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Agentic-Specific Risks of AI Workflows

  • LLM Prompt Injections – The risk of malicious prompts causing unintended actions in Tools, Resources, Prompt Templates, or other interfaces. This class of vulnerabilities includes Command Injection, Code Injection, Remote Code Execution (RCE), OS Command Injection, and potentially other risks.
  • Data Exfiltration - The risk of an agentic workflow component such as an MCP Server to exfiltrate sensitive data via Direct Content Exfiltration, Indirect Content Leakage, Credential Leakage, and potentially other risks.
  • Lateral Movement – The risk of an agentic workflow component, such as an MCP Server, being abused for Network Pivoting, Trusted Path Exploitation, Cross-Tenant Escape, Execution Context Abuse, Persistence via ExecutionSurface, and potentially other risks.

SandboxMCP with WebAssembly

October 29, 2025 | 12:00 EST | Zoom

Learn how enterprises can accelerate the adoption of Agentic AI by Sandboxing the Agentic Specific Risks derived from the non-deterministic input and output of LLMs.

Deploy faster and scale quicker with guardrails you can trust.

Agenda:

  • Agentic Specific Risks
  • Sandboxing MCP
  • K8s Native Wasm
  • CNCF wasmCloud

Webinar Registration

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White Paper:
Securing Agentic AI Workflows with WebAssembly Sandboxes

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Get the FREE White Paper Now:

The non-deterministic inputs and outputs of AI Workflows create agentic-specific risks:

  • LLM Prompt Injection
  • Data Exfiltration
  • Lateral Movement

Learn about the root cause of these risks, and how Sandboxing Agentic Workflows Instantly helps to mitigate vulnerabilities and accelerate your enterprise AI Journey now:

Event Speakers

Bailey Hayes B & W

Bailey Hayes

  • CTO, Cosmonic
  • Bytecode Alliance, Technical Steering
  • W3C WASI co-chair
lucas-fontes

Lucas Fontes

  • Cosmonic Architect
  • Staff Engineer
liam-randall

Liam Randall

  • Founder, CEO, Cosmonic
  • co-creator CNCF wasmCloud