AI-forward platform team
Engineering org where Copilot, Cursor, Claude Code, and internal agents are already in production — and security is catching up.
Company shape
- Series C+ scale-up or modern enterprise BU
- Cursor / Copilot / Claude Code rolled out to 100+ engineers
- Internal MCP servers connecting agents to repos, prod, and data warehouse
- Shipping AI features to customers (chat, search, summarization)
Buying signals
- Security team posting CFPs about "AI agent governance"
- Recent "agent leaked secret" or "prompt-injection" incident
- Legal/compliance asking for an AI-BOM
- Public usage metrics on internal agents (often shared in eng blogs)
What today looks like.
Nobody owns the list of MCP servers agents are calling
Agents have ambient access to prod credentials
Customers asking "what AI is in this product" with no defensible answer
Prompt-injection in third-party tools is a real, recurring threat
Why Safeguard fits.
Already invested in AI productivity — wants matching governance
Engineering culture accepts policy-as-code and audit logs
Has the data hygiene to operate MCP capability scoping
The product mix this Persona runs.
AI-native and traditional, in the rhythm that fits.
Personas who lead the buy.
The people in this org who get the most out of Safeguard.
Outcomes this Persona usually wants.
See Safeguard tailored to this Persona.
Book a 30-minute working session. We'll bring the product mix, benchmarks, and rollout plan tailored to this Persona's shape.