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What Is Attack Surface Management (ASM)? 

Attack Surface Management (ASM) is the continuous process of discovering, analyzing, prioritizing, and remediating security vulnerabilities across an organization’s digital assets from an attacker’s perspective. It maps all internal/external assets, including cloud, IoT, and “shadow IT,” to eliminate blind spots and reduce risk exposure.

Core components of attack surface management:

  • Asset discovery: Identifying all internet-facing, known, unknown, and third-party assets.
  • Vulnerability assessment: Scanning for misconfigurations, weak encryption, and missing patches.
  • Prioritization: Ranking risks based on exploitability and business impact.
  • Remediation: Patching or mitigating identified exposures.

Types of attack surface management:

  • Internal attack surface management: Focuses on assets and security issues inside the organization’s network.
  • External attack surface management (EASM): Focuses on internet-facing assets like websites, domains, and IP addresses.
  • Cyber asset attack surface management (CAASM): Focuses on the security posture of internal systems and data.
  • Physical/social engineering surface management: Addresses risks from human factors and physical access.

What Is an Attack Surface? 

An attack surface includes all the points where an unauthorized user, such as a hacker, could attempt to enter, extract data, or compromise an organization’s systems. This includes hardware, software, network services, cloud assets, endpoints, user accounts, APIs, and any externally facing infrastructure. The attack surface evolves as organizations adopt new technologies, integrate third-party solutions, and expand their digital footprint.

Reducing the attack surface is a key security objective, as a larger or poorly managed attack surface increases the chances of successful exploitation. Attackers often target overlooked or poorly maintained assets, such as forgotten servers, misconfigured databases, or unpatched applications.

Key Benefits of ASM 

Attack surface management  helps organizations address threats in complex digital environments. By continuously mapping and analyzing exposures, ASM strengthens security posture and improves operational efficiency:

  • Full visibility: Gain a comprehensive, real-time view of all assets across the environment, including cloud resources, shadow IT, third-party integrations, and forgotten or unmanaged systems. This eliminates blind spots that attackers often exploit.
  • Proactive defense: Identify vulnerabilities and misconfigurations before they can be leveraged by attackers. ASM shifts security from reactive to proactive, allowing teams to address risks early rather than responding after a breach.
  • Reduced risk: Continuously monitor and remediate exposures to minimize the organization’s overall attack surface. By closing security gaps quickly, ASM lowers the likelihood and potential impact of successful attacks.
  • Contextual prioritization: Focus on what matters most. ASM helps security teams prioritize vulnerabilities based on real-world risk, exploitability, and business impact, ensuring resources are allocated efficiently and critical issues are addressed first.
  • Continuous monitoring: Keep pace with dynamic environments through automated, ongoing discovery and assessment. ASM ensures new assets and risks are identified as soon as they appear.
  • Improved security posture: Maintain a stronger, more resilient defense by consistently aligning visibility, risk management, and remediation efforts.
  • Faster incident response: With better asset awareness and risk context, security teams can respond more quickly and effectively when incidents occur.
  • Support for compliance and governance: Maintain up-to-date inventories and risk insights that help meet regulatory requirements and demonstrate security best practices.

Core Components of Attack Surface Management 

1. Asset Discovery

Asset discovery is the first step in ASM. It involves identifying all assets connected to an organization’s network or cloud environment. This includes devices, applications, databases, APIs, and shadow IT resources that may not be sanctioned by IT. Asset discovery requires automated tools that scan internal and external environments and continuously update inventories as assets are added or removed.

A complete asset inventory helps organizations understand their attack surface at any given time. Without this visibility, critical assets can be overlooked, leading to unmanaged vulnerabilities and increased risk. Asset discovery should be ongoing, as IT environments change frequently.

2. Vulnerability Assessment

Once assets are identified, vulnerability assessment involves scanning them for security weaknesses. This process uses automated tools to detect known vulnerabilities, misconfigurations, and outdated software. The goal is to identify issues before attackers exploit them.

Vulnerability assessments must be conducted regularly, as new vulnerabilities are discovered and assets are updated or added. The results feed into prioritization and remediation workflows, ensuring that the most critical risks are addressed. Integrating vulnerability assessment into ASM supports proactive risk management and helps organizations maintain a strong security posture.

