Edwin Huertas’ Post

In the 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 landscape, 𝗔𝗜 is often seen as a 𝘁𝗵𝗿𝗲𝗮𝘁:  1. Advanced Phishing and Social Engineering 2. Deepfakes and Synthetic Media 3. AI-powered Malware and Ransomware 4. Evasion Techniques Against Security Systems 5. Password Cracking and Authentication Attacks 6. Automated Vulnerability Scanning 7. Adversarial AI Attacks 8. AI-driven Botnets 9. Information Harvesting and Reconnaissance 10. Manipulating Financial Markets and Transactions 11. Voice Recognition System Exploitation 12. Enhancing Spam and Fake Reviews 13. Supply Chain Attacks 14. Cloud Service Exploitation 15. Automated Threat Development In this post by Abdulla Al Seiari, we see AI as an 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 with 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 that leverage AI for anomaly detection, predictive analytics, and automated responses to counteract threats. Each coin always has two faces!

📣 NEW REPORT: The rise of shadow AI in enterprise organizations Our latest report, "Out of the Shadows," dives into how businesses are grappling with the growing challenge of unauthorized AI use within their organizations. With 73% of US companies now using AI in some capacity—a new phenomenon has emerged: shadow AI. This unsanctioned use of AI tools is creating unprecedented security vulnerabilities and reputational risks, while simultaneously driving grassroots innovation. Our research reveals a complex landscape where organizations are walking a tightrope between security and agility, with some embracing a "restrict by default" approach while others opt for a more permissive "approve by default" model. How can organizations strike the right balance? What strategies are proving most effective in harnessing the potential of AI while mitigating its risks? Download the full report at https://lnkd.in/eNKAivbx or reach out to inquiry@nrgmr.com for a personalized walkthrough with our team of AI and enterprise technology experts. #ShadowAI #GenAI #AIResearch #InnovationManagement #Cybersecurity

We've been hearing a lot of questions about Shadow AI, but not a lot of answers, so we put our curious minds to work to understand current behaviors & sentiments and unpack the implications for enterprises and Tech companies. Interesting quote: "leaders were most concerned about shadow AI as practiced by their most tech-literate employees who are the most likely to create significant data vulnerabilities." DM me if you want to learn more. Great collaborating with the team on this! Fergus Navaratnam-Blair Grady Miller Nicole Speulda Clouser Nick Crofoot Aaron Williams Jasmina Saleh Susan Hoxie

How corporate IT deals with usage of AI in their companies has enormous implications for the pace of AI adoption and how businesses leverage it. This piece is a must read for anyone who deals with B2B tech. I had some great discussions with IT Decision Makers in the course of conducting this research, working with a great group of collaborators here at NRG - some of the best in the biz! Fergus Navaratnam-Blair Grady Miller Nicole Speulda Clouser Nick Crofoot Rob Barrish Jasmina Saleh Susan Hoxie

🚨 AI in Action: Tackling Insider Threats 🚨 Insider threats are among the toughest challenges we face in cybersecurity. Why? Because they involve people—trusted users with legitimate access. Traditional defenses often struggle here, but AI is changing the game, moving us beyond static rules to more adaptive, context-aware security. Here’s how AI makes a difference: - Behavioral Profiling That Learns: AI builds an evolving understanding of user activity, adapting to what’s “normal” and flagging what’s not. - Instant Anomaly Detection: Instead of periodic checks, AI continuously monitors for unusual behavior, enabling faster responses. - Context Matters: AI looks at user roles, locations, and history, reducing noise and honing in on genuine risks. - Connecting the Dots: By correlating data across multiple sources, AI paints a fuller picture of potential threats. - Smart Filtering & Fast Response: With intelligent alerting and automated actions, we can focus on what really matters. At the end of the day, it’s about staying one step ahead and keeping people—and their data—safe. #CyberSecurity #AI #InsiderThreats #HumanElement

Our latest thought leadership report, "Out of the Shadows," explores the rise of shadow AI and the security and innovation challenges it brings to businesses. I had the pleasure of helping bring this insightful piece to life. Check it out to learn more about this emerging trend!

Excited to share our latest thought leadership piece with you, "Out of the Shadows.” This report dives into the complexities surrounding shadow AI and provides actionable insights for organizations looking to balance innovation with governance. Hit me up if you are interested talking about this topic! Great to work with my colleagues Aaron Williams Fergus Navaratnam-Blair Grady Miller Nick Crofoot Jasmina Saleh Susan Hoxie

