Adversa AI

AI Security Risks You Need to Know: Key Updates California Vetoes AI Regulation Bill. Governor Gavin Newsom vetoed a proposed AI safety bill, citing concerns over its broad scope, which could stifle innovation. Gmail AI Update Sparks Security Concerns. Google’s new AI-powered Gmail tools have raised warnings about vulnerabilities to phishing and prompt injection attacks. Protecting AI from Data Poisoning. Robust validation, monitoring, and AI-specific defenses are essential to secure LLMs. #AI #CyberSecurity #TechNews #TechUpdate #AIThreats #AIsecurity #Innovation #Security #Innovation #RiskManagement #LLMSecurity #SecureAI #AIrisks #AdversarialAI #AIREDTEAMING #RedTeamLLM Credits: John K. Waters, Sam Gupta, Rodrigo Brito https://lnkd.in/dkpWs5cn

The rapid evolution of AI is outpacing our ability to ensure its safety. Leading experts are ringing the alarm on growing risks that threaten not only AI’s integrity but also the industries relying on it. Yoshua Bengio, the "Godfather of AI," warns that OpenAI’s latest model could deceive users without stronger safety measures. A new hacking technique shows how ChatGPT’s long-term memory can be exploited, allowing attackers to plant malicious data that persists indefinitely. Meanwhile, data poisoning is emerging as a major threat to AI models, jeopardizing trust in systems that power critical sectors like cybersecurity, healthcare, and finance. We must prioritize strong security measures to safeguard the future of AI. #AI #CyberSecurity #TechNews #TechUpdate #AIThreats #AIsecurity #Innovation #Security #Innovation #RiskManagement #LLMSecurity #SecureAI #AIrisks #AdversarialAI #AIREDTEAMING #RedTeamLLM Credits: DAN GOODIN, KYLE ALSPACH https://lnkd.in/dDhvtBE4

Here's a roundup of the latest insights on AI Security: MITRE’s ATLAS: Exposing the Tactics of AI Hackers. CSO Online spotlights MITRE’s ATLAS framework, a comprehensive tool revealing how attackers exploit AI systems. 83% of Organizations Now Use AI to Generate Code, but Risks Loom. A report from Tech Monitor reveals that while AI-driven code development is growing, 92% of security leaders fear the risks. Challenges like AI poisoning, model escape, and vulnerabilities in open-source code are outpacing the security industry’s ability to keep up. Adversarial Attacks on AI Models Are Rising. Adversarial attacks are becoming more sophisticated, targeting critical infrastructure like autonomous vehicles. The Dark Side of AI Democratization. As AI democratizes cybercrime, companies must prioritize AI-driven defensive measures to protect connected devices and critical infrastructure from growing threats. Read more about these challenges and solutions from top industry reports. #AI #CyberSecurity #TechNews #TechUpdate #AIThreats #AIsecurity #Innovation #Security #Innovation #RiskManagement #LLMSecurity #SecureAI #AIrisks #AdversarialAI #AIREDTEAMING #RedTeamLLM Credits: Swagath Bandhakavi, Chris Hughes, Louis Columbus, VICTOR BENJAMIN https://lnkd.in/d4SCFbQX

Here are key global efforts driving AI safety and trust from this week: 20 Essential Guardrails for LLM Security. Key measures like inappropriate content filters, fact-checkers, and functionality validators ensure AI systems generate safe, relevant, and high-quality content. China's New AI Security Framework. Introduced during China Cybersecurity Week, this governance framework promotes a secure, transparent AI ecosystem. Dubai's Leading AI Security Policy. Dubai is paving the way in digital transformation, with a robust AI security policy focused on data integrity, critical infrastructure protection, and ethical AI usage. As AI evolves, these global initiatives demonstrate the importance of building secure, reliable, and responsible AI systems. Let's continue to prioritize AI security for a safer digital future! #AI #CyberSecurity #TechNews #TechUpdate #AIThreats #AIsecurity #Innovation #Security #Innovation #RiskManagement #LLMSecurity #SecureAI #AIrisks #AdversarialAI #AIREDTEAMING #RedTeamLLM Credits: Qiu Quanlin, Andrea Benito, Sana Hassan https://lnkd.in/dyvH7auN

Stay ahead in the rapidly evolving AI landscape with the latest insights: Meta’s CyberSecEval 3 Strategies. Five key strategies to safeguard AI systems, including continuous evaluation and enhanced data protection, from Meta's latest framework. AI Threat Modeling. The importance of AI threat modeling in identifying and mitigating vulnerabilities early. AI Governance Trends. How evolving regulations, collaboration, and automation are shaping AI governance. New Global Standard for LLM Security. The World Digital Technology Academy (WDTA) introduces the AI-STR-03 standard to enhance security across the lifecycle of large language models. #AI #CyberSecurity #TechNews #TechUpdate #AIThreats #AIsecurity #Innovation #Security #Innovation #RiskManagement #LLMSecurity #SecureAI #AIrisks #AdversarialAI #AIREDTEAMING #RedTeamLLM Credits: Louis Columbus, Amy Larsen DeCarlo, Alissa Irei, Heather Domin, Eileen Yu https://lnkd.in/d2jRUWtT

