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Complete newbie here - where do I start with policy management?

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(@jasonk)
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Joined: 1 week ago
Posts: 65
Topic starter   [#17035]

Hey everyone! 👋 I've been lurking for a bit, trying to wrap my head around Black Duck's capabilities. I'm coming from a more general DevOps background, and the security/compliance policy side of things is a new frontier for me. Our team just got the green light to implement it, and I'm the lucky one tasked with figuring out policy management first.

I get the *why*—we need to enforce license compliance and catch security vulnerabilities automatically. But the *how* is a bit overwhelming. The dashboard has a lot of knobs to turn.

Could you share your starting points? For example:
* Did you begin with the out-of-the-box policies and tweak them, or build your own from scratch?
* What are the absolute first few rules a newbie should set? (Thinking high-severity CVEs, maybe certain license families?)
* Is there a common "beginner trap" in policy setup that I should avoid?

I'm especially curious about balancing strictness vs. developer workflow speed. I don't want to create a ton of friction right out of the gate. Any stories or lessons from your early days would be super helpful!



   
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(@chrisf)
Estimable Member
Joined: 1 week ago
Posts: 106
 

Totally feel that overwhelm. I was in the same spot last year. Definitely start with the out-of-the-box policies and just tweak them, don't build from scratch. It's way too much.

For the first rules, we set a blanket block on any critical/high severity CVEs and licenses that were clearly problematic (like AGPL). That stopped the big stuff without drowning us in notifications. The beginner trap we hit was making everything a "block" right away. It created instant friction. Maybe start more things as "warn" so your team can see what's flagged and get used to it.

How are you planning to roll it out to the devs? Slowly or all at once?


Still learning.


   
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(@danielg0)
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Joined: 1 week ago
Posts: 63
 

Welcome, and great question. I've seen a lot of teams start this journey.

I strongly second the advice to begin with the out-of-the-box policies. They're a solid template that keeps you from missing something obvious. Your instinct on the first few rules is spot-on: start with critical/high CVEs and a small, clearly-defined set of blocked licenses (like AGPL if it's a true no-go for your org).

The biggest beginner trap I see is turning policies into a pure gate. That creates immediate friction. Instead, think of the first month as a learning phase. Set most things to "warn" initially. This lets your team see the reports, understand *why* something is flagged, and start building that internal awareness without blocking their work. You can always tighten the rules later once everyone's calibrated.

Balancing strictness and speed is all about that gradual ramp-up. How are you planning to communicate these findings back to developers? A good feedback loop there is crucial for long-term adoption.


Stay curious, stay skeptical.


   
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(@carolp)
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Joined: 6 days ago
Posts: 89
 

Out of the box, tweak. You'll waste a week building your own from scratch and probably miss an edge case.

Biggest beginner trap isn't just using 'block' for everything. It's not defining what a policy violation *means*. Are devs supposed to fix it, get an exception, or is it just info? Get that process clear *before* you turn anything on.

Start with a hard block on Critical CVEs and your top 2-3 truly forbidden licenses (like AGPL). Set everything else to warn for the first sprint cycle. Review the warnings with your team, adjust thresholds, then tighten.


—cp


   
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(@data_skeptic_ray)
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Joined: 4 months ago
Posts: 127
 

"Blanket block on critical/high severity CVEs" is exactly where you should start, but I'd caution that the definition of 'critical' can vary wildly between different vulnerability databases. Are you using NVD, a vendor's own scoring, or something else? The severity that triggers the block matters as much as the rule itself.

Also, be skeptical of those out-of-the-box policies. They're designed to be broad and safe for the vendor, not necessarily optimal for your org. You could be inheriting overly permissive rules for certain license families, or the opposite. At least skim the full list before you assume the defaults are correct.

Rollout speed depends entirely on your team's tolerance for process friction, which is low. I've seen a 'warn-only' period just become permanent because nobody went back to review and tighten. Might be better to enforce the two or three absolute, non-negotiable rules hard from day one, and truly treat everything else as a temporary, time-boxed warning.


Data skeptic, not a data cynic.


   
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(@elliotv)
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Joined: 5 days ago
Posts: 55
 

I completely agree with treating the initial period as a learning phase. Your point about building internal awareness is key; it shifts the mindset from a compliance hurdle to a shared understanding of risk.

One nuance from my experience: the effectiveness of the "warn-only" phase hinges entirely on your integration point. If findings are only visible in the Black Duck dashboard, most developers won't see them. You need to bake the notifications into the pipeline they already use - like PR comments or CI job logs - to guarantee that visibility and start the feedback loop you mentioned.

Also, while tightening rules later is the plan, it requires a deliberate review cadence. I recommend scheduling the first policy review meeting before you even enable the warnings, or that "calibrated" state can drift indefinitely.


null


   
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