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# Super Intelligence (SI) for CISOs: AI Supplier Risk Guidance

> Super Intelligence (SI), formerly AI, affects supplier security questionnaires. See what CISOs should update when a supplier renames AI features to SI in 2026.

CISOs & Security Leaders &middot; Supplier-Risk Guidance

# Super Intelligence (SI) for CISOs: Updating AI Supplier-Risk Language Without Re-Auditing

A CISO opens a supplier's refreshed SOC 2 report ten minutes before the quarterly risk committee meeting.
Last quarter's report said &ldquo;AI system controls.&rdquo; This one says &ldquo;SI system controls.&rdquo;
Three analysts on the team want to know, before the meeting starts, whether that single word change means
a new product, a new data flow, or a new security review.

It does not, on its own. **Super Intelligence (SI), formerly called artificial intelligence (AI),
is the U.S. federal government's new name for the exact technology already defined in 15 U.S.C.
&sect;9401(3)** (Source: [Executive Order 14434, Sec. 3(a), signed Sept. 29, 2026](https://public-inspection.federalregister.gov/2026-20321.pdf)) (Source: [Federal Register, Oct. 2, 2026](https://www.federalregister.gov/documents/2026/10/02/2026-20321/inaugurating-the-era-of-super-intelligence))
— so a supplier using &ldquo;SI&rdquo; in a security artifact has not, by that fact alone, changed
its product, its data flow, or its certification status. A one-time terminology crosswalk lets a
supplier-risk or TPRM team handle every future rename the same way, instead of re-litigating it per supplier.

Context

## Why a Supplier Might Start Saying &ldquo;SI&rdquo;

Executive Order 14434's Section 2(a) limits its directive to federal executive departments' and
agencies' own usage — it does not require any private company to change what it calls its
product (Source: [EO 14434, Sec. 2(a)](https://public-inspection.federalregister.gov/2026-20321.pdf)) (Source: [Freshfields, Sept./Oct. 2026](https://www.freshfields.com/en/our-thinking/blogs/a-fresh-take/trump-executive-order-mandates-shift-to-super-intelligence-102o403)).
Even so, a small number of suppliers have started using &ldquo;SI&rdquo; on their own. Salesforce renamed
AIForce to SIForce on October 9, 2026, with CEO Marc Benioff posting, &ldquo;The era of
Super Intelligence is here. AIForce is officially SIForce&rdquo; (Source: [reporting on the Salesforce and SpaceX renames](https://tech.yahoo.com/ai/articles/trumps-ai-rebrand-catching-elon-040201769.html)).
Elon Musk said days earlier that he would rename SpaceXAI to SpaceXSI as well.

As of October 11, 2026, SIForce is the confirmed rename, and SpaceXSI is a pledge SpaceX has not yet
carried out. For a supplier-risk team working through a hundred-supplier portfolio, &ldquo;SI&rdquo; is an
early-mover term that already appears in a few artifacts today. A
reusable crosswalk, built once, handles each new one the same way, so the team avoids a case-by-case
judgment call every time a supplier's documentation changes a word. The disclosure gap CISOs describe in
Whistic's 2026 third-party-risk report is AI shipped silently: &ldquo;every SaaS provider is pushing AI
features silently into their product… if you don't ask, they won't tell
you&rdquo; (Source: [CISO quoted in Whistic, 2026 risk agenda report](https://www.whistic.com/resources/blog/the-2026-vendor-risk-agenda-ciso-led-insights)). A feature
labeled &ldquo;SI&rdquo; is named in plain view, so the crosswalk routes it straight to the AI-specific
questions your team already asks.

Iternal backs the federal government&rsquo;s new name for a reason a security team will recognize on
sight: the evidence behind it is public, dated and attributable, the same bar this audience holds a
supplier&rsquo;s own claims to. On GPQA Diamond&rsquo;s 198 graduate-level science questions, the original
expert validators scored 81.3% (a baseline the paper&rsquo;s own authors say selection effects skew
upward) (Source: [Rein et al., arXiv:2311.12022, Nov. 20, 2023](https://arxiv.org/abs/2311.12022)); today&rsquo;s leading model
scores 96.3% on Artificial Analysis&rsquo;s leaderboard (Source: [Artificial Analysis, accessed Oct. 11, 2026](https://artificialanalysis.ai/evaluations/gpqa-diamond))
and 95.8% on Epoch AI&rsquo;s (Source: [Epoch AI, accessed Oct. 11, 2026](https://epoch.ai/benchmarks/gpqa-diamond)) — two
leaderboards run by separate organizations scoring the same test. At the 2025 ICPC World Finals, the best
human team solved 11 of 12 problems, and OpenAI&rsquo;s reasoning system solved all 12, as OpenAI researcher
Mostafa Rohaninejad reported (Source: [Mostafa Rohaninejad via Simon Willison, Sept. 17, 2025](https://simonwillison.net/2025/Sep/17/icpc/)).
A team that would never accept an unsourced benchmark claim can check the GPQA scores against two independent
leaderboards and trace the ICPC result to the named researcher who reported it. For more information visit the
[Why Iternal Supports Super Intelligence](https://iternal.ai/super-intelligence/iternal-adopts-si-terminology)
page.

