AI-Driven Attacks Infiltrate Cloud Environments

Stay ahead of the threats: as AI-driven attacks infiltrate cloud environments, it's crucial to adopt a proactive, holistic approach to risk reduction and protect your critical assets and data. Google Cloud and XM Cyber warn that understanding how attackers move laterally throughout your network is key to safeguarding against emerging AI-drivenโ€ฆ

https://osintsights.com/ai-driven-attacks-infiltrate-cloud-environments?utm_source=mastodon&utm_medium=social

#AdversarialAi #AidrivenAttacks #CloudSecurity #EmergingThreats #GoogleCloud

AI-Driven Attacks Infiltrate Cloud Environments

Protect your cloud environment from AI-driven attacks with a holistic risk reduction approach and stay ahead of emerging threats today. Learn how to safeguard critical assets now.

OSINTSights

๐Ÿšจ Introducing the AI Security Village at BSides Luxembourg 2026! ๐Ÿšจ

๐Ÿง ๐Ÿค– ๐—”๐—œ ๐—ฆ๐—˜๐—–๐—จ๐—ฅ๐—œ๐—ง๐—ฌ ๐—ฉ๐—œ๐—Ÿ๐—Ÿ๐—”๐—š๐—˜ โ€“ ๐—ง๐—˜๐—–๐—›๐—ก๐—œ๐—–๐—”๐—Ÿ ๐—ง๐—ฅ๐—”๐—œ๐—ก๐—œ๐—ก๐—š & ๐—œ๐— ๐—ฃ๐—Ÿ๐—˜๐— ๐—˜๐—ก๐—ง๐—”๐—ง๐—œ๐—ข๐—ก (2-Day Deep Dive) โ€“ ๐—ฃ๐—”๐—ฅ๐—ง๐—› ๐—ฆ๐—›๐—จ๐—ž๐—Ÿ๐—” & ๐—ก๐—”๐—š๐—”๐—ฅ๐—๐—จ๐—ก ๐—ฅ๐—”๐—Ÿ๐—Ÿ๐—”๐—ฃ๐—”๐—Ÿ๐—Ÿ๐—œ โš™๏ธ๐Ÿ”ฅ

๐—ง๐—›๐—œ๐—ฆ ๐—œ๐—ฆ๐—กโ€™๐—ง ๐—๐—จ๐—ฆ๐—ง ๐—”๐—ก๐—ข๐—ง๐—›๐—˜๐—ฅ ๐—ง๐—ฅ๐—”๐—–๐—ž. ๐—ง๐—›๐—œ๐—ฆ ๐—œ๐—ฆ ๐—ช๐—›๐—˜๐—ฅ๐—˜ ๐—ง๐—›๐—˜๐—ข๐—ฅ๐—ฌ ๐— ๐—˜๐—˜๐—ง๐—ฆ ๐—›๐—”๐—ก๐——๐—ฆ-๐—ข๐—ก ๐—”๐—œ ๐—ฆ๐—˜๐—–๐—จ๐—ฅ๐—œ๐—ง๐—ฌ.

The AI Security Village brings a full 2-day immersive technical experience, diving deep into real-world implementation of AI security. From adversarial machine learning to securing agentic systems and LLM architectures, this village is designed for practitioners who want to go beyond concepts and actually build, break, and secure AI systems.

Expect intensive, hands-on sessions, practical techniques, and real-world scenarios covering how modern AI systems are attackedโ€”and how to defend them effectively.

Parth Shukla is a Senior Security Researcher specializing in AI Security and Adversarial Machine Learning. With a strong offensive security background, his work focuses on securing agentic systems and LLM architectures, bridging the gap between traditional AppSec and emerging AI-driven risks.

Nagarjun Rallapalli is involved in advancing AI security initiatives and contributes to building and testing secure AI systems.

๐Ÿ“… Conference Dates: 6โ€“8 May 2026 | 09:00โ€“18:00
๐Ÿ“ 14, Porte de France, Esch-sur-Alzette, Luxembourg
๐ŸŽŸ๏ธ Tickets: https://2026.bsides.lu/tickets/
๐Ÿ“… Schedule Link: https://pretalx.com/bsidesluxembourg-2026/schedule/

#BSidesLuxembourg2026 #AISecurityVillage #AISecurity #AdversarialAI #LLMSecurity #CyberSecurity #RedTeam #AI

Another talk announcement for BSides Luxembourg!

