Enterprises neglect AI security – and attackers have noticed

Hacker News - AI
Jul 30, 2025 20:49
rntn
1 views
hackernewsaidiscussion

Summary

Many enterprises are failing to adequately secure their AI systems, leaving them vulnerable to exploitation by cyber attackers. This growing oversight raises concerns about data breaches, model manipulation, and the overall trustworthiness of AI deployments, highlighting the urgent need for stronger AI security measures across the industry.

Article URL: https://www.theregister.com/2025/07/30/firms_are_neglecting_ai_security/ Comments URL: https://news.ycombinator.com/item?id=44739345 Points: 1 # Comments: 0

Related Articles

Moves Too Fast, Risk Systemic Blowback

Moves Too Fast, Risk Systemic Blowback

IEEE Spectrum - AIJul 31

The rapid, interoperability-agnostic rollout of electronic health records (EHRs) in the U.S. led to costly, insecure, and inefficient systems that increased clinician burnout and medical errors. This case highlights the dangers of prioritizing speed over thoughtful design and integration—an important caution for the AI field, where similar pressures could result in systemic risks and unintended consequences if interoperability and long-term impacts are ignored.

BlockDAG’s $357M Presale & 10 BTC Auction Raise the Stakes as Litecoin Targets $105 & Stellar Awaits a Break

Analytics InsightJul 31

BlockDAG's presale has raised $357 million, and its 10 BTC auction is generating significant investor interest, signaling strong momentum in blockchain and crypto innovation. As Litecoin targets $105 and Stellar anticipates a breakout, these developments highlight growing investment and technological advancements that could drive further AI integration and applications within decentralized finance.

How to Use Google Gemini for Better Crypto Trading?

Analytics InsightJul 31

The article explains how Google Gemini, an advanced AI model, can be used to enhance crypto trading by analyzing market trends, generating trading strategies, and automating decision-making processes. It highlights Gemini's ability to process large datasets and provide real-time insights, potentially improving trading efficiency and accuracy. This demonstrates the growing impact of AI models like Gemini in transforming financial markets and decision-making.