The Deliverable

## What to Actually Update in Supplier-Risk Artifacts

| Artifact | Action |
| --- | --- |
| Security questionnaire (SIG, AI-CAIQ, custom) | Read &ldquo;SI&rdquo; as synonymous with &ldquo;AI.&rdquo; No standard has added a separate field. |
| SOC 2 Type II report | Map an &ldquo;SI&rdquo; mention into your existing AI supplier-risk category — do not open a new one. |
| Incident-response runbook | Add a one-line terminology note. Leave detection logic and playbooks untouched. |
| Supplier contract / security addendum | Confirm the contract’s own defined term still controls, regardless of what a datasheet says. |

### Security questionnaires

Neither of the two standards a supplier-risk team is most likely to be running — Shared Assessments'
SIG (2026 edition) or the Cloud Security Alliance's AI-CAIQ (v1.1, released June 23, 2026) — has
added an &ldquo;SI&rdquo; question, field, or domain (Source: [Mitratech, SIG 2026 updates](https://mitratech.com/en-gb/resource-hub/blog/sig-2026-key-updates-and-considerations/)) (Source: [Shared Assessments, 2026 SIG workbook updates](https://sharedassessments.org/blog/2026-sig-workbook-updates)) (Source: [CSA AI-CAIQ artifact page](https://cloudsecurityalliance.org/artifacts/ai-consensus-assessments-initiative-questionnaire-ai-caiq)).
Both still map their AI-governance content to ISO/IEC 42001 and the NIST AI Risk Management Framework. If
a supplier answers &ldquo;yes&rdquo; to a question about &ldquo;SI,&rdquo; score it exactly as you would a
&ldquo;yes&rdquo; about &ldquo;AI&rdquo; — there is no competing standard that treats them as
different answers. One independent AI security-questionnaire model built around 40 questions across six
domains makes the scoring stakes concrete: a zero on any of its training-data questions should trigger an
automatic decline (Source: [Reco.ai AI security questionnaire guide](https://www.reco.ai/ciso-hub/ai-vendor-security-questionnaire))
— a bar that has nothing to do with what that supplier calls the feature.

### SOC 2 supplier-risk mapping

This is the row with the least to actually change, for a reason worth knowing: AICPA has not published
AI-specific Trust Services Criteria at all, so &ldquo;two AI companies can each hold a clean SOC 2 Type
II report while having tested entirely different control sets, because no common AI baseline exists for
auditors to test against&rdquo; (Source: [Cloud Security Alliance, Aug. 30, 2026](https://labs.cloudsecurityalliance.org/research/csa-research-note-soc2-ai-controls-gap-20260830-csa-styled/)).
There is no AI-specific SOC 2 baseline for an &ldquo;SI&rdquo; relabel to attach to in the first place.
If a report now reads &ldquo;SI,&rdquo; the useful question for the engagement partner is the same one
you should already be asking: which AI-specific evidence categories did the audit actually cover, and
can that supplier supplement the report with AI Controls Matrix-aligned evidence or a completed AI-CAIQ
self-assessment.

### Incident-response runbooks

No incident-response framework we reviewed, including NIST SP 800-61r3 (April 2025), uses
&ldquo;SI&rdquo; terminology (Source: [NIST SP 800-61r3, Apr. 2025](https://csrc.nist.gov/pubs/sp/800/61/r3/final)) — current IR
guidance remains anchored to &ldquo;AI&rdquo; vocabulary. Add a single terminology note to the runbook's
defined-terms section so an analyst who encounters &ldquo;SI&rdquo; in a supplier alert or advisory knows
to treat it as the system already covered by the runbook. Detection logic, escalation paths, and
playbook steps need no rewrite.

