Red teaming finds the gaps. VANGUARD closes them in production.
Gray Swan stress-tests your AI with adversarial testing. VANGUARD enforces policy continuously once those systems are live.
Gray Swan AI 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.
Strongest fit: Adversarial testing and attack discovery
Gray Swan AI specialises in red teaming - adversarial testing and attack discovery - a test-time complement to runtime enforcement.
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.
VANGUARD vs Gray Swan AI, layer by layer.
Gray Swan AI is strong in its layer - VANGUARD governs the runtime above it. The two are complementary; teams often run both.
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.