RiskMandate v1.36.2
About · the company and the founders

Two founders, one company, and a document about one agent.

RiskMandate is run by its two founders: Nimay Parekh, co-founder and chief executive, and Dinis Cruz, co-founder. What it sells is the Agent Behaviour Policy, for one agent in one deployment: everything it can reach, what it was authorised to do, the gap, and what stands in the way. Where it is going is insurability, one step at a time. This page is the company, the two people, and the investor deck as it was presented in October 2026.

The deck: eighteen slides, riskmandate-investor-deck-v3.pdf, CC BY 4.0, read slide by slide in section 03.

The people behind the agents that make this site, with a behaviour policy each, are on the team page.

This page as markdown: about.md

01 · The company

One question, one document, and the document is the product.

The question RiskMandate answers is narrow: what can this agent we just connected actually do, and who said it could? The product is the Agent Behaviour Policy, written in the open as sixteen template policies for the shapes people run, and sold at four levels, from a pack to a reviewed policy with a named person’s signature. The site, the templates and the tooling are open source; riskmandate.ai is one of the sgit.ai network of sites, and every vault it publishes is encrypted with its read key printed on purpose.

  • 1

    The Agent Behaviour Policy available now

    For one agent in one deployment: the grant measured on the thing itself, the mandate in the deployer’s words, the gap derived, a barrier on every row. Never a score.

  • 2

    The Licence to Operate template

    The business is the authority, the policy is the instrument, the agent is the licensee. The demo shows a licence written against a behaviour policy, with a term and a condition.

  • 3

    The Insurability Index in design

    A dated record of the deployment, with the residual risk explicitly owned, in a form an insurer can read. The Index is where the deployment gets a number; the behaviour policy never does.

The company, for the record: RiskMandate’s early trading runs through The Cyber Boardroom, a company incorporated in the UK and the lead’s earlier venture; a company for RiskMandate alone, between the two founders, is being set up. The line is said in full only on the early-adopters page, where it matters, because the people that page thanks were The Cyber Boardroom’s early users.

02 · The founders

Two people, and where each of them comes from.

Enterprise risk and insurance distribution on one side; security engineering and the governance of agents on the other. The two lines below are the ones on the investor deck, as given on 2 October 2026; nothing is added to them here.

Co-founder & chief executive

Nimay Parekh

Built cyber-insurance and supply-chain risk products at SecurityScorecard.

Senior partnerships and product leadership across enterprise software; INSEAD MBA; White House innovation fellowship experience.

Co-founder

Dinis Cruz

Long-time application-security and OWASP leader.

Former CISO, Holland & Barrett. Chief Scientist, Glasswall. Founder, The Cyber Boardroom. Deep focus on GenAI, security and operational risk.

Runs the reviewed level: the record behind Dinis, with every line sourced.

The deck’s own line for the pair: enterprise risk + insurance distribution + security engineering + AI-native governance. On this site the lead of the publication workflow is Dinis, as the team page says; the agents that make the site hold a behaviour policy each, and a person is not profiled.

03 · The investor deck

Eighteen slides, as presented in October 2026.

The deck says in eighteen slides what this site says in sixty pages: agents are becoming economic actors and the liability stack is not ready; the people who can say yes are not bookable and their judgement is not portable; the answer is continuous evidence plus expert judgement in one record an insurer can read. It is published here as the file the founders present from, under the same CC BY 4.0 licence as every page on this site, so that anybody we talk to can read it before and after the conversation rather than from memory.

