What is Cloud Exposure in Cybersecurity?
Cloud exposure refers to the unintentional, unauthorized, or unmonitored revelation of an organization’s cloud-hosted assets, data, identities, interfaces, or configurations to the public internet or untrusted third parties.
Unlike traditional internal vulnerabilities that require an attacker to breach a physical perimeter or bypass a corporate firewall, cloud exposures exist natively on internet-reachable infrastructure. Cloud exposure represents a substantial portion of an enterprise's external attack surface because it typically stems from misconfiguration, excessive permissions, or governance blind spots rather than zero-day software flaws.
Primary Vectors of Cloud Exposure
Cloud exposure spans Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) environments:
Unprotected Object Storage: Publicly accessible storage containers, such as misconfigured Amazon Web Services (AWS) S3 buckets, Microsoft Azure Blob containers, or Google Cloud Platform (GCP) storage buckets, allowing unauthorized read or write access.
Exposed Management Interfaces and Remote Services: Internet-facing administrative consoles, management ports (such as SSH on port 22 or RDP on port 3389), and Kubernetes API servers left reachable without IP allowlists or VPN requirements.
Unrestricted Database and Cache Instances: Cloud-hosted relational databases, NoSQL clusters, or distributed caches (such as Elasticsearch, MongoDB, PostgreSQL, or Redis) assigned public IP addresses without network access control lists.
Non-Human Identity (NHI) and API Token Leaks: Hardcoded cloud provider secrets, service account credentials, OAuth tokens, and IAM keys committed to public version control repositories or left in publicly readable web directories.
Dangling DNS and Cloud Routing Artifacts: Abandoned CNAME records pointing to decommissioned cloud instances, PaaS applications, or storage endpoints, leaving subdomains susceptible to subdomain takeover.
Shadow Cloud and Ephemeral Workloads: Unsanctioned cloud accounts, rogue virtual machines, and temporary developer staging clusters spun up outside of central security monitoring.
Core Causes of Cloud Exposure
Cloud environments are dynamic, API-driven, and designed for rapid connectivity, which introduces distinct operational challenges:
Configuration Drift: Fast-paced continuous integration and continuous deployment (CI/CD) pipelines frequently alter infrastructure states, inadvertently overwriting secure baselines with permissive settings.
Overly Permissive Identity and Access Management (IAM): Granting wildcard permissions, broad role assumptions, or default administrative privileges to service principals and human accounts.
Complex Multi-Cloud Architectures: Managing disparate security controls, terminology, and policy definitions across multiple cloud service providers without unified governance.
Lack of Outside-In Visibility: Relying exclusively on internal cloud configuration auditing tools while remaining unaware of what external automated scanners and adversaries can reach from the public internet.
Technical and Business Impacts of Cloud Exposure
Leaving cloud resources exposed creates immediate operational, financial, and regulatory consequences:
Sensitive Data Breaches: Unauthenticated access to proprietary intellectual property, employee records, customer personally identifiable information (PII), or financial databases.
Ransomware and Extortion: Adversaries locating open cloud storage or unauthenticated databases to exfiltrate data, delete original copies, and demand ransom payments.
Initial Access and Lateral Movement: Threat actors using an exposed cloud instance as a pivot point to compromise internal networks, assume IAM roles, and access core enterprise services.
Regulatory Penalties and Compliance Violations: Violating strict data protection mandates—such as GDPR, HIPAA, PCI DSS, or SEC cybersecurity disclosure requirements—resulting in regulatory fines and legal liability.
Resource Hijacking and Compute Theft: Unauthorized actors deploying cryptocurrency mining containers or utilizing compromised cloud compute capacity for malicious botnets.
How to Mitigate and Manage Cloud Exposure
Reducing cloud exposure requires combining proactive configuration controls with continuous external discovery:
Enforce Zero-Trust Network Controls: Place all cloud workloads, databases, and administrative services behind private virtual networks, secure access service edge (SASE) solutions, or VPN bastions rather than public IP addresses.
Apply Strict Least-Privilege IAM: Scope non-human identity permissions to the minimum necessary actions, implement short-lived session tokens, and eliminate unused credentials.
Enable Cloud Service Provider Guardrails: Enforce organizational policies that block public storage creation by default (such as AWS S3 Block Public Access) across all enterprise cloud accounts.
Implement Continuous Attack Surface Mapping: Continuously discover and catalog all external-facing cloud IP blocks, subdomains, and object storage containers to detect shadow assets before attackers locate them.
