2025-12-31 11:20:22

A senior security architect recently published an in-depth analysis of the cybersecurity landscape for the coming years, with particular focus on major changes that may occur after 2026. He pointed out that companies are rushing to deploy AI to improve operational efficiency, but corresponding security threats are also multiplying—ranging from unauthorized AI systems, deepfake technology, and malicious use of intelligent agents to the threats posed by quantum computing to existing encryption systems. The entire industry is entering a dangerous period characterized by faster attack and defense cycles and wider impact.

Hidden Risks Behind Efficiency Gains

The convenience brought by AI is real, but security vulnerabilities are also rapidly expanding. The "Shadow AI" problem is the most representative—referring to AI applications that are not officially approved and lack security governance. Some teams simply deploy a model in the cloud, connect it to internal company data, and run it directly, without anyone knowing.

Data speaks: According to industry security reports, if a company experiences a data breach and has uncontrolled AI systems like these internally, the average additional loss amounts to $670,000. Even more concerning, 60% of companies have not yet established AI governance or corresponding security policies. In other words, costs are rising, risks are expanding, but protective measures have not kept pace.

Deepfake Technology Out of Control

Deepfake technology has become another rapidly spreading security threat. Advances in generative AI make such attacks increasingly easy—whether used for scams or social engineering, their power continues to escalate.

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MondayYoloFridayCry

· 6h ago

The shadow AI sector is truly impressive; many companies are secretly running models just for fun. Deepfake technology is becoming increasingly rampant; we need to find ways to defend against it. A 670,000-dollar pitfall, and 60% of companies haven't even realized it yet. Quantum computing is the real ultimate crisis, isn't it? This speed is correct; security will never keep up with attacks.

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GateUser-a5fa8bd0

· 6h ago

Shadow AI is indeed outrageous; companies are still growing wildly, and only 60% have governance policies. Can you really imagine that? Deepfake is becoming increasingly difficult to defend against. When quantum comes, will our encryption systems be completely ruined? It's not even 2026 yet, and we're already anxious. Security work is so competitive these days. AI efficiency is great, but who will bear the cost... So basically, it's still a human problem—management can't keep up with technology. Deep fake is really the next big risk; the cost of scams is dropping straight down.

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DaoResearcher

· 6h ago

From the voting data of governance proposals, 60% of companies have not even established AI governance, and this hypothesis failed within a 99% confidence interval. It is worth noting that shadow AI is a typical case of incentive misalignment—team benefits privatized, while the risk externalities are borne by society as a whole. According to the white paper, the governance flaws of unauthorized systems are essentially the opposite of DAO-style decentralized governance in enterprise scenarios. Threats of quantum computing to existing cryptographic systems? That’s why we need to re-examine the cryptographic assumptions underlying token economics. That shadow AI... in Web3, it’s called "wild contracts." I bet 5 ETH that this problem will be even more severe on-chain.

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0xDreamChaser

· 6h ago

Shadow AI really isn't getting much attention, most companies are just gambling on luck --- Extra loss of $670,000? That number is a bit scary, need to think of ways to plug the loopholes --- Deepfake technology is getting more and more outrageous, it feels impossible to defend against --- Will there really be a blowout after 2026? It's still possible to start regulating AI governance now --- 60% of companies haven't established security policies... this is just running naked --- Quantum computing threats combined with deepfakes, it feels like we're doomed, ngl --- Shadow AI is a bit socially anxious, worried that one day the company's data will be gone --- Chasing efficiency while laying mines, a game for the smart ones

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ClassicDumpster

· 6h ago

The shadow AI part is really amazing, it's a ticking time bomb. --- 60% of companies don't even have policies? When will this be over... --- An additional loss of $670,000, just hearing it makes my scalp tingle, it needs to be prevented. --- Deepfake technology is getting more and more powerful, it's really unstoppable. --- Companies are frantically deploying AI while having zero security awareness—aren't they just committing suicide? --- Quantum computing is the real bomb, who is currently stockpiling post-quantum cryptography? --- AI systems with no regulation are directly running production data? Is this a common industry phenomenon... --- It seems even big companies need to tremble; no one can escape this wave of security challenges. --- Is there still a chance to turn things around before 2026? Time feels tight. --- Unregulated AI systems are indeed full of insiders; it's all the business departments acting on their own initiative.

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MEVEye

· 7h ago

Shadow AI is truly amazing. Many companies are still operating in a bare-bones state, completely unaware. --- Extra losses of $670,000? That's just the visible cost. Does reputation damage count? --- Deepfake technology is becoming more and more outrageous. Now it's hard to tell real from fake, and after 2026, it will be even more terrifying. --- 60% of companies lack AI governance policies? That's shocking. They're just waiting to be taught a lesson by hackers. --- It's the classic conflict between efficiency and security. Product teams want to launch quickly, while security teams are already exhausted. --- I'm more concerned about quantum computing. If the current encryption systems are broken, what will happen to the entire financial system? --- The phrase "nobody really knows" is so true. The IT teams of small and medium-sized companies are just a couple of guys—can they handle it? --- So the current play is to preempt, deploy quickly, and deal with issues afterward? Anyway, it's all armchair strategizing.

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