Unlock the Future of AI Security! Our latest blog, Overcoming Adversarial Threats and Strengthening AI Defense Mechanisms, dives deep into how we can outsmart emerging threats and secure our AI systems. Written by our talented Vishnu Prakash K Das, this is a must-read for anyone passionate about pushing AI resilience to the next level. Read it now! #AI #Cybersecurity #Innovation #FoundingMinds
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As companies race to make significant investments to train and deploy new ML and GenAI models with their proprietary data, it is extremely important to be aware of and address the IP exposure risks through the Model Extraction attacks prevalent in could based AI offerings. This article from nFactor attempts to address this issue and provide counter-measures that should be planned before exposing your models and their training data to the world for consumption. As always, our experts are happy to assist with any questions on this key topic and help you improvise a plan to address these risks if you are embarking on API based model deployment of your ML or AI models.
AI Security Awareness Series Topic 4: Understanding Model Extraction and Its Implications Model extraction, or model stealing, is a significant cybersecurity threat where attackers replicate machine learning models by querying them via APIs and using the responses to train a surrogate model. This process, which can compromise the intellectual property and expose sensitive data, poses a substantial risk to AI systems, particularly those deployed as Machine Learning as a Service (MLaaS). The latest article in our awareness series, "Model Extraction: A Digital Heist", delves into the mechanics of model extraction attacks, their potential impacts, and effective mitigation strategies. Key defense mechanisms include output perturbation, query limiting, anomaly detection, adversarial training, and access control. By employing these strategies, organizations can better protect their AI models from being illicitly duplicated and exploited. Read more: https://lnkd.in/g5CcC8vW #Cybersecurity #AI #MachineLearning #ModelExtraction #DataSecurity #MLaaS #IPSecurity #AIGovernance
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🚨 Explore the Threat Landscape of AI Systems 🚨 AI systems are increasingly under attack. Our course, "The Threat Landscape of AI Systems," dives deep into the most critical security threats and how to defend against them. 📊 What’s Covered? 🔒 Data Privacy Attacks: Membership Inference Model Inversion Data Snooping ⚠️ Model Manipulation Attacks: Poisoning Attacks Gradient-Based Attacks Trojan Attacks 💼 Intellectual Property Exploitation: Model Stealing Adversarial Perturbations Extraction Attacks 🎓 Why Enroll? Gain insights into how attackers exploit AI vulnerabilities. Learn real-world examples and attack strategies. Master practical defense techniques to secure your AI systems. This course is your essential guide to identifying and mitigating AI threats, helping you protect sensitive data, maintain model integrity, and stay ahead of attackers. 📢 Follow us on LinkedIn for updates, free previews, and exclusive content! https://lnkd.in/e8yPQmpC #AI #Cybersecurity #AIsecurity #MachineLearning #AIprotection #DataPrivacy #SorsDevelopmentGroup #AIeducation
Threat Landscape of AI Systems
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🤔 Did you miss our webinar on the Role of #AppSec in #AI? 🎉 Luckily the session is now available on demand! Join leading industry experts Bar Hofesh, Chris Romeo (Protect AI), and Jerich Beason to dive into this topic! 💻 Watch now: https://lnkd.in/gbV3hQY8 #applicationsecurity #cybersecurity
The Role of AI in Application Security - Bright Security
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In today's fast-paced digital world, businesses must prioritize security and productivity to unlock the full potential of artificial intelligence (AI). Establishing a strong foundation of secure productivity is the crucial first step in preparing your organization for seamless AI integration. Get started with Coretek to learn more: https://okt.to/YGKVPv #Coretek #AI #ArtiicialIntelligence #CyberSecurity #BrianCanHelp
