The Illusion of Coverage: Why We Are Building Spectrum
Data collection is not detection. After a decade of hoarding logs and relying on manual engineering, security teams are still guessing at their coverage. We are building the future of detection to replace uncertainty with proof
The security industry is currently facing a stark paradox. We are investing more capital, deploying more sensors, and ingesting more telemetry than ever before. Yet, for most security leaders, the ability to answer the most fundamental question:
"Are we able to detect the threats targeting us right now?"
remains dangerously elusive.
We are building Spectrum Security because we believe this detection deficit has become the defining challenge of the modern SOC.
For the last decade, the industry has been obsessed with data collection. We built massive data lakes and centralized petabytes of logs. But more data isn’t the answer. Somewhere along the way, we confused volume with value. The collective assumption was that if we simply built a large enough haystack, we would inevitably find the needle.
The reality, however, is that data collection does not equal detection.
The Signal Gap Undermining the Autonomous SOC
Nowhere is this deficit more apparent than in the current conversation around the "Autonomous SOC."
The industry is racing to apply AI to improve triage, deploying agents to investigate alerts and close tickets faster. I know this world intimately. Having built Siemplify to automate and streamline the analyst’s role, I spent years obsessing over operational speed. But while faster triage is valuable, it ignores a critical upstream reality: You cannot triage what you do not detect.
If your detection coverage is full of holes, or if your logic has drifted, the smartest AI analyst, or the most efficient SOAR playbook, will simply have nothing to analyze. We are optimizing the "response" while neglecting the "signal."
The Broken Promise of Detection
The traditional detection model has collapsed under the weight of complexity. We are attempting to secure sprawling environments with a manual process that demands defenders be researchers, engineers, and developers all at once. The math no longer works; in a world where attackers iterate in minutes, the defense is caught in a velocity trap.
This failure is compounded by broken economics. As infrastructure costs hit record highs, the strategy of "hoarding everything" has become unsustainable. We are paying a premium for data availability, only to find that raw logs do not translate into protection. We have become data rich, but detection poor.
Most dangerous of all is the operational doubt. Even when detections are deployed, teams are plagued by uncertainty: Is the rule working? Has the environment drifted? Is a quiet dashboard a sign of safety or blindness? We are forced to guess at our coverage rather than truly knowing it.
Closing the Gap: The Future of Detection
We founded Spectrum Security to close this deficit. We are building the future of threat detection.
Our mission is to fundamentally rewrite the economics of Security Operations. We believe that high-fidelity detection shouldn't be a manual privilege for the few, but an automated, intelligent standard accessible to everyone.
We are building a future where:
- Detection Follows the Risk: Organizations must be able to identify exactly what requires coverage in their specific environment and deploy it instantly.
- Coverage is Transparent: Defenders should never have to guess. We believe in a world where you can continuously validate your defenses and know exactly where you are exposed.
- Resilience is Scalable: We are leveraging AI to ensure that detection remains effective even as the environment changes-moving the industry from brute-force engineering to AI-driven automation.
We are building for the teams that are tired of the uncertainty. We are building for the leaders who need to stop hoping for safety and start having absolute confidence in their coverage.
The future of detection is coming.