CrowdStrike Falcon MCP Review: Powerful Security Data, Consequential Tool Access
Falcon MCP can bring security operations into an agent workflow. That value raises the bar for identity, tool scope, approvals, and evidence.
Read articleAgentGuard Research
Security thinking for the agentic era.
Practical guidance, independent reviews, and clear explanations for teams building AI agents that can take real action.
Vertex AI Agent Security: What the Platform Covers and What You Still Need to Test
A boundary-first review of Google's agent platform, with a practical test plan for identity, tools, data, and runtime decisions.
Read articleClaude Enterprise and the API: A Security Review for Buyers
Claude Enterprise and the Anthropic API solve different control problems and need a joined but separate security review.
Read articleClaude Cowork Privacy: What It Can Access and How to Limit Exposure
Cowork can reach files, browser, and apps through Claude Desktop, so privacy depends on the folders, accounts, and actions exposed.
Read articleAnthropic's Context Engineering Guidance, Reviewed for Security
Context engineering improves relevance, but every added context source also creates a trust and data boundary.
Read articleIs DeepSeek Safe to Use? A Practical Risk Review
DeepSeek risk changes sharply between a public chat, an API integration, and a locally hosted model with agent tools.
Read articleChatGPT Team Is Now Business: A Security Review
A team rollout needs workspace controls and operating evidence, not just a plan comparison.
Read articleStop Dangerous AI Agent Commands Before They Run
A practical command-control pattern for coding agents with shell, filesystem, network, and credential access.
Read articleChatGPT Atlas Agent Mode: A Security and Control Review
Atlas changes the review from chatbot output to browser action, where sessions, approvals, and site boundaries matter.
Read articleWhat Anthropic's SOC 2 Status Does and Doesn't Prove
A buyer's guide to the evidence Anthropic provides and the customer controls auditors will still expect.
Read articleSecuring AI Agents at Runtime: A Control-by-Control Guide
A deployment guide for putting enforceable controls between an agent's intent and its real-world side effects.
Read articleAI Agent Guardrails Worth Testing: Six Options by Control Layer
A practical shortlist that separates model-output filters, application rules, and controls over real agent actions.
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