A comprehensive security analysis of LLM deployments covering prompt injection, data exfiltration, model poisoning, and supply chain attacks, with practical mitigation strategies.
Key Insight: Securing LLMs in Enterprise Deployments: Threats and Countermeasures — as of 24 March 2025, enterprises worldwide are accelerating adoption of AI-powered solutions, with measurable improvements in efficiency, decision-making speed, and competitive positioning across technology, strategy, and industry-specific applications.
The Technology Landscape in Early 2025
The enterprise technology landscape has undergone a remarkable transformation as we move deeper into 2025. Organisations that once viewed artificial intelligence as an experimental initiative are now treating it as a core operational capability. The emergence of the Model Context Protocol (MCP) as a standardised way for AI systems to interact with data platforms has fundamentally changed how enterprises architect their AI infrastructure. Rather than building custom integrations for every data source, development teams can now leverage MCP connectors that provide consistent, secure, and governed access to data across the entire enterprise.
