🚀 Over the last ten days, I completed Lakera's AI Security Course, where I learned about various AI security threats and how to mitigate them. Beyond prompt injections in language models like ChatGPT, there are several other existing attacks on AI systems, including model-based attacks, data breaches, AI supply chain attacks, DoS attacks, and social engineering attacks. These threats underscore the importance of robust security measures in safeguarding AI technologies. I delved into AI/LLM red teaming, a crucial practice for ensuring the safety and reliability of AI systems, covering application security, stack security, and infrastructure security. Looking forward to expand my knowledge and skills in this vital field to effectively address these multifaceted challenges. #AISecurity #Cybersecurity (And what would a post about LLMs be if this text wasn't polished by the very same (hopefully secure) technology).
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Thrilled to announce that I've just completed Lakera's AI Security Course! This program provided an insightful introduction into the critical aspects of securing artificial intelligence systems. Here are the topics I found particularly engaging: ⚫ Understanding GenAI Threats: The evolving landscape of Generative AI threats and potential vulnerabilities. ⚫ Securing AI Applications: Best practices for building robust security measures into AI applications. ⚫ LLM Red Teaming: Practical knowledge on red teaming techniques for Large Language Models (LLMs) to identify and mitigate potential security risks. ⚫ Evolving Role of the CISO: How the CISO's responsibilities now extend beyond traditional IT security. ⚫ The EU AI Act: Discussion of the EU AI Act's. I highly recommend Lakera's AI Security Course to anyone interested in the secure development of GenAI applications. #Lakera #AISecurity #CyberSecurity #ContinuousLearning
Check out Homer Frias's Lakera 101 AI Security Course certificate issued by Certified by Lakera AI.
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🚀 Day 15 of our AI Learning Advent Calendar is here, and it’s all about Security in AI! 🔒 Security in AI is a fundamental concern as these systems are becoming integral to various sectors. Ensuring the security of AI involves several key aspects: data protection, algorithm integrity, and resilience against adversarial attacks. 🗂️ Data used in AI systems must be protected from breaches and unauthorized access. Algorithm integrity is crucial to prevent tampering and ensure that AI systems produce reliable and accurate outputs. Additionally, AI systems must be robust against adversarial attacks, where malicious entities attempt to deceive or manipulate AI models for nefarious purposes. 🔑 Microsoft prioritizes the security of its AI technologies through a multi-faceted approach. The company implements rigorous data protection measures, including encryption and access controls, to safeguard user information. 🔎 Microsoft's AI systems are designed with integrity checks and monitoring mechanisms to detect and prevent tampering. The company also invests in research to develop AI models that are resilient against adversarial attacks, ensuring that their technologies remain reliable and secure in the face of emerging threats. 🎓 By adhering to these principles, Microsoft ensures the security of its AI systems and fosters trust among its users and stakeholders. You can learn how to keep your AI secure at https://lnkd.in/eafxe8bN #AI #Security #MSAdvocate #alwayslearning #microsoftlearn
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On AI and Cybersecurity. I am a fan of AI, but it goes much deeper than the current Chatbots. Industries have been using AI before anyone heard of a chatbot. Doctors have been using AI to read diagnostics for a while now. I noted that Microsoft has built an AI for the American intelligence community. It is air-gapped. Different industries have different uses for AI. Some of their uses are beyond my comprehension. AI is a tool; some of us fear it because we don't understand it. I found a person outside of IT who is scared to death of it. This is not because an AI can easily read blood slides and find things the human eye cannot (her current line of work), but because we have movies such as The Terminator, Wargames, or one of my old favorites, the Forbin Project.
