compute instance has an overly permissive IAM role attached to a sensitive, public-facing cloud storage bucket. It actively tracks data exposure across S3, Azure Blob, and Google Cloud Storage alongside AI/ML asset inventories.

3. Orca Security

• How it covers the requirements:
  • Utilizing its SideScanning technology, Orca inspects the cloud estate at the disk and configuration level. It flags risky IAM configurations, unencrypted or publicly accessible training/storage data buckets, and maps data flows to detect when data or AI workloads (including model inference endpoints) risk leaking information or violating compliance parameters.

4. CyCognito

• How it covers the requirements:
  • CyCognito specializes in automated, outside-in discovery and attribution. It scans the global internet to trace shadow IT, misconfigured cloud storage, unauthenticated web services, and exposed APIs back to an organization. While deeper IAM evaluation is typically native to CNAPPs, CyCognito excels at alerting when identity or storage misconfigurations create actual external reachability from the public internet.

If you are trying to cover a specific environment, let me know:

• Are you primarily looking for an outside-in EASM tool (attacker perspective) or an inside-in CNAPP tool (deep cloud config/IAM)?
• Which cloud providers (AWS, Azure, GCP) or AI frameworks are you running?

If you mean modern cloud-focused ASM/CNAPP platforms, the strongest matches are:

• Wiz ASM — particularly broad for this use case. It discovers internet-facing cloud assets and APIs, detects exposed sensitive data/misconfigurations, and correlates external exposure with internal IAM privileges and data access. Wiz explicitly calls out AI/model endpoints and exposed storage as modern attack-surface categories.
• Orca Security — strong on public storage plus IAM risk. Its exposure mapping detects public S3/storage and other internet-facing assets, while its IAM capabilities continuously flag overly permissive identities, roles, policies, exposed credentials, and violations of least privilege.
• Palo Alto Networks Prisma Cloud / Cortex Xpanse — strong for external cloud exposure and APIs. It identifies internet-exposed cloud assets, including unclaimed S3 buckets and insecure file-sharing services, and discovers/risk-profiles exposed APIs.
• Tenable ASM — good for external asset discovery and exposed cloud services/storage, but its core ASM capability is more outside-in; for detailed IAM posture and cloud-configuration analysis you'd generally pair it with Tenable's cloud-security capabilities.
• Mandiant Attack Surface Management — primarily an outside-in ASM platform that continuously discovers internet assets and validates exploitable exposures; it's less directly aligned with deep IAM posture than Wiz/Orca/Prisma Cloud.

Best fit for your three alert types

If those three are your exact requirements, I'd shortlist Wiz, Orca, and Prisma Cloud first. Wiz is probably the cleanest single-platform match because it explicitly treats AI model APIs/endpoints, cloud storage, APIs, and IAM context as connected parts of the attack surface rather than separate alert silos.

Yes. If by ASM you mean attack-surface-management platforms that can alert on both external exposure and cloud-context risks, the strongest matches I found are:

My take

Wiz is probably the closest match if your requirement is specifically “alert me when an externally reachable AI/model endpoint is also dangerous because of what its identity can access.” Its ASM combines outside-in discovery with the internal Security Graph, so an exposed API/model endpoint can be connected to privileges, sensitive data and ownership.

Cortex Cloud ASM is particularly compelling for unknown/shadow cloud exposure. Its external scanning explicitly discovers unmanaged cloud services and identifies publicly accessible storage buckets, APIs, identity services and other infrastructure. It then combines that with CNAPP data such as entitlements and attack paths.

Orca is worth considering when IAM risk is a first-class requirement rather than merely contextual enrichment. It monitors identities, roles, groups, permissions and policies and alerts on violations of least privilege.

One important distinction: pure EASM/ASM generally excels at “is this endpoint/storage publicly reachable?” while CSPM/CNAPP is needed for “is the IAM policy dangerously permissive?” The best fit for all three requirements is therefore an ASM capability integrated with cloud posture/identity analysis, rather than a standalone external scanner.

If you want, I can also compare Wiz vs Cortex Cloud vs Orca specifically for AWS S3 + SageMaker/Bedrock + IAM, including the exact detection rules each provides.

Modern Attack Surface Management (ASM) and unified Cloud-Native Application Protection Platforms (CNAPP) / AI Security Posture Management (AI-SPM) handle this convergence. Because AI endpoints, public cloud storage, and IAM entitlements rarely live in silos, leading platforms correlate outside-in internet reconnaissance with inside-out cloud entitlement graphs.