Automate Secrets Detection: Scan public and private source code repositories, commit histories, and deployment manifests to identify and revoke leaked cloud API keys and tokens.
Frequently Asked Questions
What is the difference between a cloud vulnerability and a cloud exposure?
A cloud vulnerability is a software bug, flaw, or logic error within an application or operating system (such as an unpatched CVE). A cloud exposure is an accessible state—often caused by a misconfiguration or broad access policy—that leaves an asset or data reachable by unauthorized parties over the public internet, regardless of whether a software flaw exists.
Why is cloud exposure often invisible to internal security teams?
Cloud exposure often occurs on shadow IT assets, rogue developer subscriptions, or ephemeral staging environments created outside official governance processes. If internal security tooling isn't deployed to those subscriptions, exposed resources remain undetected until an external scout or threat actor discovers them.
How do threat actors locate exposed cloud resources?
Threat actors deploy high-speed internet port scanners, monitor SSL/TLS certificate transparency logs, enumerate DNS records, test permutation dictionaries against cloud storage naming conventions, and scrape public code repositories for leaked cloud credentials.
Eliminating Cloud Exposure and Securing Multi-Cloud Perimeters with ThreatNG
Cloud exposure—encompassing publicly readable object storage, dangling DNS pointers, exposed administrative interfaces, unmonitored SaaS sprawl, and leaked cloud credentials—represents one of the most volatile segments of an enterprise's external attack surface. Because cloud environments operate on elastic, internet-native infrastructure, misconfigurations and configuration drift expose enterprise data stores and APIs directly to automated adversary bots without requiring an attacker to breach an internal perimeter.
Traditional internal cloud security tools, such as Cloud Security Posture Management (CSPM) and Cloud Workload Protection Platforms (CWPP), suffer from the Contextual Certainty Deficit: they require internal API connectors, credentials, or software agents. As a result, they remain blind to unsanctioned shadow cloud environments, rogue developer subscriptions, abandoned staging instances, and third-party SaaS applications spun up outside the central security team's knowledge.
ThreatNG addresses cloud exposure by functioning as an unauthenticated external scout. By unifying External Attack Surface Management (EASM), Digital Risk Protection (DRP), and continuous Security Ratings into a single platform, ThreatNG discovers, evaluates, categorizes, and monitors an enterprise’s complete public digital perimeter and multi-cloud and SaaS footprint from an outside-in, adversary-centric perspective. By validating reachability, detecting open cloud storage containers across AWS, Azure, and Google Cloud Platform (GCP), modeling complex compromise chains via DarChain, and providing Legal-Grade Attribution, ThreatNG eliminates deployment friction without requiring internal software agents, API access keys, or administrative credentials.
External Discovery
Adversaries do not limit their reconnaissance to sanctioned cloud accounts; they scan global IP ranges and public DNS registries for unmanaged, forgotten, or orphaned cloud assets. ThreatNG uncovers this hidden multi-cloud estate through connectorless external discovery.
Connectorless Cloud and Perimeter Discovery: ThreatNG maps the entire public-facing digital footprint using unauthenticated discovery with zero internal connectors, software agents, or network credentials. It queries public domain registries, authoritative DNS zone files, SSL/TLS certificate transparency logs, Regional Internet Registry (RIR) databases, and global BGP routing tables to inventory every public cloud IP block, subdomain, cloud compute instance, and web application.
Patented Recursive Discovery for Shadow Cloud Environments: Starting from an initial seed (such as an apex domain, brand entity, or ASN), ThreatNG iteratively expands outward. As newly uncovered subdomains, DNS records, or netblocks emerge, the engine feeds them back in as fresh discovery seeds. This recursive process discovers unmanaged developer staging instances, rogue cloud compute nodes, and orphaned cloud storage containers deployed across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and regional cloud providers.
Unauthenticated SaaS and Cloud Footprint Discovery (SaaSqwatch): ThreatNG discovers sanctioned and unsanctioned Software-as-a-Service (SaaS) and cloud implementations by monitoring public "digital exhaust," including DNS records, Canonical Name (CNAME) routing chains, HTTP headers, and SSL/TLS certificates. It catalogs external dependencies across analytics, customer relationship management (CRM), file sharing, collaboration, and human resources platforms without internal access.
Third-Party Dependency and Supply Chain Cloud Mapping: ThreatNG inspects perimeter routing to identify organizational dependencies across Content Delivery Networks (CDNs), external cloud DNS providers, and Platform as a Service (PaaS) platforms (such as Heroku, Vercel, and AWS Elastic Beanstalk), cataloging external cloud touchpoints where third-party misconfigurations introduce transitive risk.
