What Is Attack Surface Management? A Complete Guide To ASM

Key Takeaways

  • Your attack surface is bigger than you think: Cloud, SaaS, mobile, hybrid work, and third-party vendors have created a sprawling, ever-changing set of digital exposures, making ASM essential for visibility and control.
  • Continuous, proactive management is critical: Attack surface management means security teams can discover, prioritize, and remediate risks in real time, minimizing the window of opportunity for attackers.
  • Integrated tools and automation are must-haves: Effective ASM combines automated asset discovery, risk-based prioritization, and seamless integration with existing security workflows to help teams stay ahead of evolving threats.

ASM Is no longer optional. The number of entry points into your organization is infinite. Cloud infrastructure, SaaS apps, mobile devices, hybrid work, and third-party vendors have all contributed to a sprawling and often invisible digital footprint — what’s known as the attack surface.

That expansion isn’t slowing down. On average, 100+ new vulnerabilities emerge every day, creating an overwhelming burden on already stretched security teams. And those are the vulnerabilities we know about!

This is where attack surface management (ASM) comes in.

Defining attack surface management

Attack Surface Management (ASM) is the continuous process of discovering, monitoring, evaluating, and reducing all the exposure points across your digital ecosystem. The goal is simple: make the attack surface visible and manageable, so attackers don’t find the gaps before you do.

ASM helps answer questions like:

ASM gives security teams the context and control needed to proactively manage risk, and not just respond after the fact. With threat actors exploiting weaknesses faster than ever, ASM helps shift organizations toward a more resilient, prevention-first security posture.

Overview: What is the attack surface?

An attack surface is the sum total of all possible ways an attacker could gain access to your environment, whether through exposed infrastructure, human error, unmonitored third-party tools, or forgotten test servers.

It includes every internet-facing asset, every internal system or endpoint, every third-party integration, every single human entry point. In short: your attack surface is not only about technology, it’s about anything that could be exploited to compromise your business.

 see primer on what constitutes an attack surface: What Is an Attack Surface?

Attack surface vs. attack vector

An attack surface is what’s exposed. An attack vector is how it’s attacked. ASM focuses on reducing exposed assets, thereby limiting attacker options.

Why ASM matters now

Every year, organizations grow more connected — and more exposed. According to recent industry reports:

With digital infrastructure evolving faster than security practices, it’s easy to lose visibility over what’s live, what’s vulnerable, and what’s connected. ASM helps close that visibility gap.

Without ASM, most organizations are flying blind across parts of their infrastructure, leaving shadow assets and outdated systems exposed to increasingly automated and opportunistic attackers.

Benefits of attack service management

What ASM looks like in practice: A four-stage lifecycle

ASM isn’t a one-time scan or an annual audit. It’s a continuous lifecycle designed to help organizations stay ahead of risk. Your ASM program can be custom to your organization, and should include these four key stages:

Phase 1. Discover

Step one is to understand all your assets. Inventory all internet-facing and internal assets, including:

Example: A development team spins up a temporary cloud environment that gets indexed by search engines. Discovery ensures it gets flagged, even if IT wasn’t informed. That cloud environment expands the attack surface.

Phase 2. Classify & prioritize

Not all risks are equal. Group and prioritize assets based on business context and risk. Knowing what something is, and how critical it is to operations, helps guide your response. Prioritize assets based on:

Fix what poses the greatest risk first. Consider risk scoring to assist in prioritization and know your organization’s risk tolerance and risk appetite.

Example: An exposed staging environment may be low priority in terms of attack service risk. In contrast, an exposed production database with customer data is not.

Phase 3. Remediate

Now it’s time to take action. Act on exposures, as prioritized, by patching, removing, isolating, or hardening assets. Actions here will depend on the prioritized assets but common remediation can include:

After remediating, always be sure to validate that your actions actually worked — do not assume.

Example: A SOC uses ASM data in its SOAR playbook to automatically quarantine risky assets and assign tickets to relevant teams.

Phase 4. Monitor continuously

Use automation to continuously monitor and track changes continuously and over time. The continuous monitoring is essential because your attack surface changes constantly: new assets get added, apps get misconfigured, people leave the organization. ASM keeps your inventory fresh and your alerts real.

