Organizations face a critical disconnect between their data protection protocols and actual practices

Date:
Sat, 02 Nov 2024 20:07:00 +0000

Description:
AI adoption accelerates while organizations grapple with data security challenges, revealing a gap between established protocols and employee compliance in safeguarding sensitive information shared with public language models.

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From streamlining operations to automating complex processes, AI has revolutionized how organizations approach tasks - however, as the technology becomes more prevalent, organizations are discovering the rush to embrace AI may come with unintended consequences.

A report by Swimlane reveals while AI offers tremendous benefits, its
adoption has outpaced many companies' ability to safeguard sensitive data. As businesses deeply integrate AI into their operations, they must also contend with the associated risks, including data breaches, compliance lapses, and security protocol failures.

AI works with Large Language Models (LLMs) which are trained using vast datasets that often include publicly available information. These datasets
can consist of text from sources like Wikipedia, GitHub, and various other online platforms, which provide a rich corpus for training the models. This means that if a companys data is available online, it will likely be used for training LLMs. Data handling and public LLMs

The study revealed a gap between protocol and practice when sharing data in large public language models (LLMs). Although 70% of organizations claim to have specific protocols to safeguard the sharing of sensitive data with
public LLMs, 74% of respondents are aware that individuals within their organizations still input sensitive information into these platforms.

This discrepancy highlights a critical flaw in enforcement and employee compliance with established security measures. Furthermore, there is a constant barrage of AI-related messaging which is wearing down professionals and 76% of respondents agree that the market is currently saturated with AI-related hype.

This overexposure is causing a form of AI fatigue and over half (55%) of
those surveyed reported feeling overwhelmed by the persistent focus on AI, signalling that the industry may need to shift its approach to promoting the technology.

Interestingly, despite this fatigue, experience with AI and machine learning (ML) technologies is becoming a crucial factor in hiring decisions. A
striking 86% of organizations reported that familiarity with AI plays a significant role in determining the suitability of candidates. This shows how ingrained AI is becoming, not just in cybersecurity tools but in the
workforce needed to manage them.

In the cybersecurity sector, AI and LLMs have had a positive impact, as the report claims 89% of organizations credit AI technologies for boosting the efficiency of their cybersecurity teams. More from TechRadar Pro Rise in AI and ML deals are putting businesses at risk Cyber resilience in the age of AI These are the best internet security suites



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Link to news story: https://www.techradar.com/pro/Organizations-face-a-critical-disconnect-between -their-data-protection-protocols-and-actual-practices


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