At AIShield, we have had an impressive year of growth and achievements. Our customers are delighted and so does our partners. All thanks to the A-team that has consistently demonstrated adaptability and a focus on pivoting when necessary, allowing us to achieve significant growth in our product, business, and team…

AI applications are transforming the way we work and live, but with great power comes great responsibility. As AI becomes more prevalent, newer, and more sophisticated security threats are emerging, particularly cybersecurity attacks that target AI/ML systems. …

TL;DR This blog elucidates the increasing significance of AI security in MLOps, highlighting the critical risks associated with adversarial AI attacks, data poisoning, and model stealing that can severely impact a company’s financial stability, reputation, and safety. AIShield emerges as a groundbreaking solution that effortlessly integrates with MLOps pipelines, leveraging state-of-the-art…

TL;DR In under 30 minutes, follow the easy step-by-step process (including code snippets) presented in this guide to effortlessly integrate AIShield’s vulnerability analysis and defense generation features into your MLOps workflow. Experience these three key benefits by implementing AIShield: Benefit 1: Ensure the security, robustness, and resistance to adversarial attacks of…

As an industry leader in the realm of AI/ML Security technology, our organization — AIShield, is no stranger to the challenges and triumphs that accompany the pursuit of excellence. We are dedicated to pushing the boundaries of what’s possible and strive to offer the best solutions to our customers. But…

Expert Insights on Safely Integrating AI and LLMs to Drive Efficiency and Productivity — LLM — Risks & Recommendations — #2 Executive Summary Generative AI and LLMs: Unlocking new opportunities for innovation, efficiency, and productivity, while posing potential risks including confidentiality breaches, IP infringements, and data privacy violations. Seven Recommendations: Safely integrate generative AI and LLMs by enforcing strong confidentiality measures, safeguarding intellectual property, adhering to data protection regulations, conducting quality checks, securing…

LLM — Code Security — #4 Executive Summary Comprehensive Course: Master safe coding practices with generative AI, addressing potential risks and challenges while effectively integrating AI technologies into your development workflow. AIShield.GuArdIan: Learn about this cutting-edge solution for secure generative AI, which offers robust input and output controls, policy enforcement, and monitoring to maintain a secure and compliant…

LLM — Code Security — #3 Executive Summary AIShield.GuArdIan: A cutting-edge solution designed to support secure coding practices with generative AI, ensuring legal compliance and adherence to organizational policies. Robust Security Controls: Patent-pending technology for both input and output stages of LLM, safeguarding against legal, policy, role-based, and usage-based violations. Benefits for Stakeholders: Enhanced security and reduced workload…

LLM — Code Security — #2 Summary Generative AI Risks: AI-generated code presents license violations, legal/ethical challenges, and security concerns in industries like critical infrastructure, telecom, and automotive. Mitigation Strategies: Implement comprehensive SBOMs, automated policy control tools, code reviews, training programs, and collaborate with industry partners to address risks and maintain compliance.