Defiance Capital’s Post

The rapid growth of generative AI and machine learning has led to concerns about enhanced cyber and fraud threats. Here’s how organizations can help protect themselves.

Bias alert - best panel of the conference :) And, yes, it had everything to do with the panelists, John Bansemer, Daniel Remler, and Julian Mueller-Kaler. What a group! Thanks #GNSI for putting together an amazing summit on #AI and national security. Thanks too for the College of Information and Cyberspace, National Defense University for allowing me the opportunity to participate in such meaningful exchanges. Let's keep the conversation going, and let's start working on making some meaningful progress!

🔍 The Challenge: In our digital age, the threat landscape evolves daily, making robust cybersecurity measures more crucial than ever. Hitesh Sheth shares insightful perspectives on these challenges and the urgent need for automated, real-time threat detection and response systems. Vectra AI is leading the charge with AI-driven tech that’s transforming how we protect our digital spaces. Catch the short video in the link below:

A sophisticated blend of AI and media creation techniques is transforming the digital landscape. Deepfakes, while showcasing hyper-realistic mimicry, are also fueling concerns about privacy breaches, emotional distress, and malicious financial exploitation. Check out the video version of my article for IT Logs, featuring comments and opinions from Philip Reitinger (Global Cyber Alliance), Dr. Bilyana Lilly (Warsaw Security Forum), and Suad S. Seferi >> https://lnkd.in/dp-MH5Jc

A sophisticated blend of AI and media creation techniques is transforming the digital landscape. Deepfakes, while showcasing hyper-realistic mimicry, are also fueling concerns about privacy breaches, emotional distress, and malicious financial exploitation. Check out the video version of our article, featuring comments and opinions from Philip Reitinger (Global Cyber Alliance), Dr. Bilyana Lilly (Warsaw Security Forum), and Suad S. Seferi >> https://lnkd.in/dp-MH5Jc

The juxtaposition of those topics AND your invoking GPT inspired me to follow the theme. I asked Gemini “How is matrix mathematics used in both ai and quantum computation?” It replied: Matrix mathematics plays a fundamental role in both artificial intelligence (AI) and quantum computation. Here's a brief overview of its applications in each field: AI: Matrices are essential for representing and manipulating data in various AI applications, including: Linear algebra forms the foundation for machine learning algorithms like linear regression and neural networks. Matrices are used to store and process image data in computer vision tasks. Recommendation systems leverage matrix factorization techniques to identify patterns in user-item interactions. Quantum Computation: In quantum mechanics, qubits (quantum bits) are the basic units of information. Matrices are used to: Represent the state of a qubit, where a complex number encodes the probability of it being in either 0 or 1 state. Describe quantum operations, which are manipulations applied to qubits. These operations are represented by matrices that transform the state vector of a qubit.

Cynamics is reshaping the Network Detection and Response (NDR) category with its innovative approach to network visibility and security. Unlike conventional solutions, Cynamics utilizes a sample-based model, analyzing less than 1% of network traffic, significantly reducing data processing requirements while maintaining a comprehensive network view. Learn more about how Cynamics is redefining the NDR category in our latest blog post. #Cynamics #NetworkSecurity #DataAnalysis #Innovation

Excited to join The Washington Post live this morning to see Anne Neuberger, deputy national security advisor for cyber and emerging technologies, and other leaders discuss the big questions that could shape the path forward for AI! Livestream link below for the 9am ET session.👇My takeaways to follow. #AI #ethics #ethicsinai #tech #techforgood #martech #salestech #saas #futureofai #data #crm

Advanced BEC attacks resulted in $2.9 billion in losses in 2023. AI is vital for BEC defence, but it’s not a catch-all, it must be integrated with traditional methods to manage false positives and other essential tasks. Join us for an upcoming webinar on how to bridge this gap and keep your organisation safe from BEC attacks. Edwin Moreno will explore common attack vectors utilised by threat actors and demonstrate real-world examples of the risks and impact of BEC. Register today: https://lnkd.in/gw8HYZ6i

I want to share my enthusiasm for the U.S. Department of Homeland Security's recently unveiled Artificial Intelligence Roadmap 2024. This groundbreaking policy not only underscores the transformative potential of AI in enhancing our nation's security but also solidifies the commitment to responsible and ethical AI use, protecting privacy, civil rights, and civil liberties. At Seerist, we've always believed in the power of AI to revolutionize the way we perceive and mitigate security threats. The DHS's roadmap aligns with our vision to combine cutting-edge AI technology with deep human expertise that supports and enhances security missions while being transparent and protecting privacy. https://lnkd.in/ex_xrkje