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OpenAI has just released GPT-4o, a new flagship model that can reason across audio, vision, and text in real-time. This is a significant step towards more natural human-computer interaction. However, as we embrace this fascinating technology, it’s crucial to remember the cybersecurity risks associated with AI. While transformative, AI can also be manipulated by cybercriminals. Threat actors can leverage AI to augment their capabilities for cyberattacks. For instance, large language models can create sophisticated spear-phishing campaigns. Deepfakes, becoming more realistic and targeted, pose another significant threat. Moreover, AI can evolve and enhance existing tactics, techniques, and procedures, lowering the access barrier for cybercriminals and reducing the technical know-how required to launch cyberattacks. As we celebrate the advancements in AI, let’s also prioritize cybersecurity. We must stay vigilant, educate ourselves, and implement robust security measures to protect against potential threats. Remember, technology is a tool, and its impact depends on how we use it. Let’s use AI responsibly and securely. Stay safe, everyone! #GPT4o #OpenAI #CyberSecurity #AI #DeepLearning #InfoSec #DataProtection #ResponsibleAI #StaySafe
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Deepfakes: The Double-edged Sword of AI in Cybersecurity! Deepfakes are revolutionizing the digital world, blending creativity and malevolence. Using AI, deepfakes create convincing fake audio, images, and videos, posing a significant threat to cybersecurity. As the technology advances, the line between reality and fiction blurs, making it essential for businesses and individuals to stay vigilant. Discover how deepfake technology works, its risks, and how to spot these digital deceits to safeguard your cybersecurity. Learn more from Fortinet's in-depth article: What Is Deepfake: https://lnkd.in/gfvSe5ks #Cybersecurity #AI #Deepfakes #Technology #DigitalSafety #Fortinet #Innovation #StaySafeOnline 🌐🔒🛡️
What Is Deepfake: AI Endangering Your Cybersecurity? | Fortinet
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In today's fast-paced digital world, businesses must prioritize security and productivity to unlock the full potential of artificial intelligence (AI). Establishing a strong foundation of secure productivity is the crucial first step in preparing your organization for seamless AI integration. Get started with Coretek to learn more: https://okt.to/xCt32X #Coretek #AI #ArtiicialIntelligence #CyberSecurity #BrianCanHelp
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AI Security Awareness Series Topic 4: Understanding Model Extraction and Its Implications Model extraction, or model stealing, is a significant cybersecurity threat where attackers replicate machine learning models by querying them via APIs and using the responses to train a surrogate model. This process, which can compromise the intellectual property and expose sensitive data, poses a substantial risk to AI systems, particularly those deployed as Machine Learning as a Service (MLaaS). The latest article in our awareness series, "Model Extraction: A Digital Heist", delves into the mechanics of model extraction attacks, their potential impacts, and effective mitigation strategies. Key defense mechanisms include output perturbation, query limiting, anomaly detection, adversarial training, and access control. By employing these strategies, organizations can better protect their AI models from being illicitly duplicated and exploited. Read more: https://lnkd.in/g5CcC8vW #Cybersecurity #AI #MachineLearning #ModelExtraction #DataSecurity #MLaaS #IPSecurity #AIGovernance
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In today's fast-paced digital world, businesses must prioritize security and productivity to unlock the full potential of artificial intelligence (AI). Establishing a strong foundation of secure productivity is the crucial first step in preparing your organization for seamless AI integration. Get started with Coretek to learn more: https://okt.to/Tvl7oB #Coretek #AI #ArtiicialIntelligence #CyberSecurity #BrianCanHelp
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Revolutionizing Cybersecurity with AI What if I told you generative AI could be our next defense against cyber threats? Enter Fordham professor Mohamed Rahouti and his groundbreaking team. They're pioneering new ways to tackle distributed denial of service attacks by expanding scenarios and enhancing machine learning detection. The results? Unprecedented success in identifying low-profile threats paves the way for AI models like ChatGPT to enter cybersecurity. Imagine a future where we thwart cyber threats in real-time with fully autonomous systems. It's not a distant dream—it's what Rahouti's team is building right now. https://lnkd.in/dk-eXtGb How do you see AI changing the cybersecurity landscape in the coming years? Share your thoughts!
Using Generative AI to Outsmart Cyberattackers Before They Strike
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