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SolutionsFor CISOs

For CISOs: one defensible position on AI risk.

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

Read the one-page brief
Board pack · AI riskIllustrative

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.

In short

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.

Last reviewed

The question you are asked

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

For CISOs

The questions you are asked, and what answers them.

  1. Nobody can say which AI the company runs, or who owns it.

    See

    The controlColossalX finds models, agents and AI tools, each with an owner.

  2. The controls look fine on paper, but nobody has attacked them.

    Red-teaming and validation

    The controlColossalX attacks your own AI, with authorisation, and quotes the reply.

  3. A dashboard says all clear because a source went unread.

    ColossalX Trust Engine

    The controlThe trust score says provisional; the CISO review says incomplete.

CISO reviewIllustrative

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.

The board

Questions your board will ask.

Up to 20%

of G1000 firms expected to face AI-agent governance fallout by 2030 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. Source: IDC FutureScape 2026, 23 Oct 2025.IDC, 23 Oct 2025
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.

FAIR · AI risk in moneyIllustrative

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.

ColossalX

One-page brief · For CISOs

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.

Read the full brief

What it does

  • 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

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

LimitNo certification held; frameworks are mapped to and assessed against.

https://colossalx.tech/solutions/cisoclient.success@quantexra.techSaaS, each customer in its own workspace and databaseWritten for a CISO · last reviewed 6 Oct 2026

Honest by design

What we will not tell you.

CISO review · a source unreadIllustrative

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.

x, not measured

ColossalX is delivered as SaaS only; each customer runs in its own workspace and database.

All 3 limits
  • 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.

Questions

Questions buyers ask

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.

Next step

Know your x before your board asks.

See ColossalX on the questions your board will ask: what you run, what it does, and whether defences hold.

Book a walkthrough Email us instead
  1. 01Tell us what you run
  2. 02See the four verbs on it
  3. 03Decide where to start