Adversary Cloud Infrastructure and Lookalike Discovery: ThreatNG continuously discovers newly registered, typosquatted, and lookalike domain permutations (such as homoglyphs and transposed characters) registered across global domain registrars. It identifies active MX records and SSL/TLS certificates configured to impersonate corporate cloud login interfaces or brand domains before attackers launch credential-harvesting campaigns.
Subsidiary and Extended Ecosystem Scoping: Because ThreatNG operates without internal credentials or vendor permissions, organizations can execute unauthenticated discovery across corporate subsidiaries, prospective acquisition targets (M&A due diligence), and third-party vendors. This brings unmanaged cloud footprints across the extended supply chain into a unified governance view.
External Assessment
ThreatNG elevates cloud exposure assessment from superficial banner grabbing to deterministic, evidence-backed evaluation using its Known Vulnerability Exposure Verification (KVEV) engine, proprietary Security Ratings, and 4-Dimensional (4D) Data Model.
Detailed Assessment Example 1: Open Cloud Storage Bucket Assessment (AWS, Azure, and GCP): ThreatNG evaluates public cloud storage environments across Amazon Web Services (Amazon S3), Microsoft Azure (Azure Blob Storage and Azure Data Lake), and Google Cloud Platform (Google Cloud Storage). ThreatNG conducts unauthenticated external evaluations to verify bucket access control configurations, specifically hunting for buckets that allow public read or write access. For example, ThreatNG discovers an unmanaged S3 bucket (company-analytics-dev), determines that the Access Control List (ACL) is configured to allow PublicRead, and safely checks the exposed directory structure to confirm unencrypted database backups (.sql) and spreadsheets containing personally identifiable information (PII). ThreatNG assigns an immediate F Data Leak Susceptibility score and provides cryptographic proof of exposure.
Detailed Assessment Example 2: Subdomain Takeover Susceptibility Verification: ThreatNG inspects discovered subdomains across multi-cloud environments for dangling CNAME records pointing to decommissioned third-party cloud hosting providers, PaaS platforms, or SaaS services. The platform cross-references hostnames against an extensive catalog of over 60 cloud services (including AWS S3, Microsoft Azure, Heroku, Vercel, GitHub, Shopify, and Zendesk) and validates whether the resource is unclaimed. It assigns an A through F Subdomain Takeover Susceptibility rating, preventing adversaries from claiming abandoned cloud assets to host malicious portals under trusted corporate domains.
Detailed Assessment Example 3: Non-Human Identity (NHI) and Leaked Cloud Secret Assessment: ThreatNG evaluates external exposure variables—including open non-standard ports, accessible environment variables, public cloud configurations, and unvetted webhook endpoints—to locate exposed programmatic machine identities and API tokens. It computes an NHI Exposure Rating (A through F) to help teams identify and revoke exposed AWS IAM keys, Azure service principal credentials, and GCP service tokens before threat actors use them to access backend cloud infrastructure.
Detailed Assessment Example 4: Known Vulnerability Exposure Verification (KVEV) on Cloud Workloads: When ThreatNG discovers an internet-facing cloud workload, gateway, or application portal, the KVEV engine performs live, unauthenticated checks. It verifies public reachability, checks for presence on the CISA KEV catalog, calculates 30-day EPSS weaponization probabilities, and cross-references active exploit scripts in DarCache eXploit. This differentiates harmless, patched banners from actively weaponized, internet-facing cloud entry points.
Detailed Assessment Example 5: Web Application Control and Insecure Header Analysis on Cloud Endpoints: ThreatNG inspects public application endpoints across all discovered subdomains for missing or weak HTTP security headers—specifically evaluating subdomains missing Content-Security-Policy (CSP), HSTS, X-Content-Type-Options, and X-Frame-Options. It generates an A through F Web Application Hijack Susceptibility rating to verify whether a cloud web property is vulnerable to client-side script injection, clickjacking, or data exfiltration.
Strategic Reporting
ThreatNG standardizes cloud exposure communication by converting raw external discoveries, infrastructure graphs, and technical risk metrics into structured, auditable records for technical practitioners, executive leadership, and compliance auditors.
