Bert Blevins


Bert Blevins press release archive

  •   In today’s digital age, securing personal identity is more crucial than ever before. As traditional security methods such as passwords become increasingly ineffective, AI-powered facial recognition is emerging as a game-changer in the realm of identity verification. Utilizing deep learning algorithms, these advanced systems are capable of analyzing micro-movements and ensuring real-time liveness detection, enhancing their accuracy and reliability. AI’s ability to adapt and...

  • Cyber risks targeting the banking sector are growing exponentially, posing a significant threat to financial institutions and their customers. As cybercriminals continue to exploit vulnerabilities, it is essential for banks to stay vigilant and implement robust defenses to protect sensitive information and maintain customer trust. Key threats that banks are currently facing include: Phishing Attacks: These attacks deceive individuals into revealing their credentials, leading to fraud and...

  • In the ever-evolving landscape of cloud security, the sheer volume of security alerts can be overwhelming. But not all alerts are created equal, and many fail to deliver the actionable insights needed to address real threats. Fortunately, artificial intelligence (AI) is transforming cloud security, cutting through the noise, and ensuring businesses can focus on what truly matters. AI’s ability to filter out irrelevant alerts is a game-changer. By utilizing machine learning, AI systems are...

  • In an era where digital threats are evolving rapidly, Multi-Agent Collaboration (MCP) is revolutionizing the way cybersecurity systems operate. MCP brings together specialized AI agents to work in tandem, addressing threats in real-time and providing a more robust, coordinated defense against cyberattacks. What is MCP? MCP represents a new paradigm in cybersecurity, where multiple AI agents collaborate seamlessly to enhance network security, protect identities, and improve response coordination. This...

  • In an era where digital threats are evolving rapidly, Multi-Agent Collaboration (MCP) is revolutionizing the way cybersecurity systems operate. MCP brings together specialized AI agents to work in tandem, addressing threats in real-time and providing a more robust, coordinated defense against cyberattacks. What is MCP? MCP represents a new paradigm in cybersecurity, where multiple AI agents collaborate seamlessly to enhance network security, protect identities, and improve response coordination. This...

  • A new LinkedIn post highlights an in-depth demo on Event Handling using the Model Context Protocol (MCP), offering a practical look at how modern AI systems achieve context-aware intelligence. The session demonstrates how external data, semantic context, and action agents work together to generate meaningful, real-time insights within AI-driven workflows. The demo walks viewers through the core components of MCP and how they interact to support intelligent decision-making: Context Providers...

  • Design patterns are increasingly recognized as a critical foundation for building robust, scalable, and efficient AI systems. While traditionally associated with software engineering, design patterns play an equally vital role in shaping modern AI architectures by promoting structure, consistency, and long-term maintainability. Incorporating established design patterns enables developers and AI practitioners to create cleaner, more reusable system components that can scale as complexity grows. Patterns...

  • AI-powered drones and robotics are rapidly transforming how field inspections are conducted across critical industries, including energy, agriculture, and infrastructure. By integrating artificial intelligence with autonomous systems, organizations are redefining monitoring, inspection, and optimization processes in ways that were previously impossible. These AI-driven technologies deliver real-time monitoring with accuracy levels reaching up to 90 percent, enabling faster and more...

  • Agentic AI is rapidly redefining how artificial intelligence is designed, deployed, and scaled. Unlike traditional AI models, agentic systems are capable of perceiving their environment, reasoning through complex problems, taking autonomous actions, and continuously learning from outcomes. This shift represents a major step toward more adaptive, resilient, and human-aligned AI solutions. Learning Agentic AI begins with understanding agent fundamentals, including how agents are structured, how they make...

  • Businesses across industries are rethinking inventory management as artificial intelligence reshapes how demand is predicted and stock is replenished. The latest advances in AI Copilots, LightGBM machine learning models, and real-time data analytics are driving a major shift toward smarter, faster, and more resilient inventory systems. AI Copilots are transforming decision-making by supporting teams with intelligent recommendations for replenishment and allocation, reducing guesswork and manual...

