Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

MCP Access Control: How to Enforce Least Privilege Across AI Agent Tool Chains

When an enterprise deploys an MCP-powered AI agent, such as a coding assistant, a customer workflow automaton, an IT helpdesk bot, something quietly dangerous happens at startup. The agent inherits the full permission set of the application that launched it. If the orchestrating app holds write access to a production database, the MCP agent does too. If it can call financial APIs, trigger deployments, or read HR records, the agent inherits all of that, without ever explicitly being granted those rights.

The Vanta AI Quality Eval Maturity Model

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One Poisoned AI Agent Hijacks Your Entire Pipeline #aiagents #mcp #zerotrust

In a multi-agent AI workflow, one agent's output becomes the next agent's input. That's the design. It's also the attack surface. Researchers have demonstrated that a single poisoned output can cascade across an entire pipeline — triggering unauthorized behavior, data exfiltration, and control flow hijacking across chained MCP processes. The attack class is called toxic flows. And every one of them passes classical zero trust checks.

A Fake MCP Server Just Exposed Your WhatsApp History

A security researcher introduced a malicious MCP server into an environment that already had a legitimate WhatsApp integration—and watched it silently expose message history without any user approval. The technique is called a rug pull. The server advertised one behavior at installation. On second usage, it switched to something else entirely. The approval was real. The thing you approved was not. This is what trust decay looks like in practice—and it passes every classical security check.

Ep. 62 - Zero Trust Breaks Against MCP: Why "Verified" No Longer Means Safe

Most enterprises assume their Zero Trust architecture covers their AI agents. It doesn't. Hosts Tova Dvorin and Adrian Culley break down why zero trust breaks against the Model Context Protocol (MCP)—and why "verified" no longer means "safe." They unpack trust decay, the WhatsApp and GitHub MCP exploits, rug-pull tool poisoning, CVE-2025-49596, and the rise of "zero standing trust," then close with three moves for CISOs this quarter: inventory your MCP estate, mandate authentication, and validate your controls.

Claude Fable 5 and the New Reality of AI-Enabled Third-Party Risk

Anthropic recently announced the release of Claude Fable 5, a public version of its more powerful Mythos AI model. Technology that was previously only accessible to a select few organizations is now available to businesses at an enterprise level. AI vendors are building the guardrails while threat actors are studying their attack vectors. Essentially, we are giving the keys to the AI world to businesses and hoping the guardrails hold steady. Security teams need to prepare even faster now.

What Is Agent Native Security for Data Enrichment

There are thousands of automated data enrichment jobs running every hour in modern enterprise environments, yet traditional firewalls treat autonomous artificial intelligence as a basic web form. When automated agents are tasked with scanning, parsing, and updating database records, they cannot rely on static API access or broad infrastructure permissions.

Securing the AI era: Outpace AI-powered attacks with unified security and observability

Security teams are dealing with a fundamentally different operating environment than they were a few years ago. AI-assisted development is rapidly pushing more code and infrastructure into production, and according to Datadog’s 2026 State of DevSecOps report, 40% of running services have an exploitable vulnerability.

Why Claude Mythos Changes AppSec Research, Not Your Scanning Stack

If you’re like our team, the morning after the Claude Mythos announcement brought more questions than answers. Among them: “Serious question. Do customers still need SAST?” It’s a fair question if you stop at the headline. Claude Mythos, Anthropic’s frontier AI model currently gated to vetted partners through Project Glasswing, had autonomously identified thousands of zero-day vulnerabilities across major operating systems and browsers . No rule books, no checklists.