8 Attack Surface Management Vendors in 2025

As the digital environment grows, so does the potential for threat actors to gain access to underestimated endpoints, improperly configured clouds, or uncontrolled third-party applications. A study reveals that the average cost of recovering from a ransomware attack is $2.73 million, nearly $1 million more than in 2023, which demonstrates the increasing financial impact of cyber threats. Companies understand that occasional or limited scans or inventories are not effective any longer. The importance of real-time, automated discovery of such unknown systems or accidental exposures increases. This approach sits at the core of an attack surface management program, which actively highlights newly introduced endpoints, ephemeral containers, or subdomains before malicious actors exploit them.

ASM, or attack surface management, encompasses scanning, asset inventory, threat intelligence, and risk prioritization. These tasks are accomplished by specialized solutions referred to as attack surface management vendors to ensure continuous monitoring of the environment, which is constantly changing. These solutions help decrease blind spots, shorten the patch cycle time, and assist in meeting compliance requirements by using both external and internal scanning. Whether the setup is entirely cloud-based or hybrid, integrating short-lived growths with conventional on-premises systems, ASM tools help to facilitate all these.

In this article, we will find out:

1. A brief description of what attack surface management is and how it helps mitigate contemporary threats.
2. Strategic reasons for engaging attack surface management vendors for ongoing discovery and more rapid mitigation.
3. A detailed breakdown of eight solutions for 2025, including eight different approaches to scanning, patch orchestration, or analytics.
4. Tips for evaluating the right attack surface management platform to fit your environment’s complexity.
5. A recap of best practices to utilize these solutions for comprehensive protection.

What is Attack Surface Management?

Attack surface management refers to the identification, assessment, and monitoring of all touchpoints that can be targeted by threats, both internal and external. This may include websites that are accessible to the public, cloud resources, network interfaces, IoT devices, or old testing environments. Through the integration of continuous scanning and contextual intelligence, security teams are provided with an almost real-time assessment of which systems are exposed and alert them to misconfigurations or unpatched vulnerabilities. Such an approach underpins an attack surface management program, ensuring every new or changed resource sees consistent coverage. As networks grow and stateful applications and microservices come and go, ASM reduces the chance that an attacker will discover an open door.

The Need for Attack Surface Management Vendors

Organizations perform several changes at once: migrating to serverless, adopting multi-cloud, or partnering with new SaaS providers. In this context, resources emerge and disappear, sometimes concurrently, and not within standard scanning time horizons. That is where the role of attack surface management solutions comes in, providing continuous, 24/7 discovery and risk assessment. According to IBM research, 64% of American consumers think that businesses are to blame for data losses and not hackers—highlighting the reputational damage that occurs after a breach.

1. Unifying Hybrid and Cloud Visibility: When you have environments that are located on AWS, Azure, GCP, and on-premises, the setup can become very complex. ASM connects these viewpoints, searching for short-lived micro-services, test containers, or IPs that remained after a test. However, there are cases when a unified strategy is lacking and coverage gaps remain. In the long run, integrated scanning builds an inventory that serves as a foundation for all subsequent security follow-ups.
2. Early Vulnerability Discovery: Using monthly or quarterly scan results allows vulnerabilities to remain unknown for weeks while attackers can exploit open ports, protocols, or default credentials. ASM tools are set to run frequent or near-continuous scans, and this is to ensure that any newly discovered vulnerabilities are quickly detected. This synergy reduces the vulnerability window considerably, thereby putting the defenders at an advantage. Another step is the automation of patch or reconfiguration tasks that help to make the resolution process even more efficient.
3. Centralizing Data for Compliance: Regardless of the compliance regulation, including PCI DSS, HIPAA, or GDPR, it is critical to ensure all assets are covered. Attack surface management platforms log each discovered endpoint or subdomain, simplifying compliance reporting. They also associate vulnerabilities or misconfigurations with the corresponding parts of regulatory frameworks. By linking the scanning output and compliance requirements, organizations significantly reduce manual work and minimize auditor-related issues.
4. Minimizing Reputational Damage: Since organizations should protect data diligently, brand reputation is at risk after a breach. A strong ASM technique minimizes the likelihood of a public scandal resulting from an S3 bucket or an open database. Most importantly, in case of an incident, the system aids various teams in identifying the source quickly, thus preventing lengthy periods of negative publicity. In the long run, continuous scanning leads to increased consumer trust, which is indicative of sound operational security.
5. Speeding Response and Patch Cycles: Attack surface management vendors usually deliver the discovered weaknesses or misconfigurations directly to the patch management processes. When integrated with ITSM or DevOps programs, details of the vulnerability help speed up the fix. This synergy combines detection and remediation in near real-time to connect older patch cycles that left exposures for months. In the long run, MTTD is reduced, and the overall security position becomes more effective.