3. Prioritization

Prioritization ranks identified vulnerabilities and risks based on their potential impact and exploitability. Not all vulnerabilities are equal; some pose immediate threats, while others are less likely to be exploited. ASM solutions use contextual data, such as asset criticality, exposure level, and threat intelligence, to help security teams focus on the most pressing risks.

Effective prioritization ensures that limited security resources are used efficiently. By addressing high-impact vulnerabilities first, organizations can reduce risk and limit exposure to critical weaknesses. Prioritization requires continuous reevaluation as new threats and assets emerge.

4. Remediation

Remediation involves eliminating or mitigating identified risks. This can include applying security patches, reconfiguring systems, decommissioning unused assets, or implementing compensating controls. ASM platforms often integrate with ticketing and workflow systems to automate remediation tasks and track progress.

Remediation must be timely to reduce the window of vulnerability. Delays can leave organizations exposed to exploitation. Integrating remediation into the ASM workflow helps ensure that risks are addressed and actions are documented for audit and compliance purposes.

Lanir Shacham
CEO, Faddom

Lanir specializes in founding new tech companies for Enterprise Software: Assemble and nurture a great team, Early stage funding to growth late stage, One design partner to hundreds of enterprise customers, MVP to Enterprise grade product, Low level kernel engineering to AI/ML and BigData, One advisory board to a long list of shareholders and board members of the worlds largest VCs

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Tips from the Expert

In my experience, here are tips that can help you better mature attack surface management into a practical security capability:

  1. Define asset legitimacy states: Classify discovered assets as approved, tolerated, unknown, abandoned, or prohibited. This makes ASM actionable because teams know whether to secure, investigate, decommission, or block each asset.

  2. Track exposure age, not just exposure severity: A medium-risk exposure that has been public for 18 months may deserve more urgency than a new high-risk finding. Long-lived exposure often signals weak ownership, forgotten systems, or poor remediation discipline.

  3. Create ownership fallback rules: Many ASM programs stall when no one owns an asset. Define fallback ownership based on domain, cloud account, cost center, deployment pipeline, DNS zone, certificate requester, or last known administrator.

  4. Use attacker workflows to validate findings: Do not stop at “port open” or “vulnerability found.” Ask what an attacker could realistically do next: enumerate users, bypass authentication, access data, pivot internally, or impersonate a trusted service.

  5. Measure unknown-to-owned conversion rate: One of the strongest ASM maturity metrics is how quickly newly discovered unknown assets become assigned, classified, and governed. This shows whether discovery is turning into control.

Types of Attack Surface Management Tools 

Internal Attack Surface Management

Internal attack surface management focuses on assets and vulnerabilities within an organization’s internal network. This includes endpoints, servers, internal applications, and network devices that are not directly accessible from the internet. Tools in this category scan for misconfigurations, unpatched software, and unauthorized devices.

Internal ASM:

  • Helps identify lateral movement opportunities that attackers may exploit after gaining initial access. 
  • Enables security teams to detect and address issues like open network shares, weak access controls, and legacy systems. 
  • Complements perimeter defenses by addressing threats that originate inside the organization.

External Attack Surface Management (EASM)

External attack surface management focuses on assets and vulnerabilities exposed to the internet, such as web applications, cloud resources, DNS records, and third-party services. EASM is important for organizations with a large or distributed digital presence, as external exposures are often the first targets for threat actors. 

These tools:

  • Continuously scan for new, forgotten, or misconfigured internet-facing assets.
  • Monitor for data leaks, exposed credentials, and other indicators of compromise on the public web and dark web. 
  • Help organizations maintain visibility into their public-facing attack surface.

Cyber Asset Attack Surface Management (CAASM)

Cyber asset attack surface management aggregates data from various security and IT management tools to provide a unified view of all cyber assets. CAASM platforms integrate with systems such as vulnerability scanners, configuration management databases (CMDBs), and cloud management tools to centralize asset data and reduce blind spots.

By consolidating asset information, CAASM: 

  • Enables comprehensive asset visibility and contextual risk assessment. 
  • Supports better decision-making and remediation.
  • Ensures that all assets are included in the attack surface management process.

Physical and Social Engineering Surface Management

Physical and social engineering surface management targets the human and physical elements of an organization’s attack surface. This includes: 

  • Assessing the risk of unauthorized physical access, such as unsecured entrances or poorly managed badge systems.
  • Testing employee susceptibility to phishing, pretexting, and other social engineering tactics.

