PAC considers that multi-hop AI represents a paradigm shift in artificial intelligence deployment. However, the distributed nature of multi-hop AI pipelines creates an expanded attack surface, necessitating robust security measures to ensure reliable and trustworthy operation.
Contents:
Management Summary
Contextualising the Security Risks of a Multi-hop AI
Understanding the Challenges of Securing Multi-hop AI
PAC’s Recommendations
SHARE :
This document provides market volumes, growth rates and forecasts for the AI market in the US for the 2022-2028 period.
Event Date : February 13, 2024
The 5G networks and associated technologies and services translate into new opportunities and go-to-market strategies for CSPs (communication service ...
Event Date : March 20, 2023
This document provides market volumes, growth rates and forecasts for the Business Application Software (BAS)-related Consulting & Systems ...
Event Date : March 25, 2025
This short vendor profile provides a quick overview of the local portfolio and performance of IBM in France. We analyze the background, top ...
Event Date : April 24, 2024
This Excel document is part of the company profiles PAC publishes every year at local, regional and worldwide level.
Event Date : July 08, 2024
IBM - Figures - Germany - FY – 31 – Dec – 24
Datamart July 30, 2025
IBM - Vendor Profile - Germany
Vendor Profile July 30, 2025
Bechtle - Figures - Worldwide - FY - 31 - Dec - 24
Datamart July 29, 2025
Datamart July 29, 2025
Datamart July 29, 2025
Atos: Cause for Optimism, Despite the Headlines
Blog Post February 05, 2024
From Infrastructure To Innovation: The Network API Opportunity
Blog Post July 30, 2025
Blog Post July 29, 2025
Where Is The Value That Telcos Help Create?
Blog Post July 28, 2025
Part 8: Becoming Quantum Ready – A Practical Guide for Business Leaders
Blog Post July 25, 2025
Bridging The Customer Dissatisfaction Gap In Telecoms
Blog Post July 24, 2025