🌐The OWASP Top 10 for LLM Applications and Generative AI 🤖 In the rapidly evolving world of Generative AI and Large Language Models (LLMs), innovation comes with its fair share of challenges. As these technologies become increasingly integrated into business processes, ensuring their security is paramount. That’s where the OWASP Top 10 for LLM Applications steps in. This new framework highlights critical vulnerabilities specific to LLMs and Generative AI systems, ensuring organizations are equipped to mitigate potential risks. ⬇️ Here are OWASP Top 10 For LLM Applications and Generative AI For businesses leveraging AI, particularly in customer support, e-commerce, or healthcare, the implications of these vulnerabilities are huge—from data breaches to brand reputation damage. By addressing these vulnerabilities early, organizations can safely harness the power of AI without compromising security. 👉At DigiSec360°, we specialize in AI Security Audits and Vulnerability Assessments tailored for emerging technologies. Let’s ensure your AI systems are not just innovative, but also secure. 🛡️ Secure Your AI Journey Today! Connect with us to learn how we can help safeguard your LLM applications. 👉To secure your Business with AI contact us at : contact@digisec360.in. 👉Follow DigiSec360° for such informative articles and news on cybersecurity. #digisec360 #Cybersecurity #GenerativeAI #OWASP #LLMSecurity #ArtificialIntelligence #BusinessDevelopment #digitalassets #Vulnerabilitymanagement #penetrationtesting

🌐 Securing AI Algorithms from Adversarial Attacks: A Crucial Imperative in Cybersecurity! 🔐✨ In our rapidly evolving digital landscape, artificial intelligence (AI) is transforming industries, making processes smarter and more efficient. However, with great power comes great responsibility—and adversarial attacks pose a significant threat to the integrity of our AI systems. These cunning attacks subtly manipulate input data, leading to catastrophic consequences that can disrupt operations and undermine trust. 👉 Why Should We Care? As AI continues to penetrate critical sectors like healthcare, finance, and autonomous systems, securing AI algorithms isn’t just an option—it’s a necessity. Here’s how we can fortify our defenses against these evolving threats: 1. 🔄 Adversarial Training: By incorporating adversarial examples into our training datasets, we empower models to recognize and withstand manipulative inputs. This proactive strategy is key to building resilience! 2. 💡 Model Distillation: Simplifying complex models through distillation not only enhances efficiency but also reduces susceptibility to attacks. A streamlined model is often a more secure one! 3. 🛡️ Input Validation: Establishing rigorous input validation processes acts as a vital shield, detecting and filtering out malicious data before it wreaks havoc on our AI systems. 4. 🔍 Robustness Testing: Regularly testing AI models against known adversarial techniques helps us identify vulnerabilities before they can be exploited. Staying ahead of the curve is crucial! 5. 🤝 Diversity in Models: Embracing ensemble methods by combining multiple models creates a layered defense, minimizing the risk of a single point of failure. Together, we are stronger! 🌟 Let’s Join Forces! As we navigate this new frontier, prioritizing cybersecurity measures that adapt and evolve with emerging threats is paramount. The future of AI cybersecurity relies on collaboration, innovation, and vigilance. What steps is your organization taking to secure its AI systems? Share your insights below! Let’s spark a discussion on safeguarding our digital future! 💬🔍 #AI #Cybersecurity #MachineLearning #AdversarialAttacks #DataProtection #AIAlgorithms #CyberDefense #TechInnovation #Security #AIethics Aryan Singh CommandLink Silent Breach

𝙏𝙧𝙚𝙣𝙙𝙨 𝙞𝙣 𝘾𝙮𝙗𝙚𝙧𝙨𝙚𝙘𝙪𝙧𝙞𝙩𝙮: 𝗜𝘀 𝗬𝗼𝘂𝗿 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗦𝘁𝘂𝗰𝗸 𝗶𝗻 𝘁𝗵𝗲 𝗣𝗮𝘀𝘁? 𝗛𝗲𝗿𝗲'𝘀 𝗛𝗼𝘄 𝗔𝗜 𝗶𝘀 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗗𝗲𝗳𝗲𝗻𝘀𝗲! Cybercriminals are constantly upping their game, but what if your defenses could learn and adapt too? That's the power of Artificial Intelligence (AI) and Machine Learning (ML) in cybersecurity. Traditionally, security relied on static rules. AI and ML are game-changers. These technologies can analyze massive amounts of data to; • 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝗻𝗲𝘃𝗲𝗿-𝗯𝗲𝗳𝗼𝗿𝗲-𝘀𝗲𝗲𝗻 𝘁𝗵𝗿𝗲𝗮𝘁𝘀: AI can recognize subtle patterns that might escape human analysts, detecting new and emerging threats before they cause damage. • 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗧𝗵𝗿𝗲𝗮𝘁 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲: ML can automate repetitive tasks, freeing up security experts to focus on complex issues. This allows for faster and more efficient response to attacks. • 𝗣𝗿𝗲𝗱𝗶𝗰𝘁 𝗮𝗻𝗱 𝗣𝗿𝗲𝘃𝗲𝗻𝘁 𝗔𝘁𝘁𝗮𝗰𝗸𝘀: By analyzing past data, AI can predict potential attacks and take preventative measures to stop them before they happen. While AI is powerful, it's not a silver bullet. Security analysts are still vital for interpreting AI's insights and making crucial decisions. The future of cybersecurity is a collaborative effort between humans and AI. Are you ready to embrace the future of cybersecurity? #AI #cybersecurity #machinelearning #threatdetection #infosec #H4K-IT #Tanzania #securityanalysis #trends