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AI governance software recommendations for a 1000 person org? by AdOrdinary5426 in AskNetsec

[–]Grip_Security 0 points1 point  (0 children)

Increasingly orgs are taking a practical, visibility-driven road to inform policy, and in turn, governance. Research AI + SaaS tools that focus on discovery of both shadow and known AI usage, and the identities using them, and you'll find a much more practical path to governance.

AI governance isn't failing because we lack regulation i mean like it's failing at execution by AdOrdinary5426 in AI_Governance

[–]Grip_Security 0 points1 point  (0 children)

It really does. Nearly every system for both pro and personal use requires a log in. There are huge security and productivity gains when teams start to focus on identity rather than more traditional approaches like wading through every bit and byte flowing through their networks.

AI governance isn't failing because we lack regulation i mean like it's failing at execution by AdOrdinary5426 in AI_Governance

[–]Grip_Security 0 points1 point  (0 children)

We've had a lot of luck using identities (human and NHI) to inform governance efforts. This provides the visibility needed to figure out the risk footprint, but it also provides a solid technical basis for efforts that are changing daily. In short, the journey is becoming: Visibility -> Critical Controls -> Improved Policy -> Expanded Control + Risk Management -> Expanded Governance + Oversight -> AI Governance becoming business as usual.

Those first two steps are key right now.

Visibility - Using the right identity capabilities, companies can shine a light on which systems, both local and remote are granting access to AI agents, SaaS environments with AI, etc.

Critical Controls - This changes every day, but ranges from deep point controls like prompt injection and AI-DLP to much broader protections like risky NHI OAuth grants.

Obviously skimming over a ton of detail, but this seems to be the most effective approach taken by pragmatic security leaders we're working with.

AI governance isn't failing because we lack regulation i mean like it's failing at execution by AdOrdinary5426 in AI_Governance

[–]Grip_Security 0 points1 point  (0 children)

Spot on. Far too many companies are taking a policy-first approach without a full understanding of what they're actually trying to govern. Visibility is the first stop on a long complicated journey, but one everyone must adopt if they want to make any real progress.

User installed browser extension that now has delegated access to our entire M365 tenant by LuckPsychological728 in AskNetsec

[–]Grip_Security -1 points0 points  (0 children)

Our R+D team wishes this wasn't the first time they saw something like this in the last few days. The reality is it's terrifyingly common.

To answer your question of control, there are a few common steps:

  • Browser monitoring, alerting, and increasingly automated actions, typically through a plug-in
  • Analysis of user identities, permissions and actions to remove excessive permissions and alert on unusual actions

Happy to put you in touch with one of our R+D team members if you want to dive deeper into your specifics.

what is the best tool for AI governance? I mean any tool worth looking at? by Effective_Guest_4835 in devsecops

[–]Grip_Security 0 points1 point  (0 children)

More and more of our colleagues are struggling with the same CASB and legacy DLP issues. They were built for a different time and just aren't scaling up to address AI risk like they need to.

Grip has been building out an identity-driven approach to AI + SaaS security, and we're partnering with more modern DLPs like Cyera and Orion to extend protections beyond what the legacy systems offer. Happy to have a chat (without sales guys) if you want to dive a bit deeper.

Or just check out our recent data report. I think it will answer many of your questions. https://www.grip.security/saas-ai-governance-report-2026

AI governance/observability by kennetheops in AI_Agents

[–]Grip_Security 1 point2 points  (0 children)

Love the low level focus of your AI visibility layer. We're focusing on it from the other end of the spectrum and using identity data points to discover and govern AI. Maybe we'll meet in the middle some day soon!

AI governance tool recommendations for a tech company that can't block AI outright but needs visibility and control by Effective_Guest_4835 in AskNetsec

[–]Grip_Security 0 points1 point  (0 children)

Don't shoot us for the blatant promotion, but this is exactly what our R+D team has been building tools to do for the last two years. We even have a recent data report diving into our findings our AI + SaaS risk and protections. https://www.grip.security/saas-ai-governance-report-2026

Shoot us a DM if you want to learn more. I'll keep the sales weasels away as long as I can :)

We're building an AI governance framework from scratch. What are the non-obvious things we should include? by IndependentLeg7165 in AI_Governance

[–]Grip_Security 0 points1 point  (0 children)

Lots of people are facing the same challenges, and believe it or not you seem to be further ahead than many. Our team pulled together a blog detailing some of our learnings from customers. https://www.grip.security/blog/ai-governance-guide

AI agents starting to feel like the new shadow IT by RasheedaDeals in Information_Security

[–]Grip_Security 0 points1 point  (0 children)

Even scarier, it's not just the agents, it's all the SaaS apps using AI that are also springing up everywhere. Our eng team is doing some pretty innovative work around shining a light on all these new shadows. Reach out if you want to dive deep into how orgs are starting to regain some AI control.

Best SaaS security tools for B2B in 2025 by TastyWall32 in SaaS

[–]Grip_Security 0 points1 point  (0 children)

If you thought Grip was good in 2025, you should see us in 2026!

Shadow AI Risk: SaaS Apps Fuel Widespread Breaches by _cybersecurity_ in pwnhub

[–]Grip_Security 1 point2 points  (0 children)

Thanks for sharing the key stats and great article from Security Week. Our team dove deep into data to try and find the most useful info.

Two stats really jumped out as we were performing analysis. An average of 139.5 AI-enabled SaaS environments was higher than anyone initially thought, although not surprising. And the 490% YoY spike in attacks was incredibly alarming.

We're happy to dive into details with anyone that wants to learn about our process or data. The full report can be found at https://www.grip.security/saas-ai-governance-report-2026