Research & Whitepapers
In-depth analysis from the EchoForgeX team on AI infrastructure, security, and cost efficiency.
Token Cost Attribution in Multi-Agent AI Systems
Abstract As agentic AI systems mature from conversational assistants into multi-step, tool-using orchestrators, the cost structures of running them diverge significantly from simple token arithmetic. This paper presents a root-cause analysis of token cost inflation observed…
Read paper →A System-Level Approach to Securing AI Applications Against Prompt Injection
Invariant Whitepaper A System-Level Approach to Securing AI Applications Against Prompt Injection Abstract Prompt injection is a class of vulnerabilities affecting applications built on large language models (LLMs), where untrusted input is interpreted as executable instruction.…
Read paper →From Natural Language to Automated Action: The State of AI-Driven Workflow Automation
From Natural Language to Automated Action The State of AI-Driven Workflow Automation — Promise, Reality, and the Gap Between EchoForgeX | May 2026 Abstract Enterprises have invested heavily in integration platforms and workflow automation tools for decades. The consistent…
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