AI governance cannot break through corporate risk defenses: from technological implementation to institutional enforcement gap

OffchainWinner · 2025-12-16T01:29:49+00:00

The biggest obstacle to AI in enterprise applications is the lack of effective risk management and governance systems. When implementing AI, companies often face issues such as policy and execution disconnect, loss of control risks, and difficulty in achieving ROI. Rubrik is committed to providing visibility and audit capabilities for AI systems to help enterprises improve governance and establish a competitive advantage.

OffchainWinner

2025-12-16 01:29:49

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Source: TokenPost Original Title: No AI proliferation without control… Rubrik bets on enterprise risk management technology Original Link: https://www.tokenpost.kr/news/ai/315080

Key Points

The biggest obstacle to large-scale enterprise AI application is not technological cost or development difficulty, but the lack of effective risk management and governance systems.

Issue Analysis

According to Dev Rishi, AI leader at cloud data security company Rubrik, during last summer’s discussions with approximately 180 clients, it was found that enterprises generally face three major dilemmas during AI deployment:

Policy and execution disconnect: Most companies have established AI policies and guidelines, but these documents remain on paper and are not connected to actual system control mechanisms.
Risk of autonomous system loss of control: Compared to manual systems that have verification procedures, intuitive judgment, and accountability mechanisms, AI systems lack corresponding checks and balances, which could cause chaos in organizational security and risk management systems.
Difficulty in achieving ROI: Some organizations withdraw their investments because they cannot find effective AI application value.

Industry Trends

Rubrik is attempting to provide tangible AI system visibility, audit capabilities, and recovery functions through products like “Rubrik Agent Cloud.” The company has attracted major clients such as Arm Holdings and is focusing its strategic efforts on strengthening the controllability of AI agents and establishing a comprehensive audit system.

Long-term Outlook

The success of AI ultimately depends on the sophistication and executability of its governance, not just technical capabilities. The current AI governance competition will become a key dividing line in the industry; organizations that establish comprehensive supervision and control mechanisms will gain a competitive advantage.

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BrokenRugs

· 2025-12-19 01:29

To be honest, policies are written in a fancy way, but their implementation still falls flat... Isn't this a common problem among large enterprises? The gap between policy and reality is always the most critical, and AI governance is no exception. Just shouting slogans won't do any good. Companies are really being held back here; compared to technical barriers, risk management is the bigger issue. All 180 clients are like this? Then the problem is indeed quite common. That's why AI adoption is so difficult.

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MissingSats

· 2025-12-18 22:19

You're right, no matter how beautifully policies are written, they are useless if not truly implemented effectively. --- Isn't this the common problem for most companies? They talk about risk management, but in practice, it's all a mess. --- Rubrik has hit the pain point this time. Companies have been spending money on AI for a while, but what they lack is a reliable governance solution. --- The issues reported by 180 clients... indicate that this is indeed a widespread problem, not an isolated phenomenon. --- Disconnection between policies and execution? This is a common topic in traditional industries as well. AI just makes it more obvious. --- The real bottleneck is not technology, but organizational capability. That’s a very accurate statement. --- While companies are spending money on deploying AI, they lack corresponding risk frameworks. This approach will eventually backfire. --- Interestingly, risk management has become the core competitive advantage for AI implementation. --- Rubrik has found a good entry point, but whether it can solve these dilemmas depends on the final product.

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GasGrillMaster

· 2025-12-16 01:58

Basically, it's just armchair strategy; the policies look great on paper, but the execution is all empty. AI risks are really the Achilles' heel for companies. The technology itself isn't the difficulty; it's management that underperforms. All 180 clients encountering these setbacks indicate this isn't a minor issue. The gap between policy and execution reminds me of the roadmap of certain projects haha. Corporate governance capabilities are indeed worrisome, no wonder AI advancement is so slow. That's probably why big companies take the lead first, while small businesses are just watching and waiting.

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MoneyBurnerSociety

· 2025-12-16 01:44

Same old story... companies are very active when writing documents, but once it comes to execution, they just stand still. I'm very familiar with this.

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GasFeeCrier

· 2025-12-16 01:39

Haha, it's the same old problem again. The policy is well-written but the execution completely collapses. Isn't this a common issue among large companies? --- Are all 180 companies like this? It seems AI governance is really hitting a bottleneck. It's not a technical problem but a management one. --- The so-called risk defense line sounds good, but in reality, companies just want to go live quickly, regardless of everything else. --- Rubrik is probably riding the trend right now, but on the other hand, it really hits the pain point. --- So in the end, it still depends on manual review? Doesn't that make AI's advantages pointless? --- Policies can't keep up with the speed of execution—an eternal contradiction, brother. When will this be resolved? --- All 180 companies have issues, which shows this isn't just an isolated case. A new solution is definitely needed.

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airdrop_whisperer

· 2025-12-16 01:32

You're absolutely right, that's why so many big companies' AI projects ultimately turn into PPT proposals. No matter how well the policy is written, it’s useless if the execution level doesn’t cooperate... This is the same in crypto; governance is always the final hurdle. Companies should spend half of their AI marketing budget on risk control.

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