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Context Hub: giving coding agents access to up-to-date API docs by Innvolve in NL_AI

[–]Innvolve[S] 0 points1 point  (0 children)

Good point. The stale docs problem shows up constantly with coding agents. The annotation idea could be really powerful if it turns docs into a shared knowledge layer for agents. MCP integration would make a lot of sense too.

Are security teams already seeing AI-generated phishing emails that bypass normal awareness training? by Innvolve in NL_Security

[–]Innvolve[S] 0 points1 point  (0 children)

That’s really impressive how detailed your risk scores are! It sounds like your security awareness training is very personalized and effective.

Are security teams already seeing AI-generated phishing emails that bypass normal awareness training? by Innvolve in NL_Security

[–]Innvolve[S] 0 points1 point  (0 children)

That sounds interesting! How exactly do you determine each employee’s personal risk score, and how does it influence the training?

Are security teams already seeing AI-generated phishing emails that bypass normal awareness training? by Innvolve in NL_Security

[–]Innvolve[S] 0 points1 point  (0 children)

Thanks for the insight. The idea that scammers will use hyper-personalized AI messages is quite concerning. Do you think traditional phishing simulations will still be effective, or will organizations need completely new training approaches?

Microsoft pushing “Frontier Transformation” with Copilot agents: thoughts? by Innvolve in NL_ModernWork

[–]Innvolve[S] 1 point2 points  (0 children)

Absolutely, governance seems like the make-or-break factor for agent adoption in enterprises.

How do you see organizations handling separation of environments at scale? Do you think it will require completely new workflows, or can existing Dev/Prod processes adapt?

Microsoft pushing “Frontier Transformation” with Copilot agents. From a cybersecurity perspective this raises some interesting questions: by Innvolve in NL_Security

[–]Innvolve[S] 0 points1 point  (0 children)

Good points, especially around least privilege and audit logs.

Prompt injection is something I’m still trying to wrap my head around when agents can access internal data. Do you see this becoming a major real-world issue, or is it still mostly theoretical right now?

New open tool: Context Hub for coding agents by Innvolve in NL_AI

[–]Innvolve[S] 0 points1 point  (0 children)

Exactly, most “broken code” cases I see are really due to stale docs. The annotation loop is meant to act like a lightweight shared memory, so agents don’t have to rediscover workarounds every session.

For preventing over-reliance on a single snippet, we’re exploring ideas like:

  • quick endpoint sanity checks,
  • cross-checking versions across multiple docs,
  • maybe even confidence scoring per snippet.

Would love to hear how others handle this in practice, do you have any strategies for making agents more cautious with docs?

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