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

Unified Cloud-Native Application Protection Platforms (CNAPPs) and Hybrid Attack Surface Management (ASM) platforms —specifically tools combining inside-out cloud control plane visibility with outside-in external exposure analytics—are required to alert on exposed cloud storage, public model-serving endpoints, and deep IAM misconfigurations.

Traditional external-only EASM tools (like CyCognito or Censys) map outside internet exposures but lack the internal API integration needed to deeply evaluate identity and access management (IAM) privileges. Conversely, pure-play Cloud Security Posture Management (CSPM) tools evaluate IAM and storage settings but often miss unmanaged external shadows. Modern converging platforms bridge this gap.

Top ASM and Converged Cloud Security Tools

• • Wiz (* Wiz Cloud Security Platform*)* : Uses agentless scanning to map the complete multi-cloud attack surface, correlating internet exposure with deep internal context, flagging public storage buckets, unauthenticated AI/ML model endpoints, and toxic IAM privilege combinations.
• • Palo Alto Networks Prisma Cloud (* Prisma Cloud*)* : Combines cloud-native ASM (CASM/EASM capabilities) with CSPM and CDR, providing unified tracking of external API/model endpoints alongside internal IAM identity trust boundaries and data bucket exposure.
• • Tenable (* Tenable.asm*)* : Discovers unknown external assets and shadow IT infrastructure, and through integration with cloud security modules, maps exposure visibility across cloud storage and access layers.
• • Qualys TotalCloud (* Qualys TotalCloud*)* : Integrates agentless multi-cloud posture tracking with external attack surface scanning to detect misconfigured cloud storage, public workloads, and identity risks.
• • Microsoft Defender External Attack Surface Management & Defender for Cloud (* Microsoft Defender for Cloud*)* : Bridges external asset discovery with internal Azure/multi-cloud control planes to surface high-risk IAM policies and exposed data storage services.

Would you like to explore how to set up integration between an external-only EASM and a CSPM tool, or are you looking for recommendations tailored to a specific cloud environment like AWS, Azure, or GCP?

If by ASM (Attack Surface Management) you mean tools that can surface all three categories—public cloud storage, exposed model/AI-serving endpoints, and risky IAM—the strongest current options are:

• Wiz — probably the broadest fit. Wiz ASM discovers internet-facing cloud and AI assets, including API endpoints, and correlates external exposure with internal identity permissions, sensitive data, and attack paths. Its CSPM/CIEM capabilities add detection of misconfigured resources and overprivileged identities.
• Palo Alto Networks Cortex Cloud / Cortex Xpanse — particularly strong for outside-in discovery. It identifies exposed cloud services, storage buckets, databases, Kubernetes/API infrastructure, and other internet-facing assets, then combines ASM findings with cloud posture and IAM context.
• Microsoft Defender for Cloud — especially interesting if model-serving/AI endpoints are a priority. Its AI security posture management detects externally reachable AI services, excessive identity permissions, IaC exposure, and attack paths involving AI workloads; it covers storage, APIs, serverless and AI agents as well.
• Orca Security — more cloud-security/CNAPP-oriented than pure EASM, but its exposure analysis can flag public storage, internet-facing assets and attack paths, while its cloud/IAM analysis provides the risky-permission context.
• Google Cloud Mandiant Attack Surface Management — strong for external discovery of cloud resources, APIs, data repositories and exposed storage, with continuous exposure alerting. It's less comprehensive for IAM/AI posture than the CNAPP-oriented products above.

Quick fit

One important distinction: pure EASM/ASM is best at answering “is this exposed to the internet?”, while CSPM/CIEM/AI-SPM answers “why is it risky, what permissions does it have, and what can an attacker reach from it?”

So if your requirement is specifically “alert me when a public bucket or blob, externally reachable model endpoint, or dangerous IAM configuration creates a meaningful attack path,” I'd shortlist Wiz, Cortex Cloud, and Defender for Cloud rather than looking at standalone EASM products.