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The Race for AI-Powered Security Platforms Heats Up Major players like Microsoft and Google are heavily investing in generative AI tools for cybersecurity. Security Copilot by Microsoft and a similar rival service aim to automate breach detection and data analysis. Startup Simbian has entered the market, leveraging generative AI and large language models to streamline security processes. The burning question remains: Will cybersecurity teams trust these automated systems to perform effectively? As AI disrupts the cybersecurity landscape, will human trust in automation be the key to unlocking its full potential? AI: Artificial Intelligence #AI, #Cybersecurity, #Automation, #SecurityPlatforms, #CyberTech Source: https://lnkd.in/eucH7zMJ, Becky Bracken, Senior Editor, Dark Reading
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Some #cybersecurity and general #IT thoughts about #AI, focusing on availability and the opportunities of the AI training bubble pop: https://lnkd.in/ePrxKnjB Also, remember to opt out of Linkedin's AI data collection: https://lnkd.in/eMZNWTdA
Quick Cyber Thoughts: More Reasons for Local AI
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🎉 Just unlocked a new level in my AI journey: Securing AI Models and Avoiding Pitfalls in Enterprise AI Strategy! 🚀 In the world of AI, it’s not just about building smart models—it’s about making sure they don’t go rogue! 🤖🔒 From data privacy to model integrity, understanding how to secure these powerful tools is crucial. After all, what’s the point of having a genius AI if it’s not playing by the rules? 😅 This certification has taught me not just how to harness AI's potential, but also how to steer clear of the landmines that could derail an entire enterprise strategy. Ready to put this knowledge to work and help build AI solutions that are as secure as they are smart. 🧠✨ Remember, in AI as in life, it’s not just about taking the right steps—it’s about avoiding the wrong ones too! 😉 #AI #cybersecurity #innovation #EnterpriseAI
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The integration of Artificial Intelligence (AI) and Machine Learning (ML) has emerged as a crucial element of cybersecurity strategies. Leading the charge, Microsoft and OpenAI have set new benchmarks and transformed the cybersecurity landscape. AI is considered an unparalleled tool in identifying subtle patterns and predicting threats, making it a robust addition to any cybersecurity arsenal. Microsoft's cybersecurity investments leverage Azure AI to enhance threat intelligence, while OpenAI's AI models, such as GPT-4, provide unparalleled analytical capabilities. The partnership between Microsoft and OpenAI is a fusion of their respective visions, creating a formidable force in predictive security. Together, they are revolutionizing how enterprises defend against sophisticated cyber attacks, setting them apart from the rest. Both Microsoft and OpenAI deploy deep learning techniques to automate complex decision-making processes, providing a critical edge in real-time threat analysis. As responsible AI developers, they ensure that AI advancements serve to enhance security, privacy, and compliance frameworks. In the healthcare sector, Microsoft and OpenAI's AI solutions secure patient data, ensuring the integrity and confidentiality of health records, thus safeguarding against potentially life-threatening data breaches. Their AI-powered tools are not just reactive but predictive, marking a paradigm shift from traditional cybersecurity methods to intelligent, dynamic defenses. It's clear that AI is not just the future but the present of cybersecurity. With each advancement, Microsoft and OpenAI redefine what it means to be secure in the digital age by anticipating threats, not just responding to them. Join the conversation: How do you see AI shaping the future of cybersecurity? #CyberSecurity #AI #MachineLearning #Microsoft #OpenAI #Innovation #EthicalAI #HealthcareSecurity #GlobalImpactThe integration of AI and Machine Learning (ML) has become a crucial aspect of cybersecurity strategies. Microsoft and OpenAI are leading the charge, establishing new benchmarks and transforming the cybersecurity landscape.
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Completed "Security Risks in AI and Machine Learning" #certificate. Gained insights into categorizing #attacks and #failure modes to ensure secure #AI systems. #securityrisk #artificialintelligence #AI #MachineLearning #CyberSecurity #neevai #AIcloud #machinelearning https://lnkd.in/dpD_J_WE
Certificate of Completion
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From Our Training Alliance Partner World Wide Technology TECBOMO has successfully completed dynamic training in AI Security Fundamentals, provided by our valued training alliance partners at World Wide Technology. This comprehensive training program has equipped our team with the latest knowledge and skills to navigate the evolving landscape of #AIsecurity. By understanding the potential threats and vulnerabilities associated with AI technologies, we are better prepared to safeguard our systems and protect sensitive data. This investment in training demonstrates our commitment to staying ahead of emerging challenges and ensuring the highest standards of security for our #AI initiatives. https://lnkd.in/ewf495zJ
AI Security Learning Path Achievement
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With the rise of AI, companies are employing Artificial Intelligence in writing APIs to accelerate the development process. While AI can't replace human experience, it reduces time and effort needed for pure human development. It also maintains consistency across large projects. This has potential to introduce new security risks. Generated vulnerabilities in code, inconsistent practices, and inadequate user input validation must not be overlooked. In the end, AI is a powerful tool, but human expertise remains paramount for secure, reliable APIs. #AI #APIDevelopment #Cybersecurity #TechInnovation
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Well done Niklas Britz! 🙌🏼