Executive Summary
A US-based healthcare organization ran a capable security stack, but every tool worked alone. The vulnerability scanner flagged critical findings without knowing the firewall already blocked them. Detection data lived apart from prevention data. Across thousands of endpoints in a hybrid on-premises and cloud environment, the small security team needed the one answer no single tool could give: whether an attack would actually get through.
The team deployed Picus Security Control Validation (SCV) and added Attack Path Validation (APV), replacing point-in-time red team snapshots with testing that runs on a schedule. Monthly simulations now cover the full stack, engineers drill into specific gaps with scoped runs, and quarterly emerging-threat briefings give leadership evidence instead of assumptions. What began with a single operator has grown into a team-wide practice.
The Challenge: Siloed Tools Could Not Show Real Risk
The team ran a capable stack: EDR on the endpoints, a SIEM collecting logs, a vulnerability scanner rating findings. Each tool answered its own question, and none answered the one that mattered.
Red team testing came as point-in-time engagements that grew stale the day they ended. A correlation gap in the SIEM log pipeline was quietly limiting what detections could fire, and data exfiltration testing was limited to email alone. The picture was fragmented exactly where it needed to be whole.
You have a vulnerability scanner and it says we found a vulnerability we rate critical 10. But what the scanner doesn’t know is that you have a firewall in place that blocks it. Everything is siloed. Your vulnerability data is in one place, your firewall data is in another. They don’t really communicate with each other.
Associate VP, Information Security Operations
The Solution: Testing the Whole Stack Together, Not in Silos
Rather than adding one more siloed tool, the team used Picus to test the stack as a whole. Simulations run real attack techniques across the environment and show what gets blocked, what gets detected, and what slips through, with every result mapped to MITRE ATT&CK.
Security Control Validation runs full-scope simulations on a monthly schedule across the entire threat library. Between runs, engineers launch smaller, scoped simulations to drill into specific gaps, verify logging, and confirm fixes landed. Attack Path Validation replaced point-in-time red team snapshots with attack path testing the team can schedule as often as it wants, prioritizing ransomware and domain compromise scenarios first.
I’ve just been in here for maybe an hour, clicking around and poking at things. I’ll be honest, it seems really intuitive.
Information Security Engineer
From Feature Request to Shipped Capability
Exfiltration testing had been limited to email, a gap the team itself had raised with Picus. When the multi-vector data exfiltration module shipped, it closed that gap directly.
For a lean team, that feedback loop matters: the platform grows in the direction its operators push it.
We had talked about that a while ago, how it was just email and it would be good if it was other stuff. So glad that got added. That’s huge.
Information Security Engineer
The Results: From One Operator to a Team-Wide Practice
Simulations surfaced what the siloed view had hidden, including a correlation gap in the SIEM log pipeline that was quietly limiting detection. Instead of a vague sense that coverage was incomplete, the team had a concrete root cause to work.
Adoption grew with the findings.
Validation results now anchor quarterly emerging-threat briefings to security leadership, a structured reporting cadence that did not exist before.
It used to just be me, basically. But we’ve onboarded other users so they can start testing simulations more scoped, instead of just the ones that run on a monthly basis where we’re testing everything. They can look deeper at the logging, make sure it looks correct, and if there’s anything missed, they can take action.
Information Security Engineer
The Takeaway
Siloed tools each answer a fragment: a score here, an alert there. None of them can say whether an attack would actually get through. Continuous validation connects the fragments. It tests the whole stack against real techniques, weighs every finding against the controls already in place, and turns the results into evidence engineers can act on and leadership can trust. For a lean healthcare security team, that is the difference between a stack of siloed answers and one proven picture of what holds.
