The ROI Problem in Attack Surface Management: A Comprehensive Guide
The Challenge:
Attack Surface Management (ASM) tools are designed to enhance security by reducing risk. However, they often fall short by providing an abundance of information without clearly demonstrating incident reduction. This paradoxical situation arises when the focus shifts from risk reduction to asset counts, creating a disconnect between effort and outcome.
The Promise vs. Reality:
ASM programs are built on the sound principle that protecting unknown assets is impossible. As a result, teams prioritize discovery, meticulously tracking domains, IPs, cloud resources, and third-party infrastructure. Over time, asset counts surge, dashboards display upward trends, and coverage expands.
Yet, these metrics fail to address the fundamental question: Is the organization safer? In many cases, teams find themselves overwhelmed with more data but no reduced exposure, highlighting the inefficiency of ASM.
Why ASM Falls Short:
ASM's emphasis on coverage metrics, such as asset counts, changes detected, and alert generation, creates a false sense of progress. These metrics primarily measure inputs rather than outcomes, leading to alert fatigue, unresolved asset backlogs, ownership confusion, and prolonged exposure.
The Measurement Conundrum:
The challenge lies in the fact that most ASM metrics focus on system visibility rather than the organization's actual risk reduction. Common metrics like asset counts and changes provide limited insight into the organization's security posture.
Meaningful ROI Metrics:
To bridge the gap, meaningful ROI metrics should focus on response quality and exposure duration, which are more closely aligned with real-world risk. Here are three critical outcome metrics:
Mean Time to Asset Ownership:
Measuring the time it takes to determine asset ownership is crucial. Assets without clear ownership linger, get patched later, and risk being forgotten. Reducing this time significantly shortens the exposure window and ensures accountability.Reduction in Unauthenticated, State-Changing Endpoints:
Not all assets are created equal. Tracking the number of external endpoints that can change state and require authentication provides a strong indicator of the attack surface's effectiveness. A robust environment with fewer static assets and fewer risky entry points is more secure.Time to Decommission After Ownership Loss:
Exposure often persists post-team changes, application deprecation, vendor migrations, and reorgs. Measuring the speed of asset retirement once ownership is lost is a powerful indicator of long-term security hygiene, a metric that is often overlooked.
Practical Implementation:
To make ASM a true control, organizations should shift their focus from abstract metrics to practical outcomes. Instead of emphasizing total asset count, they should prioritize:
- Asset Ownership: Identifying which assets are owned and resolving ownership gaps.
- Exposure Duration: Understanding how long assets remain exposed without clear ownership.
- Faster Resolution: Aiming for quicker resolution times rather than more alerts.
A Community Edition Approach:
To address the ROI challenge, Sprocket Security offers a community edition of its ASM platform, providing asset discovery and ownership visibility without cost or limitations. This initiative aims to empower teams to measure the effectiveness of exposure reduction over time, not just asset counts.
Conclusion: Measuring What Matters:
Attack surface management becomes defensible when measured by what changes, not just what accumulates. Discovery and visibility are essential, but they alone do not guarantee risk reduction. By focusing on outcome-oriented metrics, organizations can demonstrate real progress in reducing exposure and enhancing security.