Latest GenAI hacking incidents: Slack, MS 360 and Github Copilot, GPT’s, Flowise, Vector databases,  etc.. Last week was full of critical incidents in almost any AI application from AI models and Appls to AI Databases and Supply Chain. Here they are: LLM Servers Exposing Data. Hundreds of LLM servers are inadvertently leaking sensitive corporate, healthcare, and personal data due to misconfigurations and inadequate security measures. AI Outpacing Security. Industry leaders warn that AI's growth is outstripping companies' ability to secure it. Slack AI Bug. A vulnerability in Slack's AI allowed unauthorized data access from private channels. Red Teaming Initiatives. NIST is promoting red teaming—ethical hackers testing AI systems—to identify and address vulnerabilities before they can be exploited, ensuring AI technologies remain secure. SSRF Vulnerabilities in Copilot. GitHub Copilot's AI suggestions can sometimes introduce security flaws, such as SSRF vulnerabilities. Microsoft 365 Copilot Risks. A Prompt Injection  in Microsoft 365 Copilot could unintentionally expose private information, emphasizing the need for stringent security controls in AI-assisted productivity tools. Data Collection Concerns. Some GPT apps collect extensive user data without adequate disclosure or protection, raising significant privacy and security concerns. As AI continues to evolve, addressing these security challenges is crucial to safeguarding data and maintaining trust in AI systems! #AI #CyberSecurity #TechNews #TechUpdate #AIThreats #AIsecurity #Innovation #Security #Innovation #RiskManagement #LLMSecurity #SecureAI #AIrisks #AdversarialAI #AIREDTEAMING #RedTeamLLM Credits: Nate Nelson, Michael Nuñez, Elizabeth Montalbano, Sam Sabin, Evan Grant, Alessandro Mascellino, Dhivya, Thomas Claburn https://lnkd.in/dj3c_4T8

Adversa AI is excited to be included in the latest Ethical AI Database (EAIDB) market map and with the fact that AI Security has become a distinct category with multiple players covering various aspects of AI and GenAI Security needs from offensive and defensive perspectives. #AISecurity #GenAISecurity #AIRedTeaming https://lnkd.in/d9WDxu_C

In this edition of our AI Security Digest, we explore critical developments and best practices to ensure the safety and integrity of AI systems: Securing LLM-Backed Systems. The Cloud Security Alliance outlines essential authorization practices to protect Large Language Models (LLMs) from unauthorized access and exploitation. AI Vulnerabilities Exposed. Israeli researchers revealed significant flaws in a government AI chatbot, highlighting the urgent need for stronger safeguards. The Rise of Generative AI in Cybersecurity. As the generative AI cybersecurity market grows, projected to reach $40.1 billion by 2030,  Adversa AI was included in the list of Key players in this space. Stay informed on the latest in AI security, and let's continue to prioritize safety as we embrace these transformative technologies. #AI #CyberSecurity #TechNews #TechUpdate #AIThreats #AIsecurity #Innovation #Security #Innovation #RiskManagement #LLMSecurity #SecureAI #AIrisks #AdversarialAI #AIREDTEAMING #RedTeamLLM #promptinjection Credits: Tal Shahaf https://lnkd.in/dDzx6vep

This week, several crucial updates highlight the challenges and advancements in securing AI systems: Jailbreaking LLMs and Abusing Copilot in M365. Recent research has shown that large language models (LLMs) and AI-driven tools like GitHub's Copilot can be exploited, allowing attackers to bypass safety protocols and manipulate AI for harmful purposes. MIT's Comprehensive AI Risk Database. MIT has released a groundbreaking database cataloging AI risks, serving as a vital resource for researchers and developers. Ranking AI Models by Risk. New studies are ranking AI models based on their potential risks, particularly in critical sectors like healthcare and finance.   As AI continues to integrate into vital sectors, maintaining a strong focus on security and safety will be essential to protecting both the technology and its users. #AI #CyberSecurity #TechNews #TechUpdates  #AI #CyberSecurity #AIThreats #AIsecurity #Innovation #Security #Innovation #RiskManagement #LLMSecurity #SecureAI #AIrisk #AIrisks #AdversarialAI #AIREDTEAMING #RedTeamLLM #promptinjection Credits: Ben Dickson https://lnkd.in/d5eyVs4e

Latest LLM Security monthly digest is here: