Maximizing ROI in Attack Surface Management

Attack Surface Management (ASM) tools are designed to lower risks, but the reality often differs. What these tools tend to provide is a flood of data without clear risk mitigation outcomes.

When organizations implement ASM, they typically see a rise in asset inventories, an increase in alerts, and countless dashboards filled with metrics. While this indicates a flurry of activity, many security teams struggle to give a straightforward answer to the question, “Is this preventing incidents?”

This disconnect between outputs and actual safety is where many organizations face challenges in justifying their ROI in attack surface management. The issue arises primarily from measuring success through asset counts rather than actual risk reduction.

The Promise vs. The Reality

ASM initiatives stem from a logical premise: if you don’t know what assets exist, you can’t safeguard them. As a result, security teams prioritize the discovery of various tied assets, including domains, IP addresses, cloud resources, and even transient entities.

Over time, these efforts yield a higher asset count, more alerts, and a general sense of improved coverage. However, these figures don’t necessarily correlate with actual safety improvements. Instead, teams find themselves inundated with data, yet feeling just as exposed as before.

The Busy, Yet Ineffective Nature of ASM

One of the primary reasons ASM may feel busy but ineffective is the emphasis on coverage—a metric that’s straightforward to track. More discovered assets, more alerts, and more detected changes all feel like tangible progress.

However, these metrics largely reflect inputs rather than meaningful outcomes. In reality, teams may face numerous challenges such as:

• Alert fatigue
• Backlogs of known but unresolved assets
• Ongoing confusion about asset ownership
• Prolonged exposure to risks

The effort is palpable, but the reduction in actual risk remains elusive.

The Measurement Discrepancy

One vital reason proving the ROI of ASM poses difficulties is the reliance on metrics that only reflect what the system can discover, rather than what the organization genuinely improves.

Common metrics in attack surface management often include:

• Asset totals
• Number of changes detected

Conversely, more crucial metrics that genuinely reflect an organization’s risk profile are frequently overlooked:

• Time taken to take ownership of risky assets
• Duration of dangerous exposures
• Reduction of attack paths over time

A comprehensive asset inventory is necessary to gauge the external attack surface effectively. The disparity occurs when organizations rely solely on discovery metrics, failing to couple them with meaningful results displaying actual risk reduction.

Defining Meaningful ROI

Instead of focusing the discussion on “How many assets did we identify?” a more pertinent question to ask is, “How much quicker and secure are we at mitigating exposure?”

Reframing this discussion shifts the evaluation of ROI from mere visibility to the quality of response and the duration of exposures—dimensions that correlate closely with actual risk levels.

Three Vital Outcome Metrics

1. Mean Time to Asset Ownership

How long does it take to determine who is responsible for a specific asset? Assets lacking designated ownership tend to:

• Remain unresolved for extended durations
• Be patched late
• Risk being forgotten altogether

Minimizing the time to determine ownership significantly reduces the window in which exposure persists without accountability. This metric often serves as a clear indicator that ASM findings are prompting action.

2. Reduction in Unauthenticated, State-Changing Endpoints

The risk level of different assets isn’t uniform. Tracking the number of external endpoints capable of altering state, as well as those requiring authentication, provides a stronger indication of whether the attack surface is shrinking meaningfully.

A system with a plethora of static assets yet few unauthenticated, state-changing pathways is significantly safer than one with fewer assets but many higher-risk entry routes.

3. Speed of Decommissioning After Ownership Loss

Exposure can linger for extended periods following:

• Team shifts
• Application sunset phases
• Vendor migrations
• Organizational changes

Tracking how quickly assets are retired once ownership is lost offers a strong metric of long-term operational hygiene and is underutilized in many organizations.

Practical Applications of ASM Metrics

General metrics are easy to agree upon but challenging to act upon. The goal isn’t just to create another set of dashboards or alerts—rather, it’s about enhancing visibility to bridge the gaps related to ownership, exposure duration, and unresolved risks that accumulate behind mere asset counts.

Instead of merely counting assets, focusing on:

• Which assets are assigned
• Which remain unresolved
• Duration without clear ownership

can transform your approach to ASM, leading to quicker resolutions rather than accumulating alerts.

Aligning ASM with Outcomes

ASM challenges do not stem from team effort; they arise from a lack of alignment between exertions and outcomes that matter to leadership. By reorienting ROI assessments around speed, ownership, and exposure length, organizations can demonstrate genuine progress, regardless of static asset counts. Often, meaningful achievements come from making the attack surface less chaotic.

A Practical Starting Point

One effective way to evaluate outcome-based ASM metrics is to ensure broad access to asset visibility across teams, breaking down silos. Organizations that permit collaboration among engineering, security, and infrastructure teams often find that exposure duration resolves more rapidly, without the need for additional alerts.

This realization led to the launch of a community edition of our ASM platform, which allows organizations to access asset discovery and ownership visibility at no cost. The objective here isn’t to replace existing tools but to create a means for teams to assess whether exposure is genuinely decreasing.

If you’re looking to evaluate the effectiveness of your ASM program, consider putting aside asset counts.

Instead, ask yourself:

• How long do risky assets go unclaimed?
• What changes have occurred with unauthenticated, state-changing pathways since last quarter?
• How swiftly do abandoned assets get retired?

If progress in these areas is lacking, simply identifying more assets won’t improve your situation.

Beyond Surface Metrics: Change Risks

Ultimately, attack surface management becomes justifiable when evaluated by its impact on real change, rather than just accumulation. While discovery and visibility are fundamental for understanding the attack surface, neither guarantees a decrease in exposure. Proper assessment occurs when high-risk assets are confirmed as owned more swiftly, dangerous paths vanish sooner, and orphaned infrastructure does not persist indefinitely.

At Sprocket Security, we emphasize considering not just the quantity of assets but also how long concerning exposure continues and how quickly it is addressed. Ultimately, effective attack surface metrics should highlight progress rather than merely reflect inventory growth.

If an ASM strategy cannot articulate whether exposure is diminishing, it’s challenging to justify its effectiveness beyond mere reporting of the problem.

Note: This article was expertly written and contributed by Topher Lyons, Solutions Engineer at Sprocket Security.