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Tue, 10/20/2026 – 08:17
A DSPM program must detect data exposures, prioritize the most serious risks, and help teams remediate them. Without all three, critical issues can go unnoticed while teams and leadership assume they’re protected. Effective DSPM turns visibility into action.
Shiri Margel | Senior Director of Product Management, Data Security & AI
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Imagine a fire department with a state-of-the-art, fully equipped response system. They've got fire marshals, engines, extinguishers, rehearsed protocols, and a plan for when something starts to burn.
But that same fire department has no way to spot a fire before someone calls it in. No smoke detectors wired to dispatch, no patrol routes through high-risk buildings, no early warning of any kind. They only find out a building's on fire once it's already spread past the point where a quick response would have contained it.
This is the other failure mode of a Data Security Posture Management (DSPM) program that only does half the work. In part one of this series, we covered what happens when a program can detect but not suppress. This post covers what happens when a program can extinguish fires but can’t find them — the shadow data problem — or can’t tell which ones are worth fighting first — the risk prioritization problem.
Key Takeaways:
- A DSPM program that can remediate but not detect leaves shadow data — data copied, exported, or created outside the reach of monitoring tools — unprotected.
- Only 34% of organizations know where all their data resides, and just 39% can fully classify it (2026 Thales Data Threat Report).
- Detection without risk prioritization is almost as damaging: the exposure that threatens customer data queues behind trivial ones.
- Clean dashboards from an incomplete DSPM program give the board false confidence; the gap surfaces only after an incident.
- A complete DSPM program detects, prioritizes, and remediates — all three, everywhere the data lives.
All the Response Capability, None of the Visibility
In part one, analysts had all the alerts, but none of the response capability. In this scenario, the security team has all the response capability, but none of the alerts.
They've got access keys, automated playbooks, and rehearsed response scenarios. If they spot a compromised database or a leaked API key, they can remediate it immediately. Proactive controls and response workflows have been put in place to reduce risk and accelerate action when issues arise. Every now and again, they get to flex their muscles and demonstrate the value of all that preparation. Their strength lies in responding quickly and effectively to known risks, once those risks have been discovered.
In this scenario, ignorance is bliss. The DSPM solution isn’t producing many alerts, so the security team assumes their environment is safe. When the DSPM does produce alerts, they act on them quickly. They feel secure, even proud of the work they’re doing.
But for every fire they put out, there are three more they don’t know about.
Two Paths to the Same Blind Spot: Shadow Data
Teams that fall into this trap tend to fall into one of two categories.
The first is legacy organizations that built protection first but failed to follow up with visibility. They still rely on the traditional security approach of building a strong perimeter with firewalls, access controls, and remediation teams to lock things down and respond when necessary.
However, as data moved into the cloud, it scattered into places those perimeter tools can’t track. The result is shadow data: copies, backups, exports, and test datasets created outside the reach of the security tools meant to monitor them. This data sprawl is now the norm. The 2026 Thales Data Threat Report found that only 34% of organizations know where all their data resides, and just 39% can fully classify it. So, the response team sits idle while risks go undetected.
The other category is newer, cloud-native organizations. They tend to go all in on response tooling, assuming that they have total coverage, even when they don’t.
Either way, the result is the same: there are fires burning somewhere in their environment, and they have no way to find out about them.
But let’s say the visibility gap gets solved. The team invests in coverage, closes the blind spots, and now sees every exposed database, every leaked key, every misconfigured bucket across the environment.
Now what?
No Risk Prioritization: When Everything’s a Priority, Nothing Is
Picture a city fire department fielding calls at
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Halfway is No Way: Why DSPM Fails if it Can Remediate, But Not Detect or Prioritize