Executive Security Ratings Reports: ThreatNG converts complex cloud vulnerability metrics, exposed configurations, and digital risk indicators into standardized A through F security ratings across categories including Cyber Risk Exposure, Data Leak Susceptibility, Supply Chain & Third Party Exposure, and Non-Human Identity (NHI) Exposure. This enables CISOs to present empirical exposure trends and cloud risk reduction metrics directly to executive boards.
Correlation Evidence Questionnaires (CEQs): ThreatNG dynamically generates Correlation Evidence Questionnaires based on confirmed external discovery and assessment results. The CEQ acts as an EASM-to-Audit Translation Layer, transforming unauthenticated outside-in discoveries into targeted, auditable inquiries mapped directly to regulatory frameworks across four functional pillars: Technical, Strategic, Operational, and Financial.
Defensible Regulatory Compliance Mapping: ThreatNG maps discovered cloud exposures, open storage containers, and leaked secrets directly to key regulatory frameworks and reporting mandates, including NIST SP 800-53, SEC Form 8-K material breach disclosure rules, FedRAMP, HIPAA, GDPR, PCI DSS, ISO 27001, and SOC 2.
U.S. SEC Cybersecurity Disclosures Report: The report aligns an organization's public regulatory filings (such as Form 10-K Item 106 and Form 8-K Item 1.05 disclosures) with the verifiable technical reality of its external attack surface and active cloud exposures. It eliminates the "Disclosure Disconnect" and protects corporate officers from personal liability regarding undisclosed material risks.
Forensic Evidence Packages: When ThreatNG verifies an active cloud vulnerability, open cloud storage bucket, lookalike domain, or dangling DNS record, it generates a detailed forensic evidence package containing technical markers, DNS resolution histories, HTTP response headers, affected URLs, and proof of ownership to support engineering remediation and legal attribution.
Continuous Monitoring
Because cloud infrastructure expands continuously through rapid CI/CD deployments and configuration drift occurs frequently, periodic manual assessments leave massive exposure windows. ThreatNG delivers 24/7 continuous external surveillance across the extended digital footprint.
The platform tracks asset state changes, newly registered subdomains, modified DNS records, fresh certificate issuances, and emerging cloud exposures in real time. Automated real-time observation captures access policy drift immediately: if an engineer temporarily makes an Amazon S3 bucket, Azure Blob container, or Google Cloud Storage bucket public to test a file transfer and forgets to revert the policy, ThreatNG detects the configuration drift instantly and sends an automated alert to minimize the active window of exposure. Furthermore, ThreatNG incorporates its Overwatch capability—a cross-entity vulnerability intelligence system that instantly evaluates exposure across an entire portfolio of subsidiaries, business units, and supply chain partners whenever a major cloud service flaw or zero-day CVE is disclosed, identifying every affected external asset within seconds.
Investigation Modules
ThreatNG features specialized investigation modules that allow security analysts to investigate discovered infrastructure, trace developer leaks, and evaluate the full technical context of cloud and SaaS exposures.
Detailed Module Example 1: Cloud and SaaS Exposure Module (SaaSqwatch): This module investigates public cloud storage environments and unauthenticated SaaS deployments. It actively scans for exposed open cloud buckets and data repositories across AWS S3, Azure Blob, Azure Data Lake, and Google Cloud Platform, while identifying unsanctioned SaaS tools (Shadow IT) and AI agents employees use without security oversight. By detecting open storage containers and unvetted SaaS applications from the outside-in, it allows security teams to close unauthenticated entry points before adversaries index them.
Detailed Module Example 2: Sensitive Code Exposure Module: ThreatNG continuously monitors public code repositories (such as GitHub, GitLab, and Bitbucket) and paste sites for leaked corporate secrets. This module uncovers hardcoded AWS access keys, Azure service principal credentials, GCP service account tokens, private SSH keys, and database connection strings committed by internal developers or third-party contractors. ThreatNG provides exact commit URLs, author metadata, and repository timestamps to confirm valid leaks and neutralize cloud programmatic credentials before threat actors use them to access cloud consoles.
Detailed Module Example 3: The DarChain Exploit Path Mapping Engine: DarChain (Digital Attack Risk Contextual Hyper-Analysis Insights Narrative) chains isolated technical, credential, and cloud exposures into predictive attack graphs. For example, DarChain maps how an attacker identifies an unmapped, publicly readable S3 bucket, connects that bucket to a leaked IAM access token found in a public GitHub repository, and routes that access directly to core production database backups, highlighting the exact Attack Path Choke Point needed to sever the path.
