AI agents generate execution paths at runtime. This creates new challenges for tracing, governance, and operational control across agentic tools and MCP servers.

Agents make decisions, select tools, and take actions at runtime. Traditional monitoring can't trace that chain. Here's what observability needs to look like when software makes its own decisions.

When AI agent incidents happen, gateway logs show no violations. The failure emerges during execution — in the Agentic Execution Gap where neither security nor developers have visibility.

A path-joining miscalculation in MindsDB's file ingestion API allows attackers to read and remove arbitrary files. Learn how BlueRock's Agentic Observability Platform neutralizes this attack at the moment of file access through runtime protections BR-70 and BR-91.

BlueRock introduces free managed PaaS for the Agentic Observability Sandbox — full MCP visibility, process isolation, secure runtime, and FastMCP pre-deployed. Register and build.

MCP gateways can address some security and visibility concerns in agentic AI workflows, but they also introduce non-trivial technical and operational challenges. Latency, scale, certificate management, availability, and new attack surfaces all become part of the system once a gateway is placed in the execution path. In this post, we examine the limitations of MCP gateways from an engineering and operations standpoint, based on how these systems behave at scale in real deployments.

As MCP servers rapidly become core execution infrastructure for AI agents, security gaps are emerging faster than teams can spot them. Private Repo Scanning gives builders early, actionable visibility into MCP risks—before agents act in production—without slowing development.

56% of enterprises already run AI agents in production, but most aren’t ready to operate them as autonomous systems. As MCP accelerates agent adoption, execution visibility and control become the missing link.

AI agents don’t just make requests — they execute actions. This post breaks down the top reasons agentic developers inevitably work around MCP gateways, not out of recklessness, but to recover visibility, speed, and debuggability. It explains why gateway controls fail at the execution layer, how that creates real security blind spots, and why governing agent behavior requires visibility beyond the request boundary.

MCP Gateways can approve requests, but they can’t govern autonomous decisions. As AI agents execute multi-step actions across systems, failures emerge during runtime — far beyond what traditional controls can see or stop. This blog breaks down why gateway security fails for agentic AI and outlines the execution-first model organizations need instead.

Dubbed MCP fURI, this finding enables arbitrary calling of URI resources via Microsoft’s Markitdown MCP server. These unbounded URI calls can leave organizations exposed to privilege escalation, SSRF (Server-Side Request Forgery) and data leakage attacks including a full takeover of an organization’s cloud infrastructure.

Choosing the right MCP server isn’t about hype — it’s about shipping agents that actually work, fail safely, and scale responsibly. This guide shows developers how to evaluate MCPs for real-world reliability, security, and velocity.

BlueRock is launching the Agentic Protection Platform—the first built-in runtime approach to see and secure agentic actions before they execute. As agents and MCP servers move into production with increasing autonomy, BlueRock delivers the missing foundation: visibility, trusted MCP intelligence, sandboxing, and pre-execution guardrails.

BlueRock’s Secure MCP Server is now available on AWS Marketplace for free. The Amazon Machine Image (AMI) is built on top of Amazon Linux 2023, with FastMCP and BlueRock built-into the distribution.

This vulnerability, CVE-2025-61765, affects multi-server deployments using common message brokers like Redis, Kafka, or RabbitMQ.

Chainguard and BlueRock solutions together enable defense-in-depth with lower friction for developers. 

BlueRock RRIQ Is Now Available On AWS Marketplace For Amazon Linux 2023