Mcp

AWS Launches AgentCore Gateway for Multi-Account AI Agents via MCP

FIRST LOOK ATLAS OWASP MEDIUM ▲ 6.2 AWS Machine Learning Blog Sep 26, 2026

AWS has released AgentCore Gateway, a managed control plane that enables AI agents to operate across multiple AWS accounts using the Model Context Protocol (MCP), centralising tool access and identity brokering for distributed agentic workloads. For defenders, this closes a meaningful gap in cross-account agent governance by providing a structured integration layer that enforces IAM-scoped tool invocation rather than relying on ad-hoc credential passing between accounts. Residual gaps remain around MCP server vetting maturity, cross-account audit log correlation, and the organisational readiness required to govern tool registries at scale.

AWS Adds Defense-in-Depth Authorization for MCP Tools on Amazon Q

FIRST LOOK ATLAS OWASP MEDIUM ▲ 7.2 AWS Machine Learning Blog Sep 20, 2026

AWS has published guidance and implementation patterns for defense-in-depth authorization controls applied to Model Context Protocol (MCP) tools within the Amazon Q platform, addressing the authorization gap that emerges when AI agents are granted access to external tools and services. This closes a meaningful defensive gap for enterprises deploying agentic AI: the risk of excessive or unverified tool invocation authority, which has been a persistent blind spot in MCP-based agent architectures. Realising the full benefit will require organisations to have mature IAM governance, MCP server inventory discipline, and operational runbooks for agent permission scoping already in place.

AWS AgentCore Harness Ships Built-In Shell and Identity Vault Tools

FIRST LOOK ATLAS OWASP HIGH ▲ 7.8 Palo Alto Unit 42 Sep 18, 2026

Unit 42 researchers have published a detailed analysis of AWS AgentCore Harness's default configuration, specifically how its built-in shell tool and AgentCore Identity credential vault interact at runtime when credentials are resolved to plaintext. The research closes a visibility gap for defenders by providing concrete, operationally grounded guidance on scoping allowedTools, applying least-privilege to Identity vault service accounts, and monitoring outbound traffic from harness containers. What remains is an organisational maturity question: operators must actively opt into these controls rather than relying on secure defaults, meaning the benefit is fully realised only by teams with the awareness and tooling to enforce runtime scoping.

OpenAI Launches Agents API with Sandboxes and Multi-Agent Orchestration

FIRST LOOK ATLAS OWASP MEDIUM ▲ 6.8 OpenAI (via HN) Sep 15, 2026

OpenAI has released a dedicated Agents API providing structured primitives for building, running, and observing autonomous AI agents — including sandboxed execution environments, multi-agent orchestration, webhooks, and integrated tracing. For defenders and security-conscious developers, this closes a meaningful gap by surfacing agent behaviour through built-in observability tooling and scoped execution environments, reducing reliance on ad-hoc logging and uncontrolled tool access. Residual gaps remain around third-party MCP trust boundaries, self-hosted sandbox maturity, and the operational readiness required for teams to translate tracing telemetry into meaningful security monitoring.

CVE-2026-75149: Marimo Notebook MCP Code Injection Flaw

ATLAS OWASP HIGH ▲ 8.2 The Hacker News Aug 26, 2026

A high-severity code injection vulnerability (CVE-2026-75149) in Marimo notebook software allowed attackers to embed malicious Model Context Protocol (MCP) server commands in crafted notebooks, triggering local subprocess execution before any user cell runs. The flaw, scoring 8.8 on CVSS v3.1, required no attacker authentication and only needed the victim to open the notebook in edit mode. Marimo patched the issue in version 0.23.15 by treating all notebook metadata as attacker-controlled and enforcing an allowlist over configuration sections including AI, MCP, and secrets.

AWS Adds Agentic Observability via OpenSearch Service MCP Apps

FIRST LOOK ATLAS OWASP MEDIUM ▲ 5.5 AWS Machine Learning Blog Aug 26, 2026

AWS has released agentic observability tooling through Amazon OpenSearch Service MCP Apps, providing structured visibility into the actions, tool invocations, and decision traces of AI agents running on AWS infrastructure. This closes a meaningful gap for defenders who previously lacked native, queryable telemetry over agent behaviour — a prerequisite for detecting anomalous tool use, privilege escalation patterns, and unexpected data access in agentic pipelines. Realising the full defensive value will require mature logging schemas, tuned detection rules, and integration with existing SIEM or SOAR tooling that most organisations are still building.

Anthropic MCP Server Security Risks and Secrets Exposure Explained

FIRST LOOK ATLAS OWASP HIGH ▲ 7.2 The Hacker News Aug 18, 2026

This analysis examines how Model Context Protocol (MCP) servers — the middleware layer connecting AI agents to enterprise tools and data — routinely store credentials in plaintext configuration files and propagate them across ungoverned environments. For defenders, the piece closes an awareness gap by naming concrete credential exposure patterns unique to the agentic AI layer, giving security teams a structured surface to inventory and govern. What remains unaddressed is tooling maturity: automated discovery, centralised secrets management integration, and runtime visibility into MCP server activity are still nascent capabilities that organisations must build rather than buy.

