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RAG in Production: Deployment Strategies and Practical Considerations

The RAG architecture, a novel approach in language models, combines the power of retrieval from external knowledge sources with traditional language generation capabilities. This innovative method overcomes a fundamental limitation of conventional language models, which are typically trained on a fixed corpus of text and struggle to incorporate up-to-date or specialized knowledge not present in their training data.

What Drives an SME's Approach to Implementing AI?

AI’s rise in both the business and consumer worlds has been astonishingly exponential. Businesses are using AI to generate content, analyze data, automate processes, and more. But small and medium-sized enterprises (SMEs) look and act very differently from their enterprise counterparts. This prompts the question: How are SMEs approaching AI? Recent data from a 2024 JumpCloud study of SME IT may help answer it.

The Double-Edged Sword of AI: Empowering Cybercriminals and the Need for Heightened Cybersecurity Awareness

The BBC recently reported that Booking.com is warning that AI is driving an explosion in travel scams. Up to 900% in their estimation - making it abundantly clear that while AI can be a force for good, it can also be a formidable weapon in the arsenal of cybercriminals. One of the most concerning trends we've observed is the increasing use of AI by cybercriminals to carry out sophisticated phishing attacks.

EssayWriter Review: Comprehensive Guide to Using the Free Essay Writing Assistant

In the age of technology, the educational sector has seen profound shifts in how students and professionals prepare academic content. Among the various tools that have emerged, AI-powered writing assistants are redefining the landscape of academic writing. This review delves into one such innovative tool - EssayWriter, analyzing its features, functionality, and overall utility in enhancing academic and research work through the lens of an AI essay writer platform.

How Artificial General Intelligence Will Redefine Cybersecurity

Artificial Intelligence (AI) is now integrated into almost every available technology. It powers numerous real-world applications, from facial recognition to language translators and virtual assistants. AI offers significant benefits for businesses and economies by boosting productivity and creativity. However, it still faces practical challenges. Machine learning often requires substantial human effort to label training data for supervised learning.

Snyk Code now secures AI builds with support for LLM sources

As we enter the age of AI, we’ve seen the first wave of AI adoption in software development in the form of coding assistants. Now, we’re seeing the next phase of adoption take place, with organizations leveraging increasingly widely available LLMs to build AI-enabled software. Naturally, as the adoption of LLM platforms like OpenAI and Gemini grows, so does the security risk associated with using them.

Implementing AI within your security strategy: 7 best practices

There’s a ton of media hype about the swift integration of AI across different business functions. It has also been reported that 98% of technology executives have paused their AI programs to establish guidelines and policies around its implementation. Depending on when and where you read about it, opinions on the speed of AI adoption vary. Nevertheless, AI is more than just hype.

EP 55 - AI Insights: Shaping the Future of IAM

In this episode of Trust Issues, Daniel Schwartzer, CyberArk’s Chief Product Technologist and leader of the company’s Artificial Intelligence (AI) Center of Excellence, joins host David Puner for a conversation that explores AI’s transformative impact on identity and access management (IAM). Schwartzer discusses how CyberArk’s AI Center of Excellence is equipping the R&D team to innovate continuously and stay ahead of AI-enabled threats.

Top 7 Challenges in Building Healthcare GenAI Applications

The integration of generative AI (GenAI) into healthcare holds tremendous potential for transforming patient care, diagnostics, and operational efficiency. However, developing these applications faces numerous challenges that must be addressed to ensure compliance, accuracy, and security. Here are the top challenges in building healthcare GenAI applications.

Building Apps at Scale in Power Platform? Not for the Faint of Heart... or CoE Security

Enterprises are racing to adopt AI copilots and low-code/no-code platforms to innovate and maximize efficiency by placing powerful technology and development tools in the hands of all business users. While the productivity gains are enormous, so are the security risks, as the nature of these copilots and low-code platforms results in a surge of new business apps being created at the enterprise.