04/14/2026
Many agentic AI concepts perform well in controlled demos, but translating them into reliable production systems introduces a different set of challenges.
At Framework Security, we recently shared our perspective on what it takes to build agentic systems that operate effectively in real-world environments:
https://frameworksecurity.com/post/agentic-design-building-production-tooling
Key considerations:
• Context management is a design constraint, not an afterthought
• System architecture often drives outcomes more than model selection
• Structured inputs, outputs, and tool interactions are critical for consistency
• Reliability comes from disciplined orchestration, not emergent behavior
As organizations continue to operationalize AI, success will depend less on experimentation and more on engineering rigor.
The FWS ATLAS TTPs Mapping provides a systematic operationalization of the MITRE ATLAS adversarial threat framework for applied AI/ML security assessments. Each technique is mapped to current open-source and commercial tooling with documented procedures, addressing a recognized gap between threat mo...