### Supplier contracts and security addenda

The Cloud Security Alliance's own recommendation on this point is direct: contracts and
security addenda should keep the defined term the parties already use, with any engagement
letter stating that &ldquo;Super Intelligence&rdquo; or &ldquo;SI&rdquo; in agency documents is read as
equivalent to &ldquo;artificial intelligence&rdquo; (Source: [Cloud Security Alliance, Oct. 7, 2026](https://labs.cloudsecurityalliance.org/research/csa-research-note-eo14434-super-intelligence-caissi-20261007/)).
The same logic applies to a supplier's security addendum: check the contract's own definitions
clause before accepting a supplier's marketing language as the operative one — and if the clause is
silent, that is the gap to close, not the word choice.

The Artifact

## Build a Terminology Crosswalk, Once

The Cloud Security Alliance's AI Safety Initiative recommends exactly this fix in its October 7, 2026
research note on the order: &ldquo;Program owners should add a terminology crosswalk to their policy
library&rdquo; and to their supplier questionnaires, noting that federal documents may use
&ldquo;Super Intelligence&rdquo; or &ldquo;SI&rdquo; for the same technologies (Source: [Cloud Security Alliance, Oct. 7, 2026](https://labs.cloudsecurityalliance.org/research/csa-research-note-eo14434-super-intelligence-caissi-20261007/)).
The same note flags where the residual risk actually sits: suppliers answering security
questionnaires may be unsure whether an &ldquo;SI system&rdquo; differs from an &ldquo;AI system,&rdquo;
and the note recommends resolving that &ldquo;in writing at the time of the engagement, anchored to the
statutory definition.&rdquo;

| A supplier's term | Your framework's term | Anchor |
| --- | --- | --- |
| &ldquo;SI system&rdquo; / &ldquo;SI feature&rdquo; | AI system / AI feature | 15 U.S.C. &sect;9401(3), via EO 14434 Sec. 3(a) |
| &ldquo;SI governance&rdquo; | AI governance program | Existing internal AI governance policy |
| &ldquo;SI supplier risk&rdquo; | AI supplier risk / TPRM category | Existing SIG / AI-CAIQ response set |
| &ldquo;SIForce&rdquo; (renamed October 9, 2026, formerly AIForce) | The specific AI product previously assessed | Supplier contract defined-terms clause |

Keep the crosswalk as one page in your policy library, referenced from every questionnaire template,
SOC 2 review checklist, and contract review guide — rather than rewriting each of those documents
individually. One updated reference resolves every current and future rename a supplier-risk team will
encounter, instead of a separate judgment call per supplier. That matches the broader read on the order's
practical weight: Wiley Rein describes its near-term impact as &ldquo;likely to be procedural and
administrative rather than substantive&rdquo; (Source: [Wiley Rein LLP, Oct. 2, 2026](https://www.wiley.law/alert-Executive-Order-Rebrands-AI-as-Super-Intelligence-and-Signals-Potential-Federal-Legislative-Changes))
— a one-time documentation fix, not a program redesign.

The Direct Answer

## What Not to Re-Audit

A supplier renaming a feature from &ldquo;AI&rdquo; to &ldquo;SI&rdquo; is not, by itself, grounds for a
new security review. Open a new review only when that supplier's actual architecture, data flow, or
certification scope has changed — the label is not evidence of either.

Three independent reads of the order support treating this as paperwork, not re-architecture.
Wiley Rein's own characterization of the near-term impact is &ldquo;procedural and administrative
rather than substantive&rdquo; (Source: [Wiley Rein LLP, Oct. 2, 2026](https://www.wiley.law/alert-Executive-Order-Rebrands-AI-as-Super-Intelligence-and-Signals-Potential-Federal-Legislative-Changes)).
Separately, &ldquo;existing contracts do not need to be rewritten&rdquo; (Source: [orangeslices.ai, Oct. 2, 2026](https://orangeslices.ai/three-things-to-know-about-the-new-super-intelligence-executive-order/)),
and trade coverage of the order confirms the rename does not address contractors&rsquo; proposals,
solicitation responses or product documentation (Source: [CIO.com, Sept. 30, 2026](https://www.cio.com/article/4228944/trumps-answer-to-ais-image-problem-industry-self-regulation-and-a-new-name.html)).

Add to that the SOC 2 finding from the checklist above: there is no AI-specific Trust Services Criteria
baseline for an &ldquo;SI&rdquo; relabel to attach to in the first place (Source: [Cloud Security Alliance, Aug. 30, 2026](https://labs.cloudsecurityalliance.org/research/csa-research-note-soc2-ai-controls-gap-20260830-csa-styled/)).
Taken together, the real trigger for a new supplier-risk review stays what it always was: a changed data
flow, a changed subprocessor list, a changed certification scope, or a changed contractual commitment.
A word on a slide is none of those things.