By addressing these nontechnical attack vectors, organizations can strengthen security beyond digital defenses. Regular security awareness training and physical security audits are key components of this approach. Integrating physical and social engineering risk assessments into ASM provides a broad view of organizational vulnerabilities.

Examples of Attack Surface Management Focus Areas 

Shadow IT

Shadow IT refers to technology systems, applications, or services used within an organization without explicit IT approval or oversight. These assets often arise when employees deploy cloud applications, storage solutions, or development tools independently to meet business needs. While shadow IT can increase productivity, it also expands the attack surface.

Unmanaged shadow IT assets may lack adequate security controls, be misconfigured, or run unpatched software, making them targets for attackers. ASM tools help organizations detect and inventory shadow IT by continuously scanning for unknown assets and services. Bringing these resources under centralized management reduces risk and supports compliance with security policies.

Example:

An employee begins using an unapproved cloud file-sharing service to collaborate with contractors. The service contains internal documents but is not monitored by IT. An ASM tool discovers the application and identifies publicly shared folders, allowing the organization to secure the data and bring the service under management.

Misconfigured Cloud Storage

Misconfigured cloud storage results from improper setup of cloud storage buckets or containers, such as Amazon S3 or Azure Blob Storage. Common misconfigurations include public read or write access, lack of encryption, and weak access controls, which can expose sensitive data to the internet. Attackers frequently scan for misconfigured cloud storage to steal data or deploy ransomware.

ASM platforms identify and alert on misconfigured cloud storage resources, enabling organizations to remediate issues before exploitation. Regular reviews and automated checks of cloud configurations are necessary to maintain a secure cloud environment. Addressing misconfigurations quickly helps prevent data breaches and supports regulatory compliance.

Example:

A company stores backups in a cloud storage bucket that is accidentally configured for public access. An ASM platform detects the exposure during a routine scan, enabling the security team to restrict access before sensitive data is exposed.

Vulnerable Web Applications

Web applications are frequent targets due to their accessibility and potential for sensitive data exposure. Common vulnerabilities include SQL injection, cross-site scripting (XSS), and insecure authentication mechanisms. These weaknesses can allow attackers to gain unauthorized access, manipulate data, or disrupt services.

ASM tools scan web applications for known vulnerabilities and configuration issues, providing remediation guidance. Regular security testing and prompt patching reduce risk. Organizations should integrate web application security into their ASM strategy to ensure publicly accessible applications are monitored.

Example:

An online customer portal contains a SQL injection vulnerability introduced during a software update. ASM tools identify the flaw and flag the application as high risk because it processes sensitive customer information. The issue is quickly patched.

Expired Certificates

Expired certificates occur when digital certificates used for encryption and identity verification are not renewed before their validity period ends. These certificates are commonly used in HTTPS, TLS connections, APIs, and internal services to secure communication. When a certificate expires, it can disrupt services, trigger browser warnings, or force systems to fall back to insecure connections.

Expired certificates create gaps in trust. Users may ignore warnings and proceed, increasing exposure to man-in-the-middle attacks. In some cases, expired certificates can indicate poor asset management or forgotten services that attackers may target. ASM tools identify certificates across the environment and track their expiration dates. 

Example:

A TLS certificate protecting a customer-facing API expires because it was not renewed on time. The ASM platform identifies the expired certificate, allowing administrators to restore secure communications before significant service disruption occurs.

Best Practices for Effective Attack Surface Management 

Organizations should incorporate the following practices into their attack surface management strategies.

1. Achieve Complete Asset Visibility

Organizations need a single, accurate inventory of all assets across on-premises, cloud, and third-party environments. This includes known systems and unmanaged assets such as shadow IT. Automated discovery tools should continuously scan and update this inventory to reflect changes. Visibility should extend beyond infrastructure to include applications, APIs, identities, and data stores. Integrating multiple data sources, such as cloud providers, endpoint tools, and configuration systems, helps build a complete picture.

How to implement:

  • Deploy automated discovery tools to continuously identify assets across on-premises, cloud, SaaS, and third-party environments.
  • Consolidate asset data from sources such as CMDBs, cloud platforms, endpoint management tools, and identity providers into a centralized inventory.
  • Establish processes to classify newly discovered assets and assign ownership to ensure accountability and governance.

2. Map Your Attack Surface with Context

Asset data should be enriched with context such as ownership, business function, exposure level, and criticality. This helps teams understand asset relationships and identify high-risk areas. Context also includes relationships between assets, such as which systems are internet-facing and which connect to sensitive data.  Mapping these relationships helps uncover potential attack paths. Contextual mapping supports risk-based decision-making by aligning technical findings with business impact.