GhostSplice MCP Attack Splits Prompts to Exfiltrate SSH Keys

ATLAS OWASP HIGH ▲ 8.5 The Hacker News Aug 16, 2026

ASSET Research Group has disclosed GhostSplice, a technique that fragments malicious instructions across multiple Model Context Protocol (MCP) server channels to evade AI coding assistant safety filters and trigger secret exfiltration. By splitting a theft request into individually innocuous pieces placed in tool descriptions and tool results, the attack raised average model compliance from 42% to 82% across eleven tested models. The research highlights that host-side safety controls matter as much as model-level refusals, with the same model behaving differently across coding clients.

AWS AgentCore Gateway Adds Support for MCP 2026-07-28 Spec

FIRST LOOK ATLAS OWASP HIGH ▲ 7.2 AWS Machine Learning Blog Jul 29, 2026

AWS has released AgentCore Gateway with native support for the Model Context Protocol (MCP) 2026-07-28 specification, enabling standardised tool-use and context-sharing across agentic AI workloads on AWS infrastructure. For defenders, MCP-compliant gateways dramatically expand the inter-agent communication surface, introducing new vectors for prompt injection through tool responses, malicious server impersonation, and privilege escalation across agent boundaries. Security teams operating agentic pipelines on AWS must now treat MCP endpoints as high-value targets requiring the same scrutiny applied to API gateways and identity providers.

FableCut Ships AI-Drivable Browser Video Editor via MCP and REST

FIRST LOOK ATLAS OWASP MEDIUM ▲ 7.2 HN AI Security Jul 10, 2026

FableCut is a zero-dependency, browser-based non-linear video editor that exposes its entire timeline as a JSON document and accepts live control from AI agents via MCP (Model Context Protocol) and REST APIs, enabling tools like Claude Code or Claude Desktop to autonomously edit video. This agent-accessible media pipeline introduces meaningful new attack surface: any AI agent granted MCP/REST access can read, overwrite, or poison the JSON timeline, and a compromised or prompt-injected agent could silently alter exported video content. Defenders managing AI agent workflows that touch media pipelines should treat this as an unsandboxed tool-use endpoint requiring strict authZ, input validation, and output integrity checks.

The Security Analyst's Claude Code Playbook

DEEP SIGNAL Jul 10, 2026

A practitioner's guide to deploying Claude Code in security operations — threat intelligence automation, compliance gap analysis, token management, and enterprise hardening.

Amazon Q Extension Credential Theft via MCP Injection

ATLAS OWASP HIGH ▲ 8.5 Dark Reading Jul 05, 2026

A vulnerability in the Amazon Q Visual Studio Code extension allows adversaries to plant malicious repositories that execute arbitrary code and exfiltrate cloud credentials. The flaw highlights escalating risks associated with Model Context Protocol (MCP) integrations embedded within AI-powered developer tools. This attack vector represents a growing threat surface as AI coding assistants gain privileged access to developer environments and cloud infrastructure.

Microsoft Copilot MCP Tool Poisoning Enables Data Exfiltration

ATLAS OWASP HIGH ▲ 9.1 The Hacker News Jul 04, 2026

Microsoft researchers have demonstrated how attackers can embed hidden instructions inside MCP tool descriptions to covertly redirect AI agents into exfiltrating sensitive business data. Because each individual action the agent takes appears legitimate — using approved tools and the user's own permissions — default security controls generate no alerts. The attack exploits a fundamental design tension in MCP: tool descriptions simultaneously carry operational instructions and attacker-controlled data, collapsing a critical trust boundary.

CVE-2026-50548: Cursor IDE Prompt Injection RCE

ATLAS OWASP CRITICAL ▲ 9.2 The Hacker News Jul 03, 2026

Two critical vulnerabilities (CVE-2026-50548 and CVE-2026-50549) in the Cursor AI code editor allow prompt injection attacks delivered via MCP services or web search results to escape the editor's terminal sandbox and execute arbitrary commands on a developer's machine without any user interaction. Both flaws abuse the sandbox's write-permission logic — one through a misconfigured working directory parameter, the other through a symlink-resolution fallback — ultimately allowing overwrite of the sandbox helper binary itself. The attack surface is significant given Cursor's reported adoption across more than half of Fortune 500 companies; all versions prior to 3.0 remain vulnerable.

Google Launches Gemini Spark on Mac with File Access

FIRST LOOK ATLAS OWASP HIGH ▲ 8.2 TechCrunch AI Jul 02, 2026

Google has expanded Gemini Spark to macOS, giving the agentic assistant access to local files, third-party app integrations (including Dropbox, Canva, and Instacart), custom MCP connections, and real-time topic monitoring. This substantially widens the attack surface for enterprise defenders, as a compromised or manipulated Spark agent gains a foothold across local file systems, cloud workspaces, and external service APIs simultaneously. The addition of custom Model Context Protocol support is particularly concerning, as it allows arbitrary third-party tool connections with unclear trust boundaries and permission scoping.

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