Any seasoned security professional will tell you that if there’s one thing you can’t buy your way out of, it’s coverage gaps. Unfortunately, this is a lesson that the companies they work for need to learn again and again.
Newer, more sophisticated tools promise better detection. Another tool might fill an identified visibility gap. A third might claim to reduce analyst workload, thus freeing up their time to focus on more revenue-driving initiatives.
Over time, that organization’s technology stack grows, as do the blind spots, brittle workflows, and coverage gaps you were trying to address in the first place.
Thankfully, you can create a blueprint to simplify the stack while increasing detection and response coverage. You just have to keep a few key things in mind along the way.
The Real Cost of Tool Sprawl
From a 10,000-foot view, tool sprawl creates something of a paradox for every organization. Every new tool, even the ones that fulfill their promise, adds integration and operational overhead to the technology stack. This is true in terms of parsing, normalization, rule tuning, identity mapping, ownership, runbooks, and even escalation paths.
This leads to a few different issues, like coverage theater. This is when tools are deployed but not fully instrumented (meaning there are no logs, they operate from the wrong policies, or have partial endpoints).
This can also create issues like fragmented telemetry, alert duplication, and more. Tool drift is also a serious issue, which is when licenses change, owners leave, and detections silently degrade. This is particularly problematic, as it often leads to major issues that you may not even realize you have.
If you can’t confidently answer questions like “which percentage of endpoints are actively sending telemetry right now,” or if you just realized you have five different “single sources of truth” for asset inventory and can’t explain how you got to that point, you’re a victim of tool sprawl whether you realize it or not. Tenex.ai solves this by consolidating and managing all your visibility, telemetry, and asset insights into a single, intelligent platform, giving you clarity and control without juggling multiple tools.
Start With Outcomes, Not Products
Most technology stacks are built reactively. Instead, modern MDR architecture works essentially in reverse. You start with the outcome you’re trying to achieve and then determine what you need to do to achieve it.
A more practical model starts with outcomes, which dictate use cases, which shed light on requirements pertaining to telemetry, detections, and even response actions.
Maybe the outcome you’re trying to achieve is to reduce dwell time. Perhaps you’re trying to contain identity-based attacks faster, or improve cloud control-plane visibility. Regardless, coverage does not simply mean “we own the tool.” It means “we can detect, investigate and contain this attack class reliably.”
Starting with outcomes, not products, helps get to that point far more efficiently than you could under the old model.
Your Stack Has a Blueprint — Does It Still Make Sense?
If you want to inventory your stack like an architect, you need to think like an architect.
As you make your tool list, include a note about what problem it actually solves (as opposed to what problem you hoped it would solve).
Then, do a telemetry reality check. Look at each tool and ask if it’s producing usable logs/events with the correct context. Make an integration dependency map (outline what would break if you removed that tool), and note the operational cost when all things like tuning, triage, maintenance, escalations, and reporting are considered.
Finally, look at the actual detection/response contribution of each tool. Simply put, does it generate incidents your team trusts?
During this period, you need to be asking yourself the types of hard questions that many teams avoid. This includes which tools are duplicates, which tools amount to little more than shelfware, and which tools only seem to exist because “they’ve always been there” in a legacy capacity.
A Modern MDR Architecture Pattern That Scales
A scalable MDR architecture pattern isn’t just layered – it’s also practical in a way that keeps up with the demands of fast-paced organizations.
It begins with a telemetry layer inclusive of endpoint, identity, cloud, network, and SaaS audit logs. It also combines normalization and enrichment in terms of identity resolution, asset inventory, and criticality tagging. It also offers a detection layer capable of fewer, higher-confidence detections, embraces automation/orchestration, and offers case management inclusive of reporting.
Above all else, you should prefer platforms that reduce context switching and that don’t centralize everything if doing so will create a single, brittle point of failure. You should also optimize for incident-ready evidence, not raw log volume.
Consolidation Strategy
A consolidation strategy that MDR users can actually execute includes:
- Phase 1. Stabilize. This means fixing telemetry gaps, reducing duplicates, and above all else establishing proper incident workflows.
- Phase 2. Consolidate. After you choose primary systems for each domain, get rid of redundant tools at your earliest convenience.
- Phase 3. Optimize. This includes but is not limited to tuning cycles, automation expansion, and quarterly validation.
How to Validate Your Improved Coverage
Remember that consolidation isn’t “done” unless it’s proven. Until that point, it’s still theoretical. At a baseline, you need to record top incident types, alert volumes, MTTD/MTTR, false positives, containment time, and other metrics. After you make changes, rerun the same tests to see what, if anything, changes.
To validate, simulate credential compromise scenarios and cloud control-plane abuse tests (when it’s appropriate to do so) to make sure you’re protected from as many different angles as possible.
Practical Playbook: 30/60/90-Day Plan to Reduce Sprawl
To help reduce tool sprawl in the most practical way possible, you should execute your strategy in 30, 60, and 90-day chunks. That way, you’ll always be moving forward while still breaking the process down into smaller, much more manageable periods.
In the first 30 days, for example, you should focus on gaining as much clarity as possible while achieving any quick wins that you can. Complete a full inventory, build a coverage matrix, fix the top integration gaps, and eliminate any obvious duplicates.
Then, by 60 days, you should shift focus to consolidating investigation consoles, standardizing incident workflows, and implementing key automations like containment and structured evidence capture.
In 90 days, you’ll be able to validate coverage improvements through structured testing, finalize decommission plans for retired tools, and formalize a quarterly validation routine.
Throughout all of this, the ownership of these processes must be explicit. The SOC lead will drive coverage mapping and workflow standardization. Your security engineer will handle telemetry validation and automation. Your MDR partner will be by your side to dutifully support detection tuning, gap analysis, and more.
If you attempt to go through this level of consolidation without defined ownership of these processes, it will stall. There is no getting around that simple fact.
In the End
Never forget that tool count is not coverage – end of story. Coverage, by its nature, is a reliable telemetry when you understand what it is or is not capable of. That, coupled with trusted detections, fast containment, and repeatable validation, afford you all of the benefits of this process with as few of the potential downsides as possible.
If you’d like to find out more information about reducing tool sprawl while also improving coverage, or if you have any additional questions about the modern MDR architecture playbook that you’d like to discuss in a bit more detail, please don’t delay – contact us today. You can also assess your current stack to help reduce tool sprawl using the 30/60/90-Day Plan.