Attack Surface Management Vendors in 2025

Here are eight solutions that have emerged for ASM to impact enterprises across the world. Each approaches the domain from different perspectives—external scanning, container, or correlation of threats. By combining them with an overarching attack surface management program, organizations unify discovery, triage, and patch orchestration.

1. SentinelOne Singularity Cloud Security

Singularity™ Cloud Security from SentinelOne provides a holistic CNAPP solution that integrates deep scanning with real-time threat prevention. It covers everything from ephemeral containers to virtual machines, serverless, storage, on-prem, and cloud environments.  SentinelOne’s CNAPP can track dormant/inactive accounts, prevent cloud credentials leakages, and do secret detection. It features Snyk integration and can prevent compliance policy violations. You can adhere to the latest industry regulatory standards like SOC 2, NIST, HIPAA, and others.

With advanced analytics and AI threat intelligence, it can correlate security events and provide deep insights. Now, let’s check out what SentinelOne can do and how it helps.

Platform at a Glance

1. Full Control: The platform offers centralized management for multi-cloud, private data center, or on-premises environments. All resources are presented to operators in a single pane of glass, whether the resources are containers, serverless tasks, or traditional VMs. This wide approach helps to identify new instances rapidly from the overall pool of possible uses. Through the conjunction of short-lived expansions and long-standing resources, security groups reduce the possibility of blind areas.
2. Real-Time Response: In case of a misconfiguration or an identified CVE, the platform coordinates an efficient rectification process. On the other hand, there are local AI-based blockers that act as barriers to these suspicious processes, preventing them from penetrating deeper into the system. This integration combines scanning with runtime detection so that the discovered vulnerabilities cannot remain dormant. In the long run, this creates a culture where problems are addressed almost immediately and flaws are constantly fixed.
3. AI-Driven Threat Intelligence: The solution links vulnerabilities to exploitation patterns for risk-based prioritization of patches. It detects sophisticated intrusion attempts within minutes based on container logs, file writing, or network traffic analysis. This synergy greatly helps to reduce the cases of false positives, allowing teams to concentrate on real threats. In summary, the system improves the detection logic while being sensitive to changes in the environment.

Features:

1. Autonomous AI-Based Engines: Block suspicious container or VM behaviors in real-time.
2. Secret Scanning: Detect and notify when sensitive keys or credentials are accidentally exposed within images or code repositories.
3. Cloud Posture Posture Management (CSPM): Scan AWS, Azure, or GCP to check for misconfigurations.
4. Graph-based inventory: Visualize resources and their dependencies for simpler root-cause analysis.
5. Infrastructure-as-Code Scanning: Identify and monitor misconfiguration risks before they reach the production environment.

Core Problems That SentinelOne Addresses:

1. Checks resource consumption and can prevent assets from being overused or misused.
2. Can fix cloud security misconfigurations and provide workload protection.
3. Can fight against ransomware, malware, phishing, keylogging, social engineering, and other forms of cyber threats.
4. Can automatically apply patches and updates, and detect new vulnerabilities in real-time.
5. Reduces manual overhead or false positives for the development and security teams.
6. Integrates advanced analytics and prevents zero-day attempts and data breaches; SentinelOne can also rollback unauthorized changes and backup data.

Testimonials:

“Singularity Cloud’s ability to create custom correlation searches and reduce noise is highly valuable. ”  

“As a senior IT security director, I oversee the governance and guidance of security deployments, including the development and implementation of use cases. My primary guiding principle, which is shared by my team, is to prioritize visibility. This translates into our use of SentinelOne Singularity Cloud Security to gain comprehensive visibility across our hybrid infrastructure, including cloud, on-premises, and end-user workstations. Ultimately, visibility is the main driver of our security strategy.”

• Mike Bulyk (IT Security Director at Athletic & Therapeutic Institute of Naperville, LLC)

See how users trust SentinelOne to identify and secure exposed assets, as highlighted on  Gartner Peer Insights and Peerspot. 