How to implement:

  • Enrich asset inventories with metadata such as business owner, criticality, data sensitivity, and exposure status.
  • Document relationships between assets, including dependencies between applications, databases, APIs, and cloud services.
  • Use attack path analysis to identify how exposed assets could be used to reach critical systems or sensitive data.

3. Continuously Monitor the Environment

IT environments change as new assets are deployed and configurations are updated. Continuous monitoring ensures these changes are detected. ASM tools should provide ongoing updates on asset exposure, vulnerabilities, and misconfigurations. Monitoring should include automated alerts for newly discovered assets, configuration drift, and changes in exposure status. This approach reduces the time between risk introduction and detection and allows organizations to respond before weaknesses are exploited.

How to implement:

  • Configure ASM tools to perform continuous discovery and alert on newly exposed or unmanaged assets.
  • Monitor for configuration drift, unauthorized changes, and newly introduced vulnerabilities across the environment.
  • Integrate ASM alerts with security operations and ticketing platforms to accelerate investigation and response.

4. Identify and Prioritize Risks Based on Real Impact

Not all vulnerabilities require immediate action. Effective ASM focuses on risks that are exploitable and impactful to the business. Prioritization should consider asset criticality, internet exposure, known exploits, and threat intelligence. Risk scoring models can combine technical severity with business context. This ensures that critical assets with moderate vulnerabilities may receive higher priority than low-value systems with severe issues. Focusing on high-risk issues helps teams use resources efficiently and reduce overall risk.

How to implement:

  • Use risk scoring models that combine vulnerability severity, asset criticality, exposure level, and threat intelligence.
  • Prioritize assets that are internet-facing, contain sensitive data, or support critical business processes.
  • Regularly review prioritization criteria to ensure they reflect current business objectives and threat conditions.

5. Monitor Network Traffic for Anomalies

Attack surface management should be complemented by monitoring network traffic for unusual patterns. This includes unexpected connections, data exfiltration attempts, or communication with known malicious endpoints. Monitoring relies on establishing a baseline of normal traffic behavior and identifying deviations.  This can include spikes in outbound traffic, unusual access times, or connections between systems that do not usually communicate. Analyzing traffic helps detect active threats that bypass preventive controls. 

How to implement:

  • Establish baselines for normal network behavior and use monitoring tools to detect deviations from expected patterns.
  • Monitor for indicators such as unusual outbound traffic, unexpected system communications, and connections to known malicious destinations.
  • Integrate network monitoring data with ASM findings to validate risks and identify potentially compromised assets more quickly.

Managing Your Attack Surface with Faddom

You can’t protect what you can’t see, and a single unknown connection can become an attacker’s entry point. Faddom is an agentless, non-intrusive application dependency mapping platform that gives organizations real-time, complete visibility into their network connections and dependencies, mapping all on-prem servers, cloud instances, applications, and traffic flows in under 60 minutes. By exposing the hidden dependencies, misconfigurations, and untracked assets that quietly expand the attack surface, Faddom helps security teams strengthen their security posture and maintain compliance without deploying agents or impacting system performance.

Key capabilities of Faddom:

  • Complete real-time visibility: Continuously maps every server, application, and connection across hybrid environments, eliminating the blind spots, like unmapped ports and undocumented services, that attackers exploit.
  • Risk-based prioritization: A unique scoring mechanism simplifies complex network activity into actionable insights, ranking risks by severity so teams address the most critical threats first.
  • Shadow IT discovery: Surfaces untracked assets, unauthorized tools, and unexpected connections so they can be brought under management before they become exposures.
  • SSL certificate management: Identifies which certificates and protocols are in use across the environment and flags certificate expiration dates and insecure protocols.
  • CVE and lateral movement detection: Pinpoints vulnerable servers and exposed pathways attackers could use to move east-west through the network after gaining initial access.
  • Lighthouse AI traffic anomaly detection: A deep learning engine that learns your environment’s normal behavior and detects abnormalities such as DoS and MITM attacks, DNS spoofing, port scanning, and data exfiltration, while minimizing alert noise.

Schedule an IT consultation with Faddom’s expert team to see how real-time visibility can shrink your attack surface and transform your network security. Learn more about Faddom for network security.