Detailed Module Example 4: Domain Intelligence and Subdomain Intelligence Modules: The Domain Intelligence module analyzes DNS records, SSL/TLS certificate chains, and IP infrastructure. Concurrently, the Subdomain Intelligence module catalogs HTTP and HTTPS status codes (100–599) and performs deep Header Analysis, evaluating server version banners and redirect chains on cloud endpoints to identify vulnerable cloud reverse proxies and exposed API gateways.
Detailed Module Example 5: Cybersecurity AI Prompts (DarcPrompt): DarcPrompt packages verified cloud exposure context and attack path discoveries into structured prompt blueprints. Featuring specialized personas—such as Shadow IT and AI, External Attack Paths, and External GRC Assessment—DarcPrompt applies strict architectural constraints that bind the prompt to ThreatNG's proprietary ground truth. Through an Air-Gapped Handoff, security analysts safely copy these blueprints into their internal private enterprise AI systems to draft cloud remediation scripts, IAM policy adjustments, and executive board briefings without exposing sensitive cloud asset data to public AI services.
Intelligence Repositories
ThreatNG centralizes and structures threat intelligence through the DarCache intelligence engine, providing an interconnected dynamic ecosystem that grounds cloud defense in empirical adversary reality:
DarCache Vulnerability & eXploit: Integrates NVD baselines, CISA KEV listings, 30-day EPSS probabilities, and verified PoC exploit pointers to evaluate whether external cloud assets host software flaws that are actively weaponized in the wild.
DarCache Dark Web & Rupture: Scans underground forums, paste sites, and dark web sources for threats to brand assets and personnel, while tracking compromised corporate credentials, session cookies, and data leaks across all domain permutations.
DarCache Infostealer: Parses dark web logs for compromised credentials and live browser session tokens to deliver Legal-Grade Attribution that empowers security teams to neutralize compromised cloud accounts before initial access is attempted.
DarCache Ransomware: Tracks over 70 active ransomware cartels and their specific tactics, techniques, and procedures (TTPs), monitoring threat actor targeting patterns directly against cloud-hosted infrastructure to prevent extortion and data destruction.
DarCache Bug Bounty: Aggregates and analyzes historical bug bounty program disclosures, researcher activity trends, and crowdsourced exploit patterns to evaluate cloud assets and public APIs under active scrutiny by external researchers.
DarCache Mobile: Detects hardcoded access credentials, security keys, and cloud storage URLs within public mobile applications.
DarCache 8-K & ESG: Tracks SEC Form 8-K filings and global ESG violations, providing non-technical governance indicators that correlate with corporate cyber risk and compliance liabilities.
DarCache BIN: Monitors Bank Identification Numbers (BINs) to identify and prevent potential payment card fraud across cloud transactional services.
Cooperation with Complementary Solutions
ThreatNG functions as an external intelligence engine that cooperates seamlessly with complementary solutions across the enterprise governance, risk, and cloud operations ecosystem.
Cooperation with Cloud Security Posture Management (CSPM) and CIEM Platforms: ThreatNG pushes unauthenticated outside-in discovery data—such as discovered shadow cloud subscriptions, exposed cloud storage buckets across AWS, Azure, and GCP, and unmapped subdomains—directly into complementary solutions (internal CSPM and Cloud Infrastructure Entitlement Management platforms). While CSPM audits internal configuration rules across known accounts, ThreatNG provides the external scout data that uncovers rogue cloud environments where CSPM agents and internal API connectors were never deployed.
Cooperation with Cloud Access Security Brokers (CASBs): ThreatNG identifies unsanctioned SaaS applications and shadow cloud platforms discovered via digital exhaust analysis (SaaSqwatch) and shares this inventory with complementary solutions (enterprise CASBs). Security teams use this data to update CASB proxy policies and enforce corporate data loss prevention (DLP) rules across newly discovered third-party services.
Cooperation with Security Orchestration, Automation, and Response (SOAR): ThreatNG delivers pre-correlated Context Objects, verified open cloud bucket alerts, and DarChain attack paths to complementary solutions via an API. When ThreatNG identifies an open S3 bucket or a leaked cloud access key in a public Git repository, the SOAR platform automatically executes containment playbooks, triggering automated cloud CLI commands to apply bucket access blocks, revoking the IAM secret, and opening high-priority Jira tickets for engineering teams.
Cooperation with Cyber Asset Attack Surface Management (CAASM) and CMDBs: ThreatNG feeds external cloud asset inventories, newly discovered cloud subdomains, and shadow IT infrastructure into complementary solutions (CAASM platforms and configuration management databases). IT and cloud operations teams use this feed to reconcile external discoveries against internal records, ensuring that every public cloud touchpoint is assigned an internal owner and brought into central billing and governance.
