Secure Context Buyer Diligence Brief

Why this page exists. SecurityRecipes has enough evidence that the next problem is not adding more claims. The next problem is making the first buyer review easy: one brief, exact evidence paths, clear objection handling, and no overclaiming before customer runtime proof.

SecurityRecipes is positioned as The Secure Context Layer for Agentic AI. That is a strong category claim, but a serious enterprise buyer, frontier lab, or acquirer will not start by reading every artifact. They will ask:

What is the product in one sentence?
Why is this timely now?
Why is it more than docs?
Which MCP, A2A, telemetry, identity, and context risks are covered?
What is open, what is paid, and what proof is still missing?

The Secure Context Buyer Diligence Brief turns those questions into a generated MCP-readable packet. It pulls from the trust-center export, value model, pilot pack, source freshness watch, control-plane blueprint, standards crosswalk, protocol conformance, MCP authorization, telemetry contract, run receipts, app intake, and posture snapshot.

What was added

data/assurance/secure-context-buyer-diligence-profile.json - source profile for buyer briefs, enterprise questions, objection handlers, industry bets, and deal-room next steps.
scripts/generate_secure_context_buyer_diligence_brief.py - deterministic generator and --check validator.
data/evidence/secure-context-buyer-diligence-brief.json - generated brief with source-pack hashes, 5 buyer briefs, 12 enterprise questions, 8 objection handlers, 4 industry bets, and 4 next proof steps.
recipes_secure_context_buyer_diligence_brief - MCP tool for the full brief, a buyer persona, enterprise question, objection, industry bet, source reference, or status-filtered view.

Run it from the repo root:

python3 scripts/generate_secure_context_buyer_diligence_brief.py
python3 scripts/generate_secure_context_buyer_diligence_brief.py --check

What the brief contains

Section	Purpose
`features_assessed`	Records the high-value feature options considered and why this buyer brief was selected for this run.
`buyer_briefs`	Frontier lab, AI platform, security platform, regulated enterprise, and VC/acquirer review angles.
`enterprise_questions`	RFP-style answers for product shape, urgency, MCP safety, A2A handoffs, telemetry, ROI, secure-by-design, and exit readiness.
`objection_handlers`	Crisp answers to docs-only, no-revenue, MCP-risk, prompt-injection, incumbent, private-data, and artifact-sprawl objections.
`industry_bets`	Current bets around MCP, A2A, OpenTelemetry, and agentic control planes with monetizable surfaces.
`deal_room_next_steps`	The proof points needed next: design partners, hosted MCP auth, private context registry, and trust-center API.

The generated artifact currently reports buyer_diligence_brief_ready with 12/12 source packs ready, 12/12 enterprise questions backed by reference evidence, and 8/8 objections tied to generated evidence.

Why it is acquisition-grade

This is the packet a buyer should see before a broad demo. It makes the site feel like a company foundation instead of a collection of pages:

It names the buyer and acquirer personas explicitly.
It turns the open corpus into a review workflow.
It separates reference evidence from customer runtime proof.
It points each claim to generated JSON and MCP tools.
It keeps the next valuation proof concrete: design partners, hosted auth, tenant isolation, private context ingestion, signed receipts, metering, and renewal signal.

That is the right posture for a credible $10-20M path. The project does not need to pretend revenue exists today. It needs to prove that the open secure-context layer can become a hosted MCP control plane that a frontier lab, AI platform, or security vendor would rather buy than rebuild.

MCP examples

Inspect the full brief:

recipes_secure_context_buyer_diligence_brief()

Inspect the acquirer view:

recipes_secure_context_buyer_diligence_brief(buyer_id="vc-or-acquirer")

Answer a buyer question:

recipes_secure_context_buyer_diligence_brief(question_id="mcp-authorization")

Handle a common objection:

recipes_secure_context_buyer_diligence_brief(objection_id="docs-only")

Inspect a market bet:

recipes_secure_context_buyer_diligence_brief(bet_id="mcp-becomes-agent-integration-layer")

Industry alignment

The profile is grounded in current primary and authoritative sources:

OWASP Top 10 for Agentic Applications 2026 for autonomous agent risk framing.
OWASP MCP Top 10 for MCP-specific token, scope, tool, command, audit, shadow-server, and context risks.
MCP Authorization 2025-11-25 for OAuth 2.1, protected resource metadata, resource indicators, audience validation, PKCE, and token handling.
OpenAI MCP guidance and ChatGPT MCP developer mode guidance for custom MCP safety, prompt injection, write actions, server trust, RBAC, risk warnings, and connector vetting.
OpenTelemetry MCP semantic conventions for MCP-specific trace and metric evidence.
CSA Securing the Agentic Control Plane for the emerging control-plane category.
NIST AI RMF Generative AI Profile, NIST SP 800-218A, and CISA Secure by Design for enterprise governance, secure development, and producer accountability expectations.