2. Trend Vision One – Cloud Security

Trend Vision One is a solution that integrates multi-cloud scanning, threat detection, and container analysis. It connects to provider APIs to identify temporary or recently created workloads and ranks them based on threat intelligence to prioritize issues for remediation. It also focuses on residual subdomains or misconfigurations that may not be easily identified, thus maintaining the security structure in AWS, Azure, and GCP.

Features:

1. Continuous Cloud Inventory: Follows AWS, Azure, and GCP growth over time, including short-lived resources in real-time.
2. Container Security: Analyzes Docker images and logs of the orchestrator based on known vulnerabilities.
3. Runtime Anomaly Detection: Combines static scan with real-time blocking to detect suspicious process activity.
4. Compliance Reporting: Identifies misconfigurations in relation to frameworks such as PCI or HIPAA and generates reports.

See how users rate Trend Vision One on Peerspot.

3. Mandiant Advantage

Mandiant Advantage connects external attack surfaces with threat intelligence to identify potentially malicious or suspicious domains, subdomains, and partner connections. It identifies unknown endpoints through global IP scans, aligns its results with known TTPs from its incident response history, and also shows how newly discovered vulnerabilities are connected to known threat actors. The integration of domain analysis and curated intelligence is to improve on risk assessment and the probability of detection.

Features:

1. Global Domain Scanning: Surveys the internet for brand impersonations, subdomains, or rogue services.
2. Threat Actor Correlation: Links found vulnerabilities to attacker groups that exploit such weaknesses.
3. Asset Tagging: Combines host information with possible risks for targeted patching.
4. Incident Context: Indicates potential attacker approaches if the identified problems are exploited.

Discover what users say about Mandiant Advantage on Peerspot.

4. CrowdStrike Falcon

CrowdStrike Falcon integrates endpoint protection and external asset scan by correlating endpoint activity with the system data. It consolidates event messages, maps them to existing threat intelligence, and sends real-time notifications on newly discovered threats or affected endpoints. This approach combines internal and external coverage in one place, with one view and automated solutions for resolving issues.

Features:

1. Agent-Based Endpoint Telemetry: Incorporates the data collected from the endpoint and other scans for evaluation.
2. Cloud Integration: Links to AWS or Azure logs, identifies temporary changes, and verifies security controls.
3. Threat Intel Feeds: Compares the identified exposures to known tactics of the attacker for prioritization of patching.
4. Auto-Remediation: Initiates partial or full patch tasks when a confirmed vulnerability is identified.

Check how users review CrowdStrike Falcon on Peerspot.

1. Microsoft Defender External Attack Surface Management

The external ASM solution of Microsoft Defender aims at identifying subdomains, misconfigurations, and exposed services that could lead to infiltration. It uses Azure resource data to identify new or changed endpoints, correlate them with other Defender insights, and make risk-driven decisions. It integrates with the rest of the Azure security stack, allowing fixes or reconfigurations in environments dependent on Microsoft services.

Features:

1. External Asset Enumeration: Scans DNS records, certificates, and IP ranges for newly discovered endpoints.
2. Azure Synergy: Integrates with Azure Resource Manager for scanning in cloud-heavy deployments.
3. Threat-Driven Prioritization: Aligns exposures to known campaigns for threat remediation.
4. Simplified Policy Enforcement: It gives automated remediation steps that are compatible with the Azure security tools.

See what users think of Defender EASM on Peerspot.

6. Bitsight

Bitsight concentrates on cybersecurity ratings and external scanning to provide an analytical risk figure for an organization. It is constantly scanning for missing patches, publicly disclosed misconfigurations, or compromised services outside of the company. These insights enable the creation of benchmarks for comparison within an industry vertical and for third-party risk management. It alerts teams as soon as there are changes in the ratings or additional exposures that require attention.

Features:

1. Security Ratings: Calculates risk based on the scans and previous attacks.
2. Vendor Management: Includes coverage with third parties, showing supply chain risks.
3. Benchmarking: Compares the organization’s score to industry norms for context in risk decisions.
4. Auto Alerts: Alerts teams when the ratings go low or when there are new exposures that require patching.

Find out how users rate Bitsight for risk insights on Peerspot.

7. Tenable Attack Surface Management

Tenable Attack Surface Management identifies external assets, identifies subdomains, and scans containers and extends to traditional vulnerability assessments. It integrates with Tenable’s main offerings, such as Nessus for analysis, and gathers unidentified endpoints or misconfigured ones in one interface. This approach aligns newly discovered assets with existing CVEs, enabling patching.