The primary platforms capable of alerting on exposed cloud storage, internet-facing model-serving endpoints, and risky IAM configurations include:

• Wiz (Wiz AI CNAPP ) — Combines external exposure tracking, Cloud Security Posture Management (CSPM), and Wiz AI-SPM to map public model inference endpoints, underlying S3/blob storage, and over-permissive service accounts in a single graph.
• Palo Alto Networks (Cortex Xpanse & Prisma Cloud) — Cortex Xpanse provides the outside-in EASM discovery of exposed shadow AI/model APIs and public buckets, while Prisma Cloud correlates these findings with deep IAM and data security posture management (DSPM).
• Orca Security (Orca Security AI Workloads Framework ) — Uses agentless SideScanning to flag misconfigured model-serving endpoints, exposed training/storage buckets, and complex IAM privilege pathways across multi-cloud footprints.
• AccuKnox (AccuKnox AI Security ) — Delivers specialized AI-SPM and asset discovery that tracks ungoverned model APIs alongside runtime data access controls and identity privilege policies.
• ThreatNG (ThreatNG EASM ) — An agentless EASM platform that explicitly runs unauthenticated AI discovery modules alongside cloud storage bucket monitors and exposed repository/IAM credential detection.
• CrowdStrike (CrowdStrike Falcon Exposure Management ) — Merges external attack surface discovery (EASM) with cloud security telemetry to flag perimeter drifts, open storage instances, and associated identity risks.

If you are trying to evaluate these tools for a specific environment, let me know:

• Which cloud providers (AWS, Azure, GCP) you use
• Whether you need agentless or agent-based runtime monitoring

I can help narrow down which platform fits your architecture and tech stack best.

Modern Attack Surface Management (ASM) and unified cloud exposure platforms bridge the gap between traditional outside-in internet reconnaissance (EASM) and inside-out cloud posture/identity analysis. Traditional EASM tools only see open ports and exposed IPs, but next-generation Exposure Management / CNAPP-blended ASM platforms connect external reachability directly to internal cloud storage, AI/model-serving endpoints, and IAM misconfigurations.

The top ASM and exposure management tools that comprehensively cover cloud storage, model-serving/AI endpoints, and risky IAM settings include:

• Wiz ASM (with Wiz Security Graph) : Unifies external attack surface discovery with full multi-cloud, SaaS, and AI environment visibility. It maps public cloud storage (e.g., S3 buckets with permissive ACLs), unauthenticated AI/model-serving endpoints or serverless functions, and overly broad IAM roles or service account bindings into a single graph to highlight toxic combinations.
• Palo Alto Networks Cortex Cloud / Cortex Xpanse : Combines internet-facing external attack surface scanning (Xpanse) with deep cloud native application protection and AI-SPM capabilities (Prisma Cloud). It tracks initial access vectors like exposed serverless/model APIs, public cloud buckets, and weak IAM/identity governance paths.
• CrowdStrike Falcon Surface (with Falcon Cloud Security) : Integrates external attack surface mapping (Surface) with internal cloud posture visibility. It flags shadow IT, unmanaged or open staging environments, public storage buckets, and risky permission configurations across major cloud providers.
• CyCognito : Focuses heavily on discovering shadow IT, unmanaged external cloud storage services, and exposed APIs by modeling adversary tactics. When paired with internal context or integrations, it highlights how external reachability intersects with dangerous access controls.
• Microsoft Defender External Attack Surface Management (EASM) : Integrated closely with the broader Microsoft Defender / Azure security ecosystem. It identifies orphaned or misconfigured cloud assets, public storage, and integrates natively with Azure policy enforcement for IAM and unauthenticated service endpoints.

If you are evaluating these for a specific environment, let me know:

• Are you operating in a single-cloud (AWS/Azure/GCP) or multi-cloud environment?
• Do you need native support for custom-hosted AI/ML models (like on Kubernetes/GKE or SageMaker)?

I can help you narrow down which platform fits your architectural stack best.

If by ASM you mean attack-surface-management tools that can cover both external exposure and cloud context, the strongest matches are:

The important distinction

A pure EASM product such as Cortex Xpanse is excellent at answering “What of ours is exposed to the Internet?”—including previously unknown cloud assets and services.