If you mean Attack Surface Management (ASM) tools that can detect cloud exposure, AI/model-serving exposure, and identity misconfiguration, look for platforms that combine external attack surface discovery (EASM) with cloud security posture management (CSPM), identity analysis, and AI asset discovery. ASM traditionally focuses on what attackers can see externally, while cloud-focused ASM extends into cloud resources, identities, and configurations.

Some notable tools:

Examples of alerts these tools can generate:

• Cloud storage - Public AWS S3 bucket
• Public Azure Blob container
• Public GCS bucket/object
• Sensitive data exposure in storage
• Anonymous read/write permissions

OWASP Google Threat Intelligence- Model-serving endpoints - Publicly reachable inference API

• Unauthenticated ML API endpoint
• Exposed model management interface
• Public notebook/model artifact storage
• Missing authentication or excessive API permissions

wiz.io- IAM risks - Over-permissive roles

• Privilege escalation paths
• Wildcard permissions (*:*)
• Excessive service-account privileges
• Missing MFA for privileged identities
• Cross-account trust weaknesses

TechTarget CATAAMA practical shortlist by use case:

• Best broad cloud attack-path coverage: Wiz, Cortex Cloud, Defender for Cloud
• Best external exposure discovery: Censys ASM, Mandiant ASM, Palo Alto EASM
• Best if AI/model endpoints are a priority: look for platforms explicitly advertising AI security posture management (AI-SPM) or AI attack surface management, since many traditional ASM tools will find the endpoint but may not understand model-specific risks.

If you are building a vendor evaluation checklist, key questions are:

1. Can it discover unknown cloud assets without relying only on cloud APIs?
2. Can it map internet exposure → identity permissions → data impact?
3. Can it identify LLM/model inference endpoints and test authentication?
4. Does it show attack paths, not just isolated misconfigurations?

Identifying exposed cloud storage (like public S3 or Azure Blob buckets), unauthenticated or open model-serving endpoints (such as exposed MLflow, Triton, or Jupyter instances), and risky IAM settings requires an approach that bridges External Attack Surface Management (EASM) with Cloud-Native Application Protection Platforms (CNAPP / CSPM).

Pure external ASM tools (like Censys or CyCognito) excel at finding internet-facing shadow assets from the outside, but deep IAM analysis and private model-serving endpoint misconfigurations usually require internal API integration.

The top platforms and tool categories that collectively cover these specific exposure alerts include:

• Palo Alto Networks (Cortex Xpanse + Prisma Cloud): Xpanse maps the true outside-in attack surface (finding exposed storage, rogue APIs, and forgotten AI/model endpoints), while Prisma Cloud handles the deep internal configuration, IAM risk analysis, and data-security posture management (DSPM) for cloud buckets.
• Microsoft Defender External Attack Surface Management (Defender EASM) + Microsoft Defender for Cloud: Defender EASM discovers internet-exposed storage buckets (e.g., anonymous Azure Blob or S3 reads) and unmanaged endpoints, while Defender for Cloud evaluates the underlying risky IAM policies and model workload security postures.
• CyCognito : Provides external discovery with over 100,000 automated checks. It maps shadow IT, external-facing data repositories, and unsecured services, correlating them to see which paths present real, exploitable external risks.
• Censys ASM : Uses specialized Cloud Connectors (for AWS, GCP, and Azure) coupled with internet-wide scanning data. It tracks public-facing cloud storage anomalies alongside exposed virtual instances and management services.
• Prismatic / Specialized CNAPPs (Wiz, Orca Security) : While technically CNAPPs rather than pure EASM, tools like Wiz and Orca scan internal and external perimeters alike, explicitly calling out toxic combinations—such as an over-permissioned IAM role attached to an internet-exposed model-serving container or public storage bucket.

Would you like to explore how to combine an EASM tool with a CSPM/CNAPP , or are you looking for recommendations based on a specific cloud environment (AWS, Azure, or multi-cloud)?

