Explore Research Studies
Top 5 DNS Security Solutions: Features & Benchmark
We compared the top DNS security solutions, their features, pricing, and unique aspects to help you find the right protection for your network. Click the product names to see why we recommend them: Benchmark Results With over 20 DNS security tools on the market, picking the right one isn’t straightforward.
Transform OT Automation with IT/OT Convergence
Software-driven disruption is reshaping OT automation by enabling flexible, hardware-agnostic platforms to handle traditional control functions, while new protocols like OPC UA aim to modernize OT communication through richer, more standardized data exchange.
Top Vector Database for RAG: Qdrant vs Weaviate vs Pinecone
Vector databases power the retrieval layer in RAG workflows by storing document and query embeddings as high‑dimensional vectors. They enable fast similarity searches based on vector distances.
Hands-On Top 10 AI-Generated Text Detector Comparison
We conducted a benchmark of the most commonly used 10 AI-generated text detector.
Top 10+ AI Agents in Healthcare: Use Cases & Examples
We previously explained healthcare AI use cases. In this article, I listed the best AI agent examples for healthcare that automate workflows in clinical operations: Examples of AI agents in healthcare General-purpose healthcare agents Automates multiple business tasks (e.g., scheduling, medical coding, office operations), but not focused on diagnostics or deep clinical applications.
4 Agentic AI Design Patterns & Real-World Examples
Agentic AI design patterns enhance the autonomy of large language models (LLMs) like Llama, Claude, or GPT by leveraging tool-use, decision-making, and problem-solving. This brings a structured approach for creating and managing autonomous agents in several use cases.
MLSecOps: Top 20+ Open Source and Commercial Tools
AI is a key technology used in the security software landscape, yet what is often overlooked is the fact that AI itself is becoming an increasingly vulnerable attack surface, due to technical challenges: To protect their machine learning models, companies are using enterprise-grade AI safety frameworks (e.g., Anthropic’s Constitutional AI) and increasingly adapting MLSecOps tools.
Multi Agent Systems: Applications & Comparison of Tools
Multi-agent systems(MAS) enable distinct AI agents to work together to achieve complex objectives. Every AI agent in the system possesses its specific characteristics and responsibilities that contribute to a greater goal. MAS provides a distinctive approach to managing multi-step tasks and enhancing efficiency.
AI Video Pricing: Compare Runway, Synthesia & Invideo AI
AI video pricing can differ significantly across platforms, influenced by factors such as output quality, customization options, and features. As more businesses and creators turn to AI for efficient video production, understanding these pricing models becomes essential.
Multi-Agent Communication with Google's A2A
Agent2Agent (A2A) Protocol is an open standard for communication and collaboration between AI agents.Though it’s new, it’s gaining attention, especially since it works well with MCP, which is becoming the industry standard. A2A is expected to become the go-to protocol for multi-agent communication.