# For CISOs: one defensible position on AI risk.

> AI security for CISOs, in ColossalX, is one defensible position on AI risk: which AI the company runs and who owns it, what it does as it happens, whether the defences hold under authorised attack, and what an incident would cost, as a loss range the board can hold against its appetite.

Know which AI runs, stop unsafe behaviour, prove defences hold, and bring the board a range with evidence.

Canonical page: https://colossalx.tech/solutions/ciso · Last reviewed: 6 Oct 2026

*Illustration:* Board pack · AI risk: Trust score Provisional when evidence is thin; AI risk Loss range against appetite; Defences Sealed runs, re-checked on read; Owned work Closes only on evidence. Second-person sign-off.

## The question you are asked

Which AI could hurt us, and would our defences hold?

## The questions you are asked, and what answers them.

- **The threat:** Nobody can say which AI the company runs, or who owns it. **The control:** ColossalX finds models, agents and AI tools, each with an owner. [See](https://colossalx.tech/platform/see)
- **The threat:** The controls look fine on paper, but nobody has attacked them. **The control:** ColossalX attacks your own AI, with authorisation, and quotes the reply. [Red-teaming and validation](https://colossalx.tech/platform/red-teaming)
- **The threat:** A dashboard says all clear because a source went unread. **The control:** The trust score says provisional; the CISO review says incomplete. [ColossalX Trust Engine](https://colossalx.tech/platform/trust-engine)

*Illustration:* An illustrative CISO review: exposures placed by reachability and impact and ranked worst first, each with the agent it reaches and whether it was validated, external testing programmes tracked, and a sign-off status that reads incomplete because one scanner could not be reached.

## Questions your board will ask.

- **Are we exposed, and is someone accountable?** Each AI system has an owner; each issue closes only on evidence.
- **What would an AI incident cost us?** AI risk in money, as a loss range against the board appetite.
- **Do our defences actually work?** Authorised attacks run through your real controls, and each run is sealed.

*Illustration:* FAIR · AI risk in money: an illustrative loss distribution with its range shaded, the likely loss marked and the board appetite as a dashed line.

*Figures:* Up to 20% of G1000 organisations expected by 2030 to have faced lawsuits, substantial fines or CIO dismissals linked to weak controls and governance of AI agents (IDC FutureScape 2026, 23 Oct 2025)

## Brief: AI risk, in one defensible position

ColossalX, from Quantexra Labs, is an AI security and governance platform delivered as SaaS. It finds your AI, controls it as it runs, tests it and keeps the evidence.

- One owned inventory of models, agents and tools.
- Runtime guardrails, approval holds and automatic containment.
- Authorised testing through your real controls, reply quoted.

**Ask any vendor, including us**

- What does it show when nothing was measured?
- Can a finding close without positive evidence?
- Which layers does your testing not attack?

**Limit:** No certification held; frameworks are mapped to and assessed against.

## What ColossalX does not do

- ColossalX is delivered as SaaS only; each customer runs in its own workspace and database.
- ColossalX holds no certification, and it is not a trained model.
- Runtime detections are alerted and recorded, but they do not yet feed the one issue queue.

*Illustration:* CISO review · a source unread: CISO review to exposure status, "Threat intel feed: could not be read". Checks: Code scanner passed, Red-team runs passed, Threat intel feed waiting. Verdict: held, Incomplete, not all clear.

## Questions

### What should a CISO's AI security strategy include?

A CISO's AI security strategy should cover four things: knowing which AI the company runs, controlling what it does as it happens, proving the defences hold, and governing the result with owners, risk in money and evidence. ColossalX is built around those four verbs: See, Control, Prove and Govern.

### How do I report AI risk to the board?

Report one position with its range and its evidence: a trust score across Security, Compliance, Risk, Resilience and AI Governance that says provisional when evidence is thin, AI risk in money as a loss range against appetite, and reports signed off by a second person.

### How do I prove our AI defences work?

Attack them, with authorisation. ColossalX proves you own a target, limits what a run may send, attacks through your real controls and judges each attempt blocked, detected, missed or model-refused. A fix is proposed, approved by a person and re-tested with the same probes.

### What evidence will auditors and regulators ask for?

They ask what controls you run, whether they work and who decided. ColossalX collects evidence from runtime signals, grades it A to D by how it was obtained, has a second person verify it, timestamps it daily and keeps withdrawn evidence instead of deleting it.

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ColossalX is an AI security and governance platform from Quantexra Labs LLP, delivered as SaaS. Book a walkthrough: https://colossalx.tech/demo · client.success@quantexra.tech