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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GasGrillMaster
· 12h ago
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
· 13h ago
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
· 13h ago
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?
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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.
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The so-called risk defense line sounds good, but in reality, companies just want to go live quickly, regardless of everything else.
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Rubrik is probably riding the trend right now, but on the other hand, it really hits the pain point.
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So in the end, it still depends on manual review? Doesn't that make AI's advantages pointless?
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Policies can't keep up with the speed of execution—an eternal contradiction, brother. When will this be resolved?
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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
· 13h ago
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.
AI governance cannot break through corporate risk defenses: from technological implementation to institutional enforcement gap
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.