How AI’s hunger for data makes it cybersecurity’s weakest link – NaturalNews.com

• The rush to adopt AI is creating major new pathways for data breaches, identity theft and corporate espionage, making the very tools meant to secure our future into its greatest vulnerability.
• AI systems require vast amounts of data to function, but feeding them sensitive corporate or client information is likened to posting confidential files on a public noticeboard, with the company often losing control over that data.
• A critical flaw of current AI is its inability to truly delete data. Once information is absorbed by a model, it becomes a permanent, unerasable part of its core structure, creating a lasting digital shadow.
• Laws are failing to keep pace with AI, as companies exploit loopholes (e.g., arguing model training isn’t data storage) and shift operations offshore to avoid regulations, creating a dangerous accountability gap.
• Organizations must take primary responsibility by implementing strict controls, such as deploying enterprise AI with training disabled and limited data retention, and training staff to treat every AI prompt as public information.

In the global stampede to adopt artificial intelligence, a chilling reality is coming into focus: the very tools promised to secure our digital future are becoming its greatest vulnerability. As corporations race to integrate AI, cybersecurity experts warn that these systems are simultaneously creating unprecedented pathways for data breaches, identity theft and corporate espionage. This crisis, born from a headlong rush into a new technological era, threatens the privacy and security of every individual and organization.

The warning signs are stark. A 2025 Accenture report revealed a staggering 90 percent of companies lack the modernized infrastructure to defend against AI-driven threats. This year alone, the Identity Theft Resource Center has confirmed 1,732 data breaches, fueled by increasingly sophisticated AI-powered phishing attacks.

The fundamental issue lies in the architecture of AI itself. These systems are vast, data-hungry engines. To function, they must absorb immense volumes of information, and this insatiable appetite creates a critical vulnerability. When an employee inputs sensitive business data—strategy documents or client information—that information is absorbed into a system over which the company may have little control. One expert likened the practice to pinning confidential files on a public noticeboard and hoping no one makes a copy.

The multifaceted nature of the threat

The methods of data exposure are varied and insidious. Beyond traditional hacker attacks, a phenomenon known as “privacy leakage” is rampant through publicly accessible Large Language Models (LLMs). This year, a security researcher discovered 143,000 user queries and conversations from popular LLM models publicly available on Archive.org. These included sensitive corporate and personal data that had been fed into the models, now exposed for anyone to see.

The risk extends far beyond text. With multimodal AI, the threat encompasses documents, spreadsheets, meeting transcripts and video content. Once this data is shared, it can be used to train future models, potentially resurfacing in responses to queries from other users, including competitors.

A particularly hazardous blind spot lies in “vector embeddings.” This is a technical process where data is transformed into numerical representations so AI can understand it. These mathematical encodings may seem anonymous, but the original personal data is often fully retrievable.

Compounding this issue is a disturbing characteristic of current AI models: the inability to truly delete information. Unlike a traditional database, where a record can be erased, data ingested by an AI model becomes permanently embedded into its fundamental body. Cybersecurity professionals report uncovering sensitive employee discussions from corporate AI helpers months after the original messages were deleted. The information lives on, woven into the very fabric of the AI, creating a permanent, unerasable digital shadow.

The accountability gap and legislative lag

The pressure to implement AI quickly is facilitating what insiders call security catastrophes. Executives demanding rapid AI integration often force corners to be cut, resulting in systems that have access to everything without adequate oversight.

Meanwhile, legislation is being hopelessly outpaced. AI companies are exploiting significant loopholes in privacy law, often arguing that model training does not constitute data storage and is therefore exempt from deletion requirements. Some companies shift training operations offshore to avoid regulatory compliance. Existing laws focus on data gathering but fail to address how AI permanently incorporates information into its algorithms, leaving a dangerous void in accountability.

The path forward requires a fundamental shift in approach. While individuals must adopt stronger cybersecurity practices, the primary burden falls on organizations. Companies must implement strict staff awareness programs, training employees to treat every prompt entered into a public AI as if it were being published on the front page of a newspaper.

Businesses should deploy enterprise AI tools with training disabled, data retention limited, and access tightly controlled. Ultimately, organizations that fail to maintain data trust must face consequences. As this technology evolves, it expands the risk surface of privacy management, demanding a proactive, not reactive, stance.

“AI cannot delete information because its foundational programming and training data are permanent,” said BrightU.AI‘s Enoch. “It operates by accessing and processing this fixed dataset, which it cannot alter or erase. Furthermore, AI lacks the independent judgment to determine what information should be deleted from its core knowledge.”

In the race between AI as a shield and AI as a sword, the security of our digital lives hangs in the balance. The tools meant to protect us must not become the instruments of our undoing.

Watch a report on an AI powered disinformation experiment.

This video is from the Daily Videos channel on Brighteon.com.

TheEpochTimes.com

McKinsey.com

ZeroHedge.com

BrightU.ai

Brighteon.com