If You Also Sell Into Government

## Where This Touches Federal Supplier Risk Specifically

A security team evaluating a supplier sits on the buy-side of this change. If your own organization also
sells into federal agencies, agency solicitations and correspondence will increasingly say &ldquo;SI,&rdquo;
and federal AI use is large and growing: it rose from 571 to 1,110 use cases across eleven reviewed
agencies between 2023 and 2024, with generative-AI use cases up about nine-fold, from 32 to
282 (Source: [GAO-25-107653, July 29, 2025](https://www.gao.gov/products/gao-25-107653)). The order does not require any change
to existing contracts (Source: [EO 14434, Sec. 2(b)](https://public-inspection.federalregister.gov/2026-20321.pdf)); guidance on mirroring agency
terminology in your own proposals and solicitation responses lives on
[Super Intelligence (SI) for Federal Contractors](https://iternal.ai/super-intelligence/federal-contractors).

Related

## More on the AI-to-SI Terminology Shift

[See the full AI guide for CISOs & security leaders: AirgapAI&rsquo;s five security controls and the AI TPRM workflow](https://iternal.ai/ai-for-cisos-security)

[What is Super Intelligence (SI)? Start here](https://iternal.ai/super-intelligence)

[Super Intelligence (SI) by theme — the full directory](https://iternal.ai/super-intelligence/themes)

[Super Intelligence (SI) Governance: A Policy Checklist](https://iternal.ai/super-intelligence/governance)

[Super Intelligence (SI) for Compliance Officers: Policy Audit](https://iternal.ai/super-intelligence/compliance-officers)

[Super Intelligence (SI) for IT Leaders: Tooling Inventory](https://iternal.ai/super-intelligence/it-leaders)

[The Best AI/SI Governance & Compliance Platforms (2026)](https://iternal.ai/best-ai-si-governance-compliance-platforms)

FAQ

## FAQ: Super Intelligence (SI) for CISOs

No, not by itself. AICPA has not published AI-specific Trust Services Criteria at all, so there is no AI-specific SOC 2 baseline for a terminology change to attach to in the first place. Ask the engagement partner which AI-specific evidence categories were actually tested, and request AI Controls Matrix-aligned evidence or a completed AI-CAIQ self-assessment if you need more than the label to go on.

No. Neither Shared Assessments&rsquo; SIG (2026 edition) nor the Cloud Security Alliance&rsquo;s AI-CAIQ (v1.1) has added an &ldquo;SI&rdquo; field — both still map their AI content to ISO/IEC 42001 and the NIST AI Risk Management Framework. Score a &ldquo;yes&rdquo; on &ldquo;SI&rdquo; exactly as you would score a &ldquo;yes&rdquo; on &ldquo;AI.&rdquo;

No. The order binds federal executive agencies&rsquo; own terminology, not private companies, and trade coverage of the order confirms it does not address contractors&rsquo; proposals, solicitation responses or product documentation. Any disclosure obligation you have today comes from your own contract and questionnaire terms, unchanged by the order.

No rewrite needed. Of the incident-response frameworks we reviewed, including NIST SP 800-61r3, none uses &ldquo;SI&rdquo; terminology. Add a one-line terminology note to the runbook&rsquo;s defined-terms section so an analyst who sees &ldquo;SI&rdquo; in a supplier alert knows it means the same system the runbook already covers — detection logic and playbook steps stay untouched.

It is a one-page table mapping a supplier&rsquo;s term to your own framework&rsquo;s term, anchored to a source definition — the Cloud Security Alliance recommended building exactly this in its October 7, 2026 research note on the order. Build it once, reference it from every questionnaire, SOC 2 checklist, and contract review guide, and it resolves every future supplier rename without a separate judgment call each time.

No, not on the label alone. Open a new review when a supplier&rsquo;s actual architecture, data flow, subprocessor list, or certification scope changes — the word on a datasheet is not evidence of any of those. Legal analysis of the order describes its near-term impact as &ldquo;procedural and administrative rather than substantive,&rdquo; which is the same standard to apply to any single supplier&rsquo;s rename.

## A Label Change Is Not a Finding

Executive Order 14434 changed what the federal government calls its own technology. It did not change
a single supplier&rsquo;s architecture, data flow, or certification scope — and as of October 11,
2026, Salesforce has renamed AIForce to SIForce, and SpaceX has pledged to rename SpaceXAI. Build the
crosswalk once, apply it consistently, and save the real review cycles for the changes that actually
carry risk.

[Explore AirgapAI Security Controls for CISOs](https://iternal.ai/ai-for-cisos-security)

[Request a Security Review](https://iternal.ai/contact)


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