Cylera

You can't patch everything. So here's how CISOs actually prioritize: Risk

💥 Factor 1: Exploitability
Is this vulnerability actively being exploited in the wild? Or is it theoretical?
Active threat > theoretical vulnerability. This matters more than CVSS score.

💥 Factor 2: Device Criticality + Position
A vulnerability on an isolated admin device is different from a vulnerability on an ICU monitor connected to your main network.
Context matters. Severity score doesn't.

💥 Factor 3: Your Ability to Remediate
Can you patch it? Segment it? Replace it? Or are you stuck with it?

Knowing what you can actually do changes your entire response strategy.

Most teams are drowning because they're treating all vulnerabilities equally. The CISOs
winning are the ones who've built a context-based prioritization framework.

The manual version takes weeks to build and constant updating. The smarter version automates this correlation.

How are you currently deciding which vulnerabilities to remediate first?

#healthcarecybersecurity #threatprioritization #IoT

Your security team gets on average 17,000 vulnerability alerts per week. They patch. They report. They stay busy.

But here's the truth: 🫣 most of those alerts don't actually matter for your environment.

Not because the vulnerabilities aren't real. But because the device isn't on the clinical network, it's already isolated, or it's not connected to a patient or processing patient data.

➡️ Here's the gap: your tools flag everything. Your team has to manually figure out what actually matters. That’s alert fatigue.

➡️ The SMARTER approach: prioritize by actual risk to patient care, not by severity score.

Which vulnerabilities affect devices impacting patient care? Which are actually exploitable in your network?

Answer those questions, and you stop guessing.

How would your response change if you could prioritize that way?

#healthcarecybersecurity #alertfatigue #IoT

Most hospitals can't see all their connected devices.

A large health network across 300 sites discovered this the hard way. They had thousands of devices on the network but couldn't see them all. 🏥

They struggled to figure out: which networks are each device on and which devices that affect patient care are the most at risk?

That gap meant security exposure they couldn't tolerate. 🚨

So they changed their approach. They got complete visibility into every device, down to the OS, firmware, device behavior, and even usage.

✨ They knew where each one was and was able to see changes, anomalies, and security breaches in real time.

Here's what that enabled:

Security team could efficiently prioritize risks and vulnerabilities that actually affected patient care. Risk exposure dropped and operations became more resilient.

One of their leaders told us: "Before, we knew what we didn't know. Now we fully know what we have, in-depth, and how to manage those devices according to our business priorities. It's truly a game-changer."

That's what happens when you have visibility.

What would change for your organization if you actually knew what was on your network?

➡️Read the full case study for more: hubs.ly/Q03RYJql0

#healthcarecybersecurity #IoT #patientsafety

If you struggle with visibility into your device ecosystem, here's where to start:

1️⃣ Step 1: Map your current state
List out all of the devices on your network. Figure out who owns them.
Most importantly, name the gaps.

2️⃣ Step 2: Identify your crown jewels
Not all devices are equal. Start here: which connected devices are involved in direct patient care or processing ePHI? Which systems can you NOT do without?
ICU monitors. Medical imaging systems. Pathology. Ventilators. These are your tier-1.
Everything else is noise until you've secured these.

3️⃣ Step 3: Map Network Position
Knowing you have an infusion pump means nothing. Knowing it's on the clinical network + connected to the main EHR + running 2010 firmware = actual risk.
Document: device → network segment → what it connects to → firmware status.

4️⃣ Step 4: Establish Baseline for Active Threats
Document your network behavior (data flows, protocols, user and service access).
This shows what your device behavior SHOULD look like.
Then you can monitor for indicators of compromise (IoCs).

Alert fatigue kills programs. Focus detection on what matters.

Most teams tell us mapping tier-1 devices and their network position is their biggest blocker, how are you handling it? 👀

#healthcarecybersecurity #IoT #riskmanagement #Visibility

Here's a question most hospitals can't answer: "Do you know every connected medical device on your network?" Not estimate. Know.

Most teams stop here because the answer is no. It's not laziness. Medical device ecosystems are complex. 🤔
👉🏻 You have devices from 1997 next to 2025 tech.
👉🏻 Legacy systems.
👉🏻 New systems added by different teams.

Without continuous visibility into every connected device on your network, you're flying blind.

That means... you’re making security decisions blind. You're patching vulnerabilities that don't matter while missing the ones that do.🚨

Telling auditors you've got it while knowing you don't.

✨ The solution is not to just have visibility, it’s complete network visibility WITHOUT disrupting patient care.

What's your biggest blocker to getting full visibility?

#healthcarecybersecurity #cybersecurity #MedicalDeviceSecurity #CyberRiskManagement