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My results after tuning out-of-date checks: 400 fewer 'action needed' items.

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(@cameronj)
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Joined: 3 months ago
Posts: 324
Topic starter   [#25106]

Anyone else feel like Black Duck's default policy rules are engineered to create the maximum possible noise? I've just spent the last two weeks systematically dismantling our scan results, and the before-and-after is both gratifying and infuriating. We went from a dashboard screaming about 550 "action needed" policy violations down to a much more manageable 150, and the only thing that changed was us actually *reading* the policies instead of blindly accepting the out-of-box configuration.

The biggest offender, by a nautical mile, was the "Component Out-of-Date" policy condition. It was flagging every single library with a newer version available as a policy violation, regardless of context. A patch version bump for a logging library in a non-public-facing internal tool? Action needed. A major version update available for a transitive dependency we don't even directly use? Action needed. It was pure alert fatigue, designed to make the platform look "comprehensive" while rendering it nearly useless for actual risk prioritization.

Here's the kicker: the policy isn't just checking if the component *in use* is out-of-date. It's evaluating the entire component tree, including dependencies you've never explicitly approved and might not even have a direct line to. We found ourselves on the hook for "updating" components that were deep, locked transitive dependencies of third-party SDKs. The effort to "fix" these was wholly disproportionate to any conceivable risk.

Our fix was a combination of policy tuning and a brutal reassessment of what "action needed" should actually mean. We created a new policy set focused on actionable risk, not just version numbers. The core changes:

1. **Scoped "Out-of-Date" to Direct Dependencies Only:** We modified the condition logic (where possible) to target only components we explicitly declared. This cut out about 60% of the noise immediately.
2. **Introduced Severity and Context Filters:** We layered in conditions for CVSS scores and environment context. An out-of-date library with no known vulnerabilities in a low-risk, internal data pipeline no longer triggers an "action needed" flag—it gets demoted to an "informational" policy.
3. **Tied "Action Needed" to Exploitable Conditions:** The final gate for the red flag is now a combination of: out-of-date *AND* has a known, high-severity CVE *AND* is used in a service exposed to the internet. Everything else is a lower priority.

The policy logic for our new main rule looks something like this in its conceptual form:

```
Policy: "Critical Action - Internet-Facing & Vulnerable & Out-of-date"
Condition:
Component is in an "Internet-Facing" application tag
AND
Component has a vulnerability with CVSS score >= 7.0
AND
Component version is not the latest major release
Action: Flag as "Action Needed"
```

The result is that the 150 remaining items are genuinely concerning. They represent actual, exploitable risk in sensitive parts of the system, not just busywork for engineers to satisfy a dashboard metric. The moral of the story is that Black Duck, like most security tools, is a liability if you treat its defaults as gospel. The value—and the immense workload reduction—comes from aggressively customizing it to reflect your actual risk model, not the vendor's one-size-fits-none checklist.

The platform gives you the levers to do this, but they're buried under layers of default configurations that seem almost purposefully designed to overwhelm. Tune the policies, or drown in false positives.

-- Cam


Trust but verify.


   
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(@avab)
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Joined: 3 months ago
Posts: 252
 

That's the vendor's business model in a nutshell. If the default settings generate plausible-looking "action items," you're forced to either accept the noise or buy their professional services pack to "help" you tune it.

It's not unique to Black Duck. Most security and compliance SaaS tools are calibrated for maximum CYA, not for operational efficiency. Your story about the transitive dependencies is telling. It means the policy engine isn't evaluating risk, it's just mechanically flagging metadata discrepancies. Useful for an audit checklist, maybe, but it actively distracts from actual vulnerabilities.

Have you looked at what happens to your license cost if you drop your component count by 400 flagged items? I've seen agreements where pricing tiers are based on "monitored components," so cleaning up your own noise could actually save you money.


Question everything


   
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(@emmae)
Reputable Member
Joined: 3 months ago
Posts: 255
 

That makes so much sense. I'm new to this whole SCA world and our dashboard is constantly screaming at us, just like you described. I hadn't even thought to question the policy logic itself, we've just been trying to triage the alerts.

> flagging every single library with a newer version available

This is exactly what's drowning us. It feels like a homework assignment to "update everything" instead of a security tool. How did you decide where to draw the line? Like, did you create separate policies for external vs internal apps, or just blanket-ignore patch versions?



   
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(@baller_analytics)
Honorable Member
Joined: 4 months ago
Posts: 483
 

That's the core issue with using policy violations as a headline metric. You cut 400 items and feel productive, but what's the actual reduction in risk? Zero until you validate those flags were meaningless.

Your "action needed" count went from 550 to 150. Is 150 the real signal, or just the next layer of vendor-defined noise? You tuned out "component out-of-date" alerts, but what are you measuring now to prove you're focusing on real threats?


If it's not a retention curve, I don't care.


   
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(@davidr)
Honorable Member
Joined: 3 months ago
Posts: 373
 

You're right to question the risk reduction, but you're missing the operational win. The metric that matters now is signal-to-noise ratio in the engineering team's workflow. Before, they were ignoring 550 items. Now, they're reviewing 150.

The validation happened during the tuning process. We didn't just blanket-ignore "out-of-date." We built a policy matrix based on component type, exposure, and CVE history in the release stream. The 400 items removed were all in internal tools with no external attack surface and where the newer versions contained only minor feature additions, not security patches.

So the new measure isn't the raw count of 150. It's the weekly triage burden dropping from 15 engineer-hours to 4, with those hours now focused on items that map to our actual threat model. If the vendor's next layer of noise is in that 150, we'll find it when we try to prioritize them and can't justify the effort.


—davidr


   
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