Features:

1. Continuous External Scans: Periodically scans the organization’s public face and domains, and IP addresses.
2. Depth in Vulnerability Detection: This builds on Tenable’s current scanning solutions for a detailed diagnosis.
3. Policy Integration: Compares discovered assets against internal standards and prioritizes the fixes.
4. Single Pane of Glass: It is a consolidation of external and internal scanning that may help avoid the exclusion of endpoints.

Explore how users review Tenable ASM on Peerspot.

8. IBM Security Randori Recon

IBM’s Randori Recon is an external attack surface mapping tool that also offers brand domain checks and constant checks on infiltration points. It searches for global IP ranges and domain records, identifies new subdomains or exposed services, and sorts them by adversary interest. This approach focuses on identifying weak areas that an attacker could leverage and integrating them with IBM’s other solutions, providing enhanced correlation and incident handling.

Features:

1. Unrecognized resources: Identifies older development servers or subdomains that have not been listed in inventories.
2. Risk Prioritization: Determines exposures against adversary interest or popular exploit methods.
3. Domain and SSL Tracking: It keeps track of changes in certificates and new domains to prevent impersonation.
4. Integration with IBM Security: Puts findings into the IBM toolset for correlation, response, or compliance.

Learn what users say about Randori Recon on Peerspot.

Key Criteria for Choosing an Attack Surface Management Vendor

Selecting the right attack surface management platform demands balancing environment complexity, integration needs, and available resources. Each of them can serve various purposes, such as container security or brand tracking. Let us take a closer look at five criteria that will help you make your choice:

1. Coverage of Hybrid and Multi-Cloud: If your environment includes AWS, Azure, GCP, and on-premise servers, verify that the vendor effectively manages these footprints. Some of the solutions are focused on external scanning and do not take into account ephemeral container expansions. Some stand out for their multi-cloud integration, connecting to each cloud’s API for real-time scanning. Ensure that there is comprehensive coverage and that there are no gaps or “unknown unknowns” left uncovered.
2. Ability to Prioritize Risks: Finding thousands of possible problems may overwhelm the staff. An effective tool integrates vulnerability information with the frequency of the exploit, value of the asset, or the likelihood of an incident. This synergy fosters action on the highest risk items first. If you do not prioritize your work, you may end up spending most of your time chasing ghosts or covering up minor issues while more significant vulnerabilities are lurking in the shadows.
3. Integration with Existing Security Stack: A lot of teams use different SIEM, ITSM, or EDR solutions. Confirm that the attack surface management best practices revolve around hooking scanning outputs into these existing workflows. For example, does the platform generate standardized logs that are sent to your SIEM? In case you follow DevSecOps, can the ASM tool prevent merges or re-roll containers when it identifies critical vulnerabilities?
4. Agentless vs. Agent-Based: Agent-based solutions can provide more detailed views down to the OS level, but using ephemeral containers or third-party systems can be incompatible with them at times. The use of agentless scanning results in quick adoption, particularly for external scanning activities. Determine if you require deep endpoint telemetry for your use case or if the external vantage point is sufficient. Some of the solutions are flexible and contain elements of both approaches.
5. Reporting and Compliance: Management and auditors always expect the organization to demonstrate that they scan their environment and act on the issues that are found. Search for compliance mappings or automated compliance solutions, templates, or compliance dashboards related to the specific role. Tools that provide brief executive risk assessments can also assist others who may not understand risk in terms of the overall risk profile. In the long run, integrated compliance enhances the levels of trust with regulators and customers.

Conclusion

As the attack surface grows to encompass multi-cloud workloads, containers, and other short-lived development environments, new strategies for scanning and risk-based vulnerability prioritization are required. Attack surface management vendors consolidate real-time discovery, vulnerability identification, and targeted remediation, which means that dwell time for unwatched or unaltered endpoints is kept to a minimum. Integrating such solutions with existing security frameworks enhances synergy by connecting short-lived expansions with older on-premises systems. Finally, the use of an ASM platform offers the nearly immediate positioning that is required to address sophisticated intrusion operations or new threats that have yet to be discovered.

Each of the eight solutions described here has its advantages, and a comprehensive, layered strategy helps you detect everything from subtle subdomains to container images. When used in conjunction with an attack surface management vendor’s thorough scanning, you are provided with an all-encompassing, top-to-bottom shield.

Ready to augment your attack surface management program with real-time detection and response? Request a free demo of SentinelOne today to find out how our features fit into your ASM platform for round-the-clock protection that cannot be stopped.