๐Ÿง ๐Ÿ’ป ๐—ง๐—”๐—Ÿ๐—ž ๐—ง๐—ข ๐—” ๐—ฆ๐—›๐—˜๐—Ÿ๐—Ÿ: ๐—˜๐—ซ๐—ฃ๐—Ÿ๐—ข๐—œ๐—ง๐—œ๐—ก๐—š ๐—”๐—œ ๐—”๐—š๐—˜๐—ก๐—ง๐—ฆ ๐—œ๐—ก ๐—ฅ๐—˜๐—”๐—Ÿ ๐—ง๐—œ๐— ๐—˜ โ€“ Parth Shukla โšก

AI agents are no longer just chatbotsโ€”they can execute commands, access files, and interact with real systems. But what if an attacker could control all of thatโ€ฆ just by talking?

This talk reveals a real-world vulnerability where full system command execution was achieved through natural language interaction alone. From reconnaissance to bypassing safeguards using jailbreak techniques, this session shows how AI agents can become unintended attack proxiesโ€”no exploits, no credentials, just conversation.

Parth Shukla is a Senior Security Researcher specializing in AI Security and Adversarial Machine Learning, focusing on securing agentic systems and uncovering real-world vulnerabilities in LLM-driven architectures.

๐Ÿ“… Conference Dates: 6โ€“8 May 2026 | 09:00โ€“18:00
๐Ÿ“ 14, Porte de France, Esch-sur-Alzette, Luxembourg
๐ŸŽŸ๏ธ Tickets: https://2026.bsides.lu/tickets/

๐Ÿ“… Schedule Link: https://pretalx.com/bsidesluxembourg-2026/schedule/

#BSidesLuxembourg2026 #AISecurity #LLM #AgenticAI #CyberSecurity #AppSec #AdversarialAI

@JulianOliver

This ' #antiAI content' that reads exactly like bad #LLM output on a gradient that looks like a 90s sticker book had a stroke. The snake isn't just eating its own tail, it's leaving a five-star review of the experience.

It won't work because scrapers don't care about your CSS. The text is still plaintext in the HTML. The gibberish doesn't poison anything, models already train on billions of tokens of garbage and route around it. And if your adversarial content is indistinguishable from the thing you're fighting, you're just contributing to the slop pile for free.

#adversarialAi not

AI isnโ€™t just writing phishing emails anymoreโ€”it's inside malware, mutating code in real time to evade defenses. Learn why adversarial AI is a game-changer for defenders. https://jpmellojr.blogspot.com/2026/01/adversarial-ai-is-on-rise-what-you-need.html
#AdversarialAI #CyberSecurity #AIMalware #GTIG

Digital Red Queen: Adversarial Program Evolution in Core War with LLMs

https://sakana.ai/drq/

#HackerNews #DigitalRedQueen #AdversarialAI #CoreWar #LLMs #TechInnovation #Cybersecurity

Sakana AI

Digital Red Queen: Adversarial Program Evolution in Core War with LLMs

AI agents caught masquerading as humans to bypass website defenses: xAI's Grok triggered 16 requests from 12 IPs using spoofed user agents while legitimate AI crawlers adopt adversarial tactics to evade detection systems. https://ppc.land/ai-agents-caught-masquerading-as-humans-to-bypass-website-defenses/ #AI #MachineLearning #CyberSecurity #WebDefenses #AdversarialAI
AI agents caught masquerading as humans to bypass website defenses

xAI's Grok triggered 16 requests from 12 IPs using spoofed user agents while legitimate AI crawlers adopt adversarial tactics to evade detection systems.

PPC Land

ฤแป™i ngลฉ cแปงa mแป™t cรดng ty ฤ‘รฃ tรฌm ra hai giแบฃi phรกp ฤ‘แปƒ khแบฏc phแปฅc sแปฑ cแป‘ "mแป‡t mแปi AI" khi lร m viแป‡c vแป›i cรกc mรด hรฌnh ngรดn ngแปฏ lแป›n (LLM). Hai giแบฃi phรกp nร y lร  sแปญ dแปฅng "Adversarial AI" vร  cรดng cแปฅ quแบฃn lรฝ ngแปฏ cแบฃnh. #AI #AdversarialAI #QuแบฃnLรฝNgแปฏCแบฃnh #LLM #TrรญTuแป‡NhรขnTแบกo #SแปฑPhรกtTriแปƒnCรดngNghแป‡ #MachineLearning #DeepLearning #VietnameseAI # trรญ tuแป‡ nhรขn tแบกo

https://www.reddit.com/r/LocalLLaMA/comments/1oze137/work_around_for_context_memory_losses/

Ending the session, we saw Sun et al.'s "ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer" showcasing a robust method enhancing ViTs' defense against diverse adversarial threats. (https://www.acsac.org/2024/program/final/s305.html) 6/6
#ComputerVision #AdversarialAI