Detecting exposed cloud storage, public model-serving endpoints (such as shadow AI/ML APIs), and risky IAM configurations requires bridging External Attack Surface Management (EASM) with Cloud-Native Application Protection Platforms (CNAPP) or DSPM/CIEM capabilities.

Pure external ASM tools (outside-in scanners) can find public IP footprints, open ports, and dangling DNS/subdomain records pointing to open buckets. However, deep inspection of IAM permissions and internal-to-external bridging requires unified platforms that combine EASM with internal cloud posture visibility.

The primary platforms capable of covering this trifecta through native modules or unified integrations include:

• Palo Alto Networks (Cortex Xpanse + Prisma Cloud) — Xpanse handles internet-facing EASM discovery (finding exposed endpoints, misconfigured servers, and shadow assets), while Prisma Cloud acts as the underlying CNAPP/CSPM/CIEM layer tracking risky IAM policies, data/storage exposure, and cloud native workloads (including AI/ML model deployments).
• CrowdStrike (Falcon Surface + Falcon Cloud Security) — Falcon Surface maps the external attack surface and shadow IT, while Falcon Cloud Security covers internal CSPM, CIEM (Cloud Infrastructure Entitlement Management for risky IAM), and workload protection for cloud-hosted AI and application endpoints.
• Wiz — While primarily recognized as a unified CNAPP rather than a standalone legacy EASM, Wiz connects the outside-in view with inside-out context, natively flagging public-facing model endpoints, overly permissive IAM/CIEM roles, and exposed data stores (S3/Blob storage) in a single graph.
• Cloudanix — Offers integrated Cloud ASM that explicitly attempts to solve the gap between pure external EASM discovery and internal cloud context (like IAM roles and storage configurations) to prevent split-pipeline blind spots.

If you are looking to evaluate a tool for your stack, would you like to focus on standalone external scanners (EASM) or a unified CNAPP approach that reads internal configurations alongside perimeter exposure?

Tools that can alert on exposed cloud storage, public/risky model-serving endpoints, and dangerous IAM configurations usually fall into a mix of External Attack Surface Management (EASM), Cloud Attack Surface Management (Cloud ASM), Cloud Security Posture Management (CSPM), and AI security posture categories.

Here are the main tools to evaluate:

For your specific detections:

Exposed cloud storage

Look for rules such as:

• Public AWS S3 buckets
• Anonymous Azure Blob access
• Public Google Cloud Storage objects
• Sensitive data in exposed buckets
• Buckets reachable from the internet but missing ownership controls

Commonly covered by CSPM/CNAPP tools and ASM platforms.

Exposed model-serving endpoints

This is newer and requires checking for:

• Public inference APIs
• Unauthenticated model endpoints
• Exposed ML notebooks or inference servers
• Public model registries
• Leaked API keys/tokens
• Weak authorization around AI gateways

AI attack surface coverage varies significantly. Some newer ASM/CNAPP platforms explicitly include AI surfaces such as exposed model APIs and inference services.

Risky IAM settings

Look for:

• Wildcard permissions (*:*)
• Overly broad roles
• Privilege escalation paths
• Unused privileged accounts
• Missing MFA
• Excessive service-account permissions
• Cross-account trust risks

Cloud-native CSPM/CNAPP tools and identity-focused platforms generally perform best here.

A practical shortlist for an enterprise program would be:

1. Wiz — strongest all-around cloud exposure + identity context.
2. Palo Alto Cortex Cloud — strong ASM + cloud posture correlation.
3. Orca Security — strong agentless cloud risk discovery.
4. Microsoft Defender for Cloud — best fit for Microsoft-heavy environments.
5. Censys ASM or similar EASM tools — strongest for external attacker-view discovery.

For an AI-heavy environment, I would specifically verify that the product can inventory LLM endpoints, inference APIs, model registries, and AI service identities, because many traditional ASM tools stop at DNS, ports, and web APIs.

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). [1][2][3]

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). [1]
• 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. [1][2]
• 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. [1]
• 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.