Cooperation with Security Information and Event Management (SIEM) and Cloud Detection and Response (CDR): ThreatNG feeds discovered external cloud endpoints, threat actor indicators, and open bucket locations into complementary solutions (SIEM and CDR platforms). SOC analysts correlate internal cloud access logs (such as AWS CloudTrail or Azure Activity Logs) against confirmed external exposure points, configuring high-priority detection rules to flag anomalous file downloads or unauthorized API calls from external IP addresses.
Examples of ThreatNG Helping Organizations
Discovering and Securing an Unmanaged, Open Cloud Storage Bucket: An internal analytics team set up an Amazon S3 bucket (marketing-metrics-export) to share customer engagement datasets with an external consultant. The team modified the bucket policy to allow public access and left the bucket out of internal inventory tracking. ThreatNG’s Cloud and SaaS Exposure module discovered the bucket during an unauthenticated external scan, verified that the bucket permitted unauthenticated public reads, and detected unencrypted CSV files containing customer names and email addresses. ThreatNG assigned an F Data Leak Susceptibility score and generated an urgent forensic evidence package. This enabled security operations to enforce AWS Block Public Access on the bucket within hours, preventing adversary automated scraping and eliminating regulatory breach liability.
Neutralizing Leaked Cloud Administrative Keys in a Public Code Repository: A developer working on a multi-cloud automation script accidentally committed an environment configuration file containing active AWS administrative access keys and an Azure service principal secret to a public GitHub repository. ThreatNG’s Sensitive Code Exposure module discovered the repository within minutes of the commit. ThreatNG validated that the keys were active and used DarChain to map their permissions to production database clusters. ThreatNG generated an alert with exact commit timestamps and repository URLs, allowing the cloud engineering team to invalidate the keys and rotate secrets before threat actors could scan the repository and launch unauthorized crypto-mining workloads.
Examples of ThreatNG Working with Complementary Solutions
Working with CSPM and CAASM to Catalog Shadow Cloud Environments: ThreatNG discovers an unmonitored web application hosted on an unlisted Azure subscription during a recursive DNS and certificate crawl. ThreatNG transmits the host IP, domain name, and Azure infrastructure tags to complementary solutions (CAASM and CSPM platforms). The CAASM platform compares the discovery against internal records, identifies that a regional marketing division created the Azure subscription without IT approval, and triggers the CSPM platform to onboard the subscription and immediately apply enterprise baseline security policies.
Working with SOAR and Cloud Firewalls to Remediate Dangling Cloud Subdomains: ThreatNG detects a dangling CNAME record on a corporate subdomain (docs.company.com) pointing to a decommissioned AWS S3 bucket and assigns an F Subdomain Takeover Susceptibility rating. ThreatNG generates a Context Object and transmits the alert to complementary solutions (a SOAR platform). The SOAR platform automatically directs complementary solutions (cloud DNS management systems) to remove the orphaned CNAME record, preventing adversaries from registering the abandoned bucket name and executing a subdomain takeover.
Frequently Asked Questions
How does ThreatNG discover exposed cloud assets without internal API keys or credentials?
ThreatNG functions entirely as an unauthenticated external scout. It continuously evaluates public DNS records, CNAME routing chains, SSL/TLS certificate transparency logs, BGP routing announcements, public code repositories, and internet-facing port handshakes across the open internet, discovering cloud infrastructure and SaaS implementations strictly from an external adversary's viewpoint.
What is the role of SaaSqwatch in cloud exposure management?
SaaSqwatch is ThreatNG’s specialized capability designed for the purely external, unauthenticated identification of an organization’s cloud and SaaS footprint. It monitors public "digital exhaust" to uncover sanctioned applications, unsanctioned Shadow IT, and exposed cloud storage across AWS, Azure, and GCP without requiring internal access or API connectors.
How does ThreatNG cooperate with internal CSPM solutions to secure cloud environments?
ThreatNG acts as an external scout, feeding pre-correlated Context Objects, verified asset inventories, and prioritized risk indicators directly into complementary solutions like CSPMs, CAASM databases, CASBs, SIEM platforms, and SOAR engines. While CSPMs audit known internal environments, ThreatNG discovers shadow cloud subscriptions and unmanaged assets outside internal visibility, enabling complete perimeter reconciliation and rapid automated remediation.