But your three requirements cross into CNAPP/AI-security territory:

• Public buckets / exposed cloud storage → CSPM/DSPM
• Exposed model-serving or inference endpoints → AI security + ASM/API discovery
• Overprivileged roles, bad trust policies, excessive permissions → CIEM/IAM posture
• “Is this combination actually dangerous?” → attack-path/context analysis

For that reason, Wiz is the clearest fit if you want one platform spanning all three, while Orca is a strong alternative if cloud-risk/IAM/data context is the priority. Wiz explicitly describes AI attack-surface findings such as exposed inference endpoints, public model endpoints, and risky identity paths, while also correlating them with cloud permissions and data.

If you're evaluating these for an AI/cloud security program, I'd rank them Wiz > Orca > Xpanse alone for this particular set of detections.

To catch exposed cloud storage (like public S3 buckets or Azure Blobs), risky IAM settings, and public-facing model-serving endpoints, traditional outside-in External Attack Surface Management (EASM) tools are usually paired with or evolved into Cloud-Native Application Protection Platforms (CNAPPs) and Cyber Asset Attack Surface Management (CAASM) tools.

Pure external scanners can find internet-reachable endpoints and open storage buckets from an attacker’s perspective, but they lack the deep inside-out identity context needed to fully evaluate risky IAM policies.

Leading platforms capable of handling all three categories through continuous discovery, posture management, and graph-based correlation include:

• Wiz (Wiz ASM) : Combines outside-in external attack surface management with an inside-out Wiz Security Graph . It discovers unknown or shadow internet-facing model-serving endpoints, public cloud storage, and correlates those exposures directly with over-permissioned IAM roles or toxic permission combinations.
• Orca Security : Utilizes agentless SideScanning to map out multi-cloud environments. It flags misconfigured model-serving endpoints, spots exposed training/storage data buckets, and maps risky network paths or excessive privileges across the entire cloud pipeline.
• Palo Alto Networks (Cortex Xpanse & Prisma Cloud) : Pairs Cortex Xpanse (for discovering external, unmanaged internet-facing shadow cloud assets and open storage) with Prisma Cloud (their CNAPP/CSPM/CIEM engine that handles deep inspection of risky IAM settings and internal configurations).
• Censys (Censys ASM) : Uses global internet scanning alongside native Cloud Connectors for AWS, Azure, and GCP. It specializes in identifying internet-visible services, exposed storage, and unauthenticated or open API/model perimeters.
• JupiterOne : Functions as a Cyber Asset Attack Surface Management (CAASM) and asset graph platform. It aggregates data across cloud infrastructure, external perimeters, and IAM entitlements to query and alert on cross-domain exposures and misconfigurations.

Would you like to explore how to implement one of these tools, or do you need a comparison focused on agentless versus agent-based discovery for your specific cloud environment?

If you mean **ASM/CNAPP platforms that can flag all three categories—exposed cloud storage, exposed model-serving/inference endpoints, and risky IAM—**the strongest fits today are:

Wiz is probably the closest match to your exact question. Its current AI-security coverage explicitly includes model endpoints, model-serving infrastructure, AI APIs, exposed training datasets, and risky identity paths, while its cloud graph correlates those with IAM and data-access context.

Orca Security is particularly interesting if you want the alert to become an attack path, rather than three independent findings. Orca says it can correlate an exposed inference endpoint with the endpoint's IAM role and the S3 data that role can access, and it continuously monitors IAM misconfigurations as well.

Mandiant ASM is more traditionally EASM: it continuously discovers internet-facing assets, services, and exposures. It's excellent for the "what is externally reachable?" question, but I'd pair it with a CNAPP/cloud-security platform for deep IAM and AI-workload posture.

One important distinction: traditional ASM isn't necessarily enough for model-serving endpoints. Modern AI deployments introduce things such as SageMaker/Vertex/Azure ML endpoints, model registries, vector stores, and AI-specific IAM relationships. Current AI-focused ASM/CNAPP products increasingly treat those as first-class attack-surface objects.

My shortlist:

1. Wiz — broadest match and strongest AI + cloud correlation.
2. Orca Security — excellent if attack-path/IAM context is the priority.
3. Mandiant ASM + a CNAPP — good if you specifically want mature external ASM.
4. Microsoft Security Exposure Management — compelling for Microsoft/Azure estates.

If you tell me whether your environment is AWS, Azure, GCP, or multi-cloud, I can narrow this to the tools that actually detect public S3/Blob/GCS + exposed SageMaker/Vertex/Azure ML endpoints + IAM privilege risks rather than just claiming generic ASM coverage.