  • AI-driven generative design is redefining the future of manufacturing by enabling faster innovation, improved efficiency, and smarter product development. By leveraging advanced algorithms and data-driven intelligence, manufacturers can now explore thousands of design possibilities, optimize materials, reduce costs, and accelerate time to market while maintaining high performance and sustainability standards. This approach represents a major shift from traditional design methods, empowering engineers...

  • The future of AI has just taken a giant leap forward. Claude's architecture is evolving beyond traditional chat functions, ushering in a new era of versatile, real-world problem-solving. This breakthrough marks the end of the limitations once associated with chat-based interactions, opening doors to more complex applications that are poised to tackle some of the world's most pressing challenges. Claude is not just a tool for conversation—it's an advanced system that enhances...

  • In an exciting new development, retailers are embracing the power of AI and RFID technology to transform their inventory management systems. By integrating these cutting-edge technologies, businesses are creating agile, data-driven solutions that enhance accuracy and efficiency. Key Benefits of AI-powered Inventory Management: Predictive Modeling: AI systems now forecast demand with 25% greater accuracy, allowing businesses to better anticipate consumer needs and adjust inventory accordingly...

  • I'm excited to showcase the Communication Protocols for AI Agents demo! This demonstration highlights three innovative communication protocols that enable AI agents to collaborate seamlessly: MCP (Model Context Protocol) A2A (Agent-to-Agent Protocol) ACP (Agent Communication Protocol) These protocols are essential for ensuring that AI agents can work together efficiently, manage tasks, and exchange data effortlessly, bringing AI collaboration to a new level. To get the best...

  • The insurance industry is entering a new era of fraud prevention, powered by the seamless integration of AI, Telematics, and Blockchain technologies. These cutting-edge solutions are delivering unmatched accuracy in real-time, providing insurers with the tools they need to detect and prevent fraudulent claims more efficiently than ever before. By combining the transparency and efficiency of blockchain with the advanced capabilities of AI and telematics, insurers can now offer greater security, not only...

  • AI is transforming how businesses approach crew scheduling and training, bringing a new level of personalization and efficiency to workforce management. By harnessing the power of AI, companies are no longer just automating schedules; they are creating tailored experiences for their teams. Optimized Scheduling: AI leverages historical data, employee preferences, and qualifications to generate highly efficient and personalized schedules, ensuring that teams are staffed with the right people at the...

  • AI has the potential to revolutionize your business, but selecting the right AI model is critical to harness its full power. When it comes to integrating AI into your operations, making the right choice can be the difference between success and stagnation. Here’s a simplified guide to help you choose the right AI model using the Model Context Protocol: Problem Your Business Faces – Understand the specific challenge AI is meant to solve. Model Complexity – Choose a model that...

  • I am thrilled to share an exciting demonstration of how modern AI agents work. This interactive demo unveils a 7-layered AI agent architecture that offers a clear and visual understanding of how intelligent, autonomous systems are designed. Here’s the breakdown of the architecture: Interface: The user interaction layer Orchestration: The decision flow mechanism Tools & Actions: The execution layer Memory & State: Providing context for operations Model: The...

  • In today’s rapidly evolving cybersecurity landscape, automation is essential for responding to threats swiftly and effectively. In this demonstration, I am showcasing Hook Activation in Secret Server, a real-world security solution that goes beyond theory. By leveraging this powerful tool, teams can activate smarter, automated actions that enhance security and streamline workflows. With Hook Activation, triggered security workflows are executed in real-time, providing seamless and intelligent...

  • In an era where cyber threats evolve rapidly, traditional malware detection methods struggle to keep up with sophisticated attacks like polymorphic malware, ransomware, and zero-day exploits. The solution? Deep Learning (DL), a transformative force reshaping the landscape of cybersecurity.   Deep Learning models go beyond conventional methods by analyzing patterns, behaviors, and anomalies, rather than just relying on known attack signatures. This enables organizations to...