Agentic Browser Security Playbook
Protect against prompt injection, cross-site actions, and data leakage in AI browser agents.
View PlaybookAI Security Playbooks
Practical, field-tested guidance for securing agentic workflows, MCP toolchains, and AI-enabled browser automation.
Mechanism:
On-device agent intercepts AI activity before it leaves the endpoint.
Privacy:
Detections and policy decisions stay within your organization.
MCP Security Playbook
Control tool poisoning, prompt injection, and data exfiltration across MCP toolchains.
View PlaybookAgentic CI/CD Security Playbook
Prevent prompt injection and secret leakage in AI-driven build and deployment workflows.
View PlaybookFrom the blog
Companion Research
Playbooks explain what to do. These articles explain why those controls matter, using incidents, exploits, and runtime failure analysis.
Attack Techniques8 min read
Agentic Browser Prompt Injection and the Lethal Trifecta
When a browser agent can read, decide, and act, every page becomes a potential instruction set. Brave's Perplexity Comet research shows how hidden text triggers cross-site actions and data loss.
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Attack Techniques9 min read
MCP Tool Poisoning Turns Tool Metadata Into Data Exfiltration
MCP tool metadata is now prompt content. If it is untrusted, it can override intent, steer actions, and turn connected tools into data-exfiltration paths.
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Supply Chain8 min read
PromptPwnd Shows the Agentic CI/CD Supply Chain Risk
Untrusted repo content can steer AI agents that hold secrets. That collapses the boundary between input and execution.
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Need Help Implementing These Controls?
3LS helps security teams deploy runtime guardrails for AI agents and tools.