Compare · VANGUARD vs Lakera

Prompt defence ends where agent actions begin.

Lakera protects AI conversations. VANGUARD governs what agents are allowed to do after prompts become plans, tool calls, and workflow actions.

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Different layers

Lakera and VANGUARD solve different layers.

Most AI security tools solve a different layer. VANGUARD focuses on runtime governance: what an AI system is allowed to do, in this context, for this tenant, with this tool, using this instruction.

Lakera · Prompt defence

Strongest fit: Prompt injection, jailbreaks, unsafe interactions

Lakera detects prompt injection, jailbreaks and unsafe interactions before or during generation - strong protection at the conversation layer.

VANGUARD · Runtime governance

Governed AI execution in production

VANGUARD controls trusted instructions, context access, tool execution, and audit evidence once AI systems start taking action - across agents, RAG pipelines, and MCP-enabled workflows.

Capability map

VANGUARD vs Lakera, layer by layer.

Lakera is strong in its layer - VANGUARD governs the runtime above it. The two are complementary; teams often run both.

Capability
VANGUARD
Lakera
Prompt injection, jailbreaks, unsafe interactions
Complements
Runtime action & tool-call governance
MCP-enabled workflow mediation
Stateful, multi-turn intent tracking
Instruction provenance verification
Policy-as-code (OPA / Rego) enforcement
ZKP audit & governance evidence
Tenant-aware production policy
Why VANGUARD

Govern actions, not just prompts.

Secure MCP & tool-calling

VANGUARD mediates API access, tool execution, retrieved context, and runtime workflow decisions with tenant-aware policies.

Control stateful AI risk

Agentic threats emerge across memory, retrieved content, tool output, and multi-step execution - not one turn at a time.

Produce governance evidence

Every runtime decision is recorded with ZKP evidence that supports audits, assurance reviews, and internal policy checks.

Ready to govern AI agents in production?

Move beyond prompt filtering and gateway observability. Add runtime governance, MCP mediation, and policy enforcement to your AI stack.

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