Slide 1: Make every AI agent insurable. Know what your agents can do. Put a named expert behind the judgement. Hand the evidence to the insurer.
01 Make every AI agent insurable.
Slide 2, the problem: AI agents are becoming economic actors. The liability stack is not ready. Three boxes: cover, accountable, no record.
02 · The problem AI agents are becoming economic actors. The liability stack is not ready.
Slide 3, why now: Three clocks started at once. Insurance, governance and regulation, each with a projected figure and its source named on the slide.
03 · Why now Three clocks started at once.
Slide 4, the missing piece: The people who can say yes are not bookable, and their judgement is not portable. Today, RiskMandate, outcome.
04 · The missing piece The people who can say yes are not bookable, and their judgement is not portable.
Slide 5, the insight: Combine continuous evidence with expert judgement into one insurer-readable record. A table of GRC, expert networks and RiskMandate.
05 · The insight Combine continuous evidence with expert judgement into one insurer-readable record.
Slide 6, the solution: Describe it. Correct it with a named person. Hand it to the insurer. Agent Behaviour Policy, reviewer bench, vault and licence.
06 · The solution Describe it. Correct it with a named person. Hand it to the insurer.
Slide 7, how it works: From model-drafted evidence to human-owned accountability. Draft, book, correct, sign.
07 · How it works From model-drafted evidence to human-owned accountability.
Slide 8, what the insurer reads: One agent. One deployment. Four questions. Reach 15, mandate 6, gap 9, barriers 7, counted from the published behaviour policy for Claude Code on the web.
08 · What the insurer reads One agent. One deployment. Four questions.
Slide 9, the reviewer network: Book the people who can make the judgement credible. Six roles from security professional to specialty broker.
09 · The reviewer network Book the people who can make the judgement credible.
Slide 10, product: A wedge today. A new underwriting primitive tomorrow. Agent Behaviour Policy available now, Licence to Operate template ready, Insurability Index in design.
10 · Product A wedge today. A new underwriting primitive tomorrow.
Slide 11, market: We sit at the intersection of three fast-forming budgets. AI insurance, AI governance software, expert networks, each figure with its source on the slide.
11 · Market We sit at the intersection of three fast-forming budgets.
Slide 12, business model: Three revenue lines that compound with agent count. Behaviour policies, sessions and bench, Insurability Index; the second and third marked as proposed launch economics.
12 · Business model Three revenue lines that compound with agent count.
Slide 13, competition: Everyone owns one piece of the loop. We connect the loop. A table of categories against deployment evidence, named sign-off and insurer-readable.
13 · Competition Everyone owns one piece of the loop. We connect the loop.
Slide 14, go-to-market: Land with open evidence. Expand through the people who already hold trust. Land, expand, network.
14 · Go-to-market Land with open evidence. Expand through the people who already hold trust.
Slide 15, traction: Live product, open standard, real artefacts, before institutional capital. 16 templates, a live working vault, a shipped review flow; the next proof points named as forward milestones.
15 · Traction Live product, open standard, real artefacts, before institutional capital.
Slide 16, team: Cyber risk scoring meets security engineering and GenAI. Nimay Parekh, co-founder and CEO; Dinis Cruz, co-founder.
16 · Team Cyber risk scoring meets security engineering and GenAI.
Slide 17, the vision: Every consequential agent should have a licence to operate. Enterprise declares the mandate, RiskMandate measures reach and records sign-off, the insurer accepts the evidence and prices cover.
17 · The vision Every consequential agent should have a licence to operate.
Slide 18: The trust layer for the agentic economy. Evidence that enterprises can own. Judgement that experts can sign. Records that insurers can read.
18 The trust layer for the agentic economy.
  • The counts on slide 8 (reach, mandate, gap, barriers) are read from the published behaviour policy for Claude Code on the web, and the sixteen templates on slide 15 are the library. Both match the site on the day this page was made, 2 October 2026; if the vault is re-measured, the site moves and the deck does not.
  • The market figures on slides 3 and 11 carry their sources on the slide itself, by name and year. They are not restated on this page, and the site makes no claim of its own about them.
  • The prices on slide 12 are marked on the slide as proposed launch economics for investor discussion. The prices the store charges today are on the four levels, with the date they were read.
  • The footer. As presented, every slide’s footer said Confidential. The lead chose to publish the deck on 2 October 2026 and asked for the word to go, so the published file says CC BY 4.0 there instead, set in the deck’s own letterforms; nothing else on any slide was touched. The deck’s own page numbers run 01 to 17 and then 19, which is the file as presented.
  • A second deck, fourteen slides rendered from this site’s own numbers, with a check that fails the build when they drift, is on the brand page. That one is for a conference profile; this one is for a conversation about investment.
04 · Where to go from here

If you are an investor, a reviewer, or someone we owe a thank you.

Investors

Talk to us

The contact page reaches both founders. Say which slide you want to argue with.

 Reviewers

Who runs your review

The reviewed level is somebody’s time. One name today, and the list is built for more.

 Early adopters

A thank you

For the early users of The Cyber Boardroom and the early adopters of RiskMandate: a behaviour policy corrected with you.

 The team

Our own agents’ policies

The agents that make this site, each with an Agent Behaviour Policy in the same grammar as the catalogue.

What this page does not do: it does not list a company registration, an address or a cap table; it does not carry photographs; and it does not say what either founder’s agents can do, because a person is not profiled and an agent gets a behaviour policy instead.