Cybersecurity

The OSINT Newsletter - Issue #106

28 sec read4 views0 listens

The 106th issue of The OSINT Newsletter highlights the integration of agentic AI with intelligence analysis and warns about the risks of trusting opaque software in investigative processes. This issue is crucial for developers and tech professionals as it underscores the importance of understanding new tools to ensure ethical use and effective intelligence gathering, while also introducing several innovative OSINT tools that enhance data aggregation and analysis capabilities.

Read the full article at The OSINT Newsletter

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.

I built 2 MCP servers that make Claude a financial analyst and SEO auditor

Two advanced Model Context Protocol (MCP) servers have been developed, enhancing AI capabilities in financial analysis and SEO auditing beyond basic data retrieval. These tools provide intelligent insights such as technical stock analysis and compreh...

Ali Nemati

AI & Machine LearningMar 1826 sec read

How I Built a Production AI Query Engine on 28 Tables - And Why I Used Both Text-to-SQL and...

An affiliate marketing company developed a production AI query engine that uses both Text-to-SQL for complex analytical queries and Function Calling via Model Context Protocol (MCP) for secure actions, ensuring data safety through a three-layer AST s...

Ali Nemati

AI & Machine Learning3 days ago25 sec read

Part 3: I skipped Power Automate and connected LDX hub directly via MCP. It worked in 2 hours.

A non-engineer CEO successfully connected Copilot Studio to an LDX hub MCP server directly, bypassing Power Automate, in about two hours. This method simplifies integration for interactive use cases but is less suitable for batch processing tasks com...

Ali Nemati

AI & Machine Learning3 days ago29 sec read

When Analytics Said Nothing, Bots Were 90% of the Traffic

ChinaGlobalSouth discovered that over 60% of its traffic was automated bot activity after traditional analytics tools failed to detect the issue. This realization led to the development of SysWP Radar, which provided visibility into abnormal request ...

Ali Nemati

AI & Machine Learning4 days ago30 sec read

Getting Started with Python For Data Analytics: A Beginner-Friendly Introduction

Python is a beginner-friendly programming language that simplifies complex tasks through its readability and extensive libraries, making it essential for data analytics. It supports instant results, easy integration with various data sources, and off...

Ali Nemati

The OSINT Newsletter - Issue #106

Related Articles

I built 2 MCP servers that make Claude a financial analyst and SEO auditor

How I Built a Production AI Query Engine on 28 Tables - And Why I Used Both Text-to-SQL and...

Part 3: I skipped Power Automate and connected LDX hub directly via MCP. It worked in 2 hours.

When Analytics Said Nothing, Bots Were 90% of the Traffic

Getting Started with Python For Data Analytics: A Beginner-Friendly Introduction