A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
In April 2023, Samsung discovered its engineers had leaked sensitive information to ChatGPT. But that was accidental. Now imagine if those code repositories had contained deliberately planted ...
Introduction: The Silent Expansion of Generative AI in Business Generative Artificial Intelligence has rapidly moved from ...
In 2024, LoanDepot, a prominent mortgage lender, fell victim to a significant data breach. Hackers exploited vulnerabilities in the company’s systems, compromising the personal information of nearly ...
OpenAI last week unveiled two new free-to-download tools that are supposed to make it easier for businesses to construct guardrails around the prompts users feed AI models and the outputs those ...
What if the very tools designed to transform communication and decision-making could also be weaponized against us? Large Language Models (LLMs), celebrated for their ability to process and generate ...
Forbes contributors publish independent expert analyses and insights. Tony Bradley covers the intersection of tech and entertainment. Navigating the complexities of securing AI-driven systems requires ...
Generative-AI models often face security threats such as prompt injections and data exfiltration. Cybersecurity firms are fighting fire with fire — using AI to secure LLMs — but there are costs. This ...
What if a security system could do more than just protect? What if it could predict, optimize, and even grow your business? Security systems are increasingly integrating cloud-based solutions for more ...
The integration of AI-enabled robotics with human expertise is transforming the security industry, delivering enhanced protection, operational efficiency and economic value through a hybrid model.
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