Research
Original research, technical analysis, and practical guidance from the team building Amajoni.
RESEARCH
8 min
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Most enterprises deploying AI agents have no visibility into what those agents can actually do if compromised. This report quantifies the gap and explains why every traditional security tool misses it.
June 2026 · 8 min read
Read article →TECHNICAL
A technical breakdown of how prompt injection attacks work against production AI agents, with real attack patterns, dangerous permission combinations, and copy-paste CloudWatch detection queries.
May 2026 · 6 min read
Read →COMPLIANCE
The NIST AI Risk Management Framework is becoming the de facto audit standard for enterprise AI. Here is what it actually requires, what evidence auditors want to see, and how to implement it without a consultant.
April 2026 · 10 min read
Read →RESEARCH
We ran our OSINT domain scanner against the top 20 SA fintech companies. Using only public signals — no credentials, no access, no intrusion — here is what we found visible from the outside.
March 2026 · 5 min read
Read →METHODOLOGY
There is no industry standard for measuring how dangerous an AI agent is if compromised. We built one. Here is the methodology, the formula, and an open invitation for community feedback.
February 2026 · 7 min read
Read →TECHNICAL
Most AI agent security problems are introduced during development, not deployment. This checklist covers the eight controls that prevent the majority of production incidents — with copy-paste IAM policies, CloudWatch alarm configs, and LangChain callback patterns.
January 2026 · 9 min read
Read →Monthly research and threat intelligence from Amajoni.
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