Runtime enforcement is crystallizing as a mandatory infrastructure layer, essential for agent reliability and security. For the past year, the primary challenge for builders has been the governance gap, a hurdle so significant that Gartner reports 60% of GenAI proof-of-concepts were abandoned in 2024. The industry has signaled a definitive response: runtime enforcement is no…
In the evolving landscape of digital finance, the barrier to entry is no longer just about code or community; it is about cold, hard capital. We are witnessing the emergence of a "capital wall" — a regulatory filter that dictates not just who gets to play in the crypto-banking sandbox, but exactly which tier of…
Evaluating Agentic Infrastructure Through Competitive Simulation The AWS AI League Agentic Football Cup, a collaboration between AWS and Minds by Animoca Brands, provides a structured environment for observing multi-agent coordination. Minds is a persistent AI agent platform built on the Ethoswarm protocol that enables users to deploy sovereign, always-on agents without managing local infrastructure. The…
Autonomous AI agents are moving from experimental sandboxes into the core of enterprise operations, yet most organizations are unprepared to manage them. While Gartner projects that 40% of enterprise applications will embed task-specific AI agents by the end of 2026, the security infrastructure to govern these digital workers remains largely absent. Data from a CSA/Oasis…
The Shift to AI Infrastructure as a Primary Credential Vector Attackers are systematically targeting Langflow, the popular open-source low-code platform for LLM applications, to harvest credentials. This shift from theoretical research to automated exploitation demonstrates that AI infrastructure is now a primary target for those seeking to bypass traditional perimeter defenses. The emergence of CVE-2026-0768,…
As autonomous software agents move from experimental sandboxes into the core of consumer and financial infrastructure, the debate over how to govern them has exposed a significant regulatory gap. For years, the default regulatory posture relied on transparency—the assumption that if a system disclosed its data practices or model limitations, the user could make an…
MCP Security is the discipline of identifying, mitigating, and managing the risks created by the Model Context Protocol — the open standard that connects AI agents to external tools, data sources, and APIs.
Indirect Prompt Injection is a security vulnerability in Large Language Models (LLMs) where an adversary embeds malicious instructions into external content—such as documents, emails, or webpages—that an AI system later ingests. Unlike direct prompt injection, where an attacker interacts with the model through a chat interface, indirect injection delivers its payload through data sources the…
CIMB Islamic Bank Berhad has executed the first tokenized deposit settlement of tokenized sukuk in Malaysia, marking a significant operational shift for the world’s largest domestic sukuk primary market. The transaction involved RM1.38 billion, approximately $342 million, of a total RM1.68 billion issuance under the bank’s RM10 billion Senior Sukuk Wakalah Program. Twelve institutional investors…
Model-template poisoning is an attack that targets the chat template layer—the rendering code that converts structured messages into the text a language model receives. By injecting hidden instructions into this template, an attacker can persistently compromise every inference call, surviving conversation resets, system prompt overrides, and client-side controls.