Watch for changes and exposures, such as:

What types of assets are in scope for ASM?

ASM isn’t limited to firewalls and endpoints. That’s why assets in scope for ASM must include:

Challenges to getting ASM right

Even with the right intent, managing attack surfaces can be difficult to implement without the right strategy or tooling. Common roadblocks include:

How Splunk supports attack surface management

Attack surfaces may be expanding, but so are the tools and strategies to manage them. With attacks on organizations happening every day, we can no longer rely on manual processes alone.

Platforms like Splunk help teams automate discovery, correlate data across assets, and respond faster, making attack surface management both manageable and actionable. Splunk brings structure and visibility to ASM by helping teams:

Frequently asked questions (FAQs)

What’s the difference between ASM and vulnerability management?
Attack surface management (ASM) is asset-centric and focuses on discovering all assets and exposures, known or unknown, across your environment. Vulnerability management is software-centric, identifying and remediating flaws (like CVEs) in systems already inventoried. ASM and vulnerability management are complementary: ASM helps you find what needs protection, while vulnerability management helps you fix known issues.
Does ASM only cover external assets?
No. ASM includes both external and internal assets, covering cloud infrastructure, on-premises environments, shadow IT, and even human touchpoints.
How often should ASM be performed?
ASM should be continuous. Because your environment changes daily, continuous monitoring ensures your asset inventory and risk visibility stay current.
What features should you look for in an ASM tool?
Choose tools that automatically discover assets (cloud, web, third-party), continuously monitor exposure changes, risk-score assets by exploitability, integrate with SIEM/SOAR/ticketing systems, scale across hybrid environments, and offer flexible alerting and reporting.
Can ASM support Zero Trust initiatives?
Yes. ASM continuously verifies the existence and status of assets, supporting least-privilege access and helping enforce Zero Trust security principles.
Does ASM replace vulnerability scanning?
No. ASM complements vulnerability scanning by ensuring all assets—known and unknown—are discovered. Vulnerability scanning then focuses on finding software-level issues within those assets.

Video: Learn more about Attack Surface Management (ASM) Explained

Related Articles

Deployment Frequency (DF) Explained
Learn
5 Minute Read

Deployment Frequency (DF) Explained

Deploying changes to production is the only way end-users will see improved software. Learn about the deployment frequency (DF) metric from DORA here.
What Is Human Centric Software?
Learn
4 Minute Read

What Is Human Centric Software?

Human centric software is a way of designing software for both tangible metrics and harder to measure concepts like user preference & satisfaction.
What's Dogfooding? AKA Drinking Your Own Champagne, or Eating Your Own Ice Cream
Learn
3 Minute Read

What's Dogfooding? AKA Drinking Your Own Champagne, or Eating Your Own Ice Cream

This article takes a deep look at the history, benefits, challenges, and language of dogfooding, the practice of using your own software/products.
Infrastructure Management & Lifecycle Explained
Learn
5 Minute Read

Infrastructure Management & Lifecycle Explained

Managing your IT infrastructure is a critical aspect of your business, even if you don't think it is. See how a 4-phase approach covers the entire span of the infrastructure management practice.
Democratized Generative AI: Revolutionizing Knowledge Work
Learn
4 Minute Read

Democratized Generative AI: Revolutionizing Knowledge Work

In this blog post, we'll take a look at the increasingly popular topic of Democratized Generative AI and how its transforming the way people work.
The Industrial Internet of Things: A Primer
Learn
9 Minute Read

The Industrial Internet of Things: A Primer

In this blog pots, we'll take a look at the Industrial Internet of Things, and how it relates to the broader Internet of Things and related technologies
Policy as Code (PaC) Defined
Learn
4 Minute Read

Policy as Code (PaC) Defined

Simplify how your software builds in policy. Policy as Code is one way to fold in security, compliance, audit and other policies into the software you're building.
What is Performance Engineering?
Learn
7 Minute Read

What is Performance Engineering?

Engineering for optimized app, system & IT performance: that's how we can summarize performance engineering. Get the full story, tips & best practices here.
What is Multicloud? An Introduction
Learn
9 Minute Read

What is Multicloud? An Introduction

In this blog post, we'll take a look at the multicloud approach and its growing importance in the modern digital enterprise.