The current regulatory focus on transparency is proving insufficient to address the structural risks posed by AI agents embedded in our digital infrastructure. While disclosure requirements aim to inform users, they do not prevent the underlying problem of deceptive steering, where AI agents are designed to prioritize the commercial interests of their developers over the…
The Token Paradox Token prices have collapsed from roughly $20 to $0.07 per million tokens for the same capability, according to the Stanford HAI 2025 AI Index cited in McKinsey’s July 2026 report. Logic suggested that as the cost of the raw material dropped, the cost of building agentic AI would follow suit. Instead, LLM…
On August 27, 2026, the Cybersecurity and Infrastructure Security Agency (CISA) updated its Known Exploited Vulnerabilities (KEV) catalog to include two specific entries: CVE-2026-53362 and CVE-2026-66384. While routine updates to the KEV are standard operational procedure, these additions represent a fundamental shift in federal cybersecurity policy. They serve as the first official federal acknowledgment that…
Algorithmic pricing is the use of automated systems — often powered by AI and machine learning — to determine, recommend, or adjust prices. It encompasses dynamic pricing (market-based) and personalized pricing (individual-data-based), the latter drawing intense regulatory scrutiny.
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.
Real-World Assets (RWA) are tangible or traditional financial assets whose ownership rights have been converted into digital tokens on a blockchain, bridging traditional finance and DeFi.
Memory poisoning is a security attack against LLM-based AI agents in which an adversary injects malicious content into the AI’s long-term persistent memory layer, causing the agent to retrieve and trust corrupted data across future sessions.
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…
The DTCC’s DTC Tokenization Service is scheduled for commercial launch in October 2026. This transition follows the July 15, 2026, production trades, which served as the final stress test for the system. As detailed in our previous coverage, these trades were not merely symbolic. They involved over 30 firms testing the actual mechanics of the…
Serval, a San Francisco-based startup, is attempting to redefine enterprise IT operations with the launch of Catalyst, a platform that moves beyond the reactive, ticket-based workflows that have long defined the industry. While most tools in the era of agentic AI have focused on accelerating existing processes—such as helping chatbots summarize logs or answer basic…