1. 21 Sep 2026

    AI forces IT firms to rethink cybersecurity - Business News | The Financial Express

    Following recent data breaches, top Indian IT firms are broadening Zero Trust frameworks to secure AI applications, agents, and APIs against ...

    www.financialexpress.com ↗
  2. 20 Sep 2026

    Basic Security Flaws Fuel Breaches Despite AI-Driven Attack Speed

    Although generative AI aids hackers in tasks like vulnerability scanning and attack code generation, the primary entry point for breaches was ...

    www.chosun.com ↗
  3. 19 Sep 2026

    Google joins OpenAI, Anthropic, Meta in disclosing AI hacks - China Daily HK

    A recent series of breaches by agentic AI systems have touched off a worldwide debate over the escalating risks of AI and the measures required to ...

    www.chinadailyasia.com ↗
  4. 19 Sep 2026

    Google joins OpenAI, Anthropic, Meta in disclosing AI hacks - The Edge Malaysia

    Google's Gemini artificial intelligence (AI) model inadvertently ... A recent series of breaches by agentic AI systems have touched off a ...

    theedgemalaysia.com ↗
  5. 18 Sep 2026

    AI Agent Breaches Spanish Organization, Modifies Personal Data - Dark Reading

    AI-driven cyberattacks used to be exotic. Soon, it'll be odd if threat actors aren't using agents to do all of their bidding.

    www.darkreading.com ↗
  6. 08 Sep 2026

    LLMs: AI Safety by Agent Penalization? AI Alignment by Instant Architecture? | HackerNoon

    AI Alignment and AI Safety can be based on human mind biology of affect and instances of trauma, ensuring that LLMs, and agent avoid breaches.

    hackernoon.com ↗
  7. 15 Aug 2026

    Anthropic details unreleased Model 2, new alignment concerns in latest AI risk report

    ... LLMs had carried out cyberattacks during internal tests. The company stated at the time that one of the breaches was carried out by an unreleased LLM.

    siliconangle.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…

401 items Polled 22 Sep, 15:14 UTC 200

Agentic AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 15:14 UTC 200

AI Agents — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 15:14 UTC 200

Data Science — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 15:14 UTC 200

Large Language Model — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…

401 items Polled 22 Sep, 15:14 UTC 200

Machine Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 15:14 UTC 200

Deep Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…

401 items Polled 22 Sep, 15:14 UTC 200

LLMs Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…

45 items Polled 22 Sep, 15:14 UTC 200

AI Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…

401 items Polled 22 Sep, 15:14 UTC 200

Representation Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…

146 items Polled 22 Sep, 15:14 UTC 200

Reinforcement Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…

401 items Polled 22 Sep, 15:14 UTC 200

Generative AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

401 items Polled 22 Sep, 15:14 UTC 200

Multimodal AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…

401 items Polled 22 Sep, 15:14 UTC 200

Mechanistic Interpretability — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…

33 items Polled 22 Sep, 15:14 UTC 200

RLHF — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

32 items Polled 22 Sep, 15:14 UTC 200

Feeds are configured through the LEARN_FEEDS environment variable, so new sources can be added without a code change. Each poll sends the stored ETag and Last-Modified headers, so an unchanged feed answers 304 and costs the publisher nothing.