Drew Smith’s Post

"De-Risking AI", Wisely AI's latest white paper, highlights and explains five new risks of Generative AI tools: anthropomorphising chatbots; malicious and commercially protected training data; hallucinations; privacy, data security and data sovereignty; and prompt attacks. The white paper addresses each in detail, and suggest strategies to mitigate these risks. It's part of our core mission to "help organisations use AI safely and wisely." Read or download here: https://lnkd.in/gV-peEKB

The Hidden Risks of LLM APIs: Can Production Models be Compromised? In the rapidly evolving landscape of language models, the security of production LLMs (Large Language Models) accessed via API raises critical questions. Is it really possible to "steal" or compromise these sophisticated AI constructs through clever or malicious prompting? The implications are vast, touching on intellectual property rights, cybersecurity, and the ethical use of AI. I invite you to read my new article ;)

In the digital age, AI is crucial in combating deepfakes and misinformation, which pose serious threats to privacy, security, and trust. AI detects deepfakes by identifying subtle patterns and flags misinformation by analyzing linguistic structures. Challenges include the need for labeled data and the arms race between creation and detection techniques. Continued research and collaboration are key to enhancing AI's effectiveness in safeguarding truth and trust in the digital realm.

Lakshmi Raman, CIA AI Director, emphasizes the agency's commitment to responsibly integrating AI and balancing technological advancement with ethical use. Her thoughtful approach aims to mitigate bias and ensure transparency, which is vital for maintaining public trust. The CIA's use of AI, including tools like Osiris, showcases the importance of AI in modern intelligence while adhering to legal and ethical standards. https://lnkd.in/dEqK7hXV #AI #CyberSecurity #CIA #EthicalAI #TechInnovation

In the digital age, AI is crucial in combating deepfakes and misinformation, which pose serious threats to privacy, security, and trust. AI detects deepfakes by identifying subtle patterns and flags misinformation by analyzing linguistic structures. Challenges include the need for labeled data and the arms race between creation and detection techniques. Continued research and collaboration are key to enhancing AI's effectiveness in safeguarding truth and trust in the digital realm.

In the digital age, AI is crucial in combating deepfakes and misinformation, which pose serious threats to privacy, security, and trust. AI detects deepfakes by identifying subtle patterns and flags misinformation by analyzing linguistic structures. Challenges include the need for labeled data and the ongoing arms race between creation and detection techniques. Continued research and collaboration are key to improving AI's effectiveness in safeguarding truth and trust in the digital era.

In the digital age, AI is crucial in combating deepfakes and misinformation, which pose serious threats to privacy, security, and trust. AI detects deepfakes by identifying subtle patterns and flags misinformation by analyzing linguistic structures. Challenges include the need for labeled data and the ongoing arms race between creation and detection techniques. Continued research and collaboration are key to improving AI's effectiveness in safeguarding truth and trust in the digital era.

🎶 AI🎵 AI 🎼 AI.... AI AI AI AIAI lalalalalala ... That's it, I'm in ! So, while you are surfing the hype, are you sure you got your security checked ? Did you implement DLP (data leak prevention) on your AI input/output ? Have you implemented proper policies ? Have you trained your human for proper use of Anti Intelligence ? ...sorry, I mean, Artificial Intelligence, Anti human Intelligence :P .... yes, it's a proven fact, AI makes us dumb. The more AI takes over, the less we develop our abilities, and the more stupid we are. This is counted in AI roadmap to take over human intelligence. On one side, AI get better, on another side, we dumb down users, so AI will sooner be above users... ;) think about it. connected=hacked #cybersecurity #AI

Research is latest in a growing body of work to highlight troubling weaknesses in widely used generative AI tools. https://lnkd.in/eibEzHQm #cybersecurity #ciberseguridad #ai #artificialintelligence

🔍 The Palo Alto Networks Unit 42 team has unveiled a new ai cybertechnique called Deception Delight targeting Large Language Models (LLMs) 🔍 This technique involves camouflage and distraction, allowing attackers to trick LLMs into bypassing security protocols, potentially exposing sensitive information or generating harmful content. This approach demonstrates vulnerabilities in AI moderation mechanisms, making it essential to improve defensive tactics. 🛡️ How can we protect the ai systems from these type of attacks? * Enhanced Prompt Screening: AI systems need stricter filters for detecting suspicious prompts or disguised intentions. * Real-time Monitoring: AI responses should be continuously monitored to detect unexpected deviations or security risks. * Human-in-the-Loop Oversight: Integrate human oversight to catch AI-generated risks that automated systems may miss. * Security-First AI Training: Train AI to recognize complex threat prompts through examples, strengthening its security layer. Read more about it: https://lnkd.in/dq7RGYzB #cybersecurity #ai #llm #unit42 #promptengineering