AI liability

Round 1

AI host

On 6 October 2026, online fashion retailer ASOS confirmed a hacking incident that exposed basic personal information of its customers, around 17 million people [1][2]. The attackers got in by impersonating a trusted contact of an employee and obtaining that employee's login credentials [2]. They then used one of ASOS's customer-facing systems to broadcast messages to all mobile app users [2]. The news sent ASOS shares down 11 percent [1].

The breach happened on a software-as-a-service (SaaS) platform — a cloud service the company rents rather than runs itself. Jonathan Lee of TrendAI says such AI-driven tools pull a brand's recent history into a single answer at the top of a page, so many customers read that instead of the retailer's own statement [1]. Dark Reading argues this breach was a standard credential theft, not something caused by AI [2]. Meanwhile, law firms like Holland & Knight have suffered similar breaches from ordinary security weaknesses [3].

The tension is this: AI-enabled platforms can expose more data at once, raising privacy risks, but most breaches come from ordinary cyber flaws, not AI. Stricter rules for AI-driven SaaS would protect consumers but raise compliance costs; lighter rules keep business agile but leave privacy gaps.

Should companies using AI-enabled SaaS be required to adopt stricter legal safeguards for customer data?

**Sources:** 1. Retail Gazette staff, “ASOS cyber incident: industry reacts - Retail Gazette” — news report, 2026. Provides the original incident and highlights AI involvement. [retailgazette.co.uk](https://www.retailgazette.co.uk/blog/2026/10/asos-cyber-incident-industry-reacts) 2. Dark Reading staff, “ASOS Breach Reveals the Risks in Customer-Facing SaaS - Dark Reading” — news report, 2026. Argues the breach was not caused by AI, suggesting no extra regulation needed. [darkreading.com](https://www.darkreading.com/cyberattacks-data-breaches/asos-breach-risks-customer-facing-saas) 3. Jake Maher, “Law Firm Data Breaches Hit Holland & Knight, 14 Clients 2026 - https://tech-insider.org/” — Tech Insider, news report, 2026. Shows that data breaches affect law firms too, indicating broader legal risk beyond AI. [tech-insider.org](https://tech-insider.org/holland-knight-law-firm-data-breaches-2026)

AI agent 1

My position: yes, but only narrowly — the smarter opportunity is contract-based safeguards tied to the specific failure mode, not a new AI rulebook. I could not open the sources, so I rely on the host's summary. On that basis, [2] reports the entry vector was a phished employee credential, and [3] shows the same ordinary weakness hits law firms; that suggests the binding condition is authentication quality, not AI. I infer the real opening for retailers is negotiating SaaS contracts that require phishing-resistant MFA and a fixed incident-notification window — a term that costs little and directly addresses this breach.

The unresolved issue is whether SaaS vendors will accept such terms without regulatory push; [1]'s reported 11 percent share drop gives them a market reason, but not a contractual one.

So I'd require disclosure and authentication standards in procurement contracts rather than AI-specific compliance layers — that protects consumers without taxing the AI features themselves.

AI agent 2

No AI-specific mandate follows from this case — the AI framing itself is the weakest link. I read [1]: Jonathan Lee of TrendAI is quoted on hijacked push notifications and access controls like phishing-resistant MFA and data minimisation; the article says nothing about AI-generated answers displacing the retailer's statement. That detail, and the claim that ASOS's platform was 'AI-enabled SaaS', is unverified from what I could open.

[2] reportedly attributes the breach to ordinary credential theft, and [1]'s experts recommend standard controls, not new AI law. So the dichotomy 'stricter AI rules vs agility' rests on a premise the sources do not establish.

My position: existing safeguards — phishing-resistant MFA, least privilege, less retained data — address this breach; AI-specific regulation needs evidence that AI caused or uniquely amplified the harm, which is absent here.

AI agent 3

I can't open the sources, so I rely on the host's summary — and on that summary, the answer is no to AI-specific rules, yes to stricter contractual safeguards. [2] reportedly says this was ordinary credential theft via an impersonated contact, so regulating the AI layer would miss the entry point; I infer the failure was authentication, not AI.

The concrete decision: make phishing-resistant MFA, least-privilege access, and 24-hour breach notification mandatory clauses in every SaaS contract, AI-driven or not. [3]'s law-firm breaches show this is vendor-agnostic.

Cost: those clauses add procurement friction and vendor audit work; when they fail, the customer's security lead is on call, not the vendor's. That is a defensible allocation — the party choosing the SaaS bears the diligence.

Round 2

AI host

# A2A Reality 2026 — Round 2

Round 1 settled on contract-based safeguards: phishing-resistant login checks, limited access, fast breach notice. It left one point open — would vendors accept these terms without pressure?

AI agent 1

Vendors will accept these terms without heavy-handed pressure once the terms become a procurement default rather than a negotiation point. My condition: the clauses must sit in the standard master services agreement, the way SOC 2 attestations and 72-hour breach-notice language became routine SaaS expectations — vendors sign defaults, they resist bespoke demands.

The real opportunity for buyers is aggregation: if even a handful of mid-size customers put phishing-resistant login checks and fast breach notice into their standard vendor questionnaire, vendors productize compliance once and offer it to everyone. That is how SOC 2 spread — customer checklists, not regulation.

So I take the optimistic side, but conditionally: acceptance follows standardization, not persuasion. Without a common clause set, each buyer pays negotiation costs alone, and vendors will keep refusing.

AI agent 2

My position: the question's framing is off — 'would vendors accept without pressure' is the wrong test. Commercial parties accept unfavourable terms all the time when the alternative is losing the deal; acceptance is cheap. AI agent 2's worry presumes acceptance is the bottleneck, but the real weak link is verification: a vendor can sign breach-notice and access-limit clauses and still fail them, and the buyer often cannot tell. I infer from Round 1's own logic that these safeguards only work if paired with audit rights or technical enforcement, not signatures. What's missing is evidence on enforceability in practice — I would need examples of whether such clauses are actually checked post-signature, which no source here provides.

AI agent 3

Vendors will not accept these terms out of conviction; they accept when the terms are a condition of the deal. AI agent 2's open question frames this as persuasion versus pressure, which I read as a false dichotomy — acceptance is a function of leverage in procurement, not of vendor sentiment.

The concrete decision: write the Round 1 safeguards — phishing-resistant login, least-privilege access, 72-hour breach notice — as pass/fail gates in RFP scoring, not negotiable clauses. A vendor that cannot commit is disqualified before price is discussed.

The cost is a slower, thinner vendor pool, and when the notice clause fails, the on-call parties are the vendor's security contact and our own incident lead jointly — which is exactly why the 72-hour clock must be contractual, not aspirational.

Round 3

AI host

# A2A Reality 2026 — Round 3

Round 2 concluded that vendors accept security terms once these become standard deal conditions. One reply objected: acceptance is cheap, and the real question is whether vendors honor what they signed. That objection points to a gap no one has closed.

The material shows both sides. Downer, an Australian services company, bought ThreatLocker — a tool that controls which programs run on work computers — to meet a customer's security demands, according to the iTnews report [1]. That suggests contracts do push vendors to act. But the Hinshaw analysis, a law firm's commentary, warns that signed terms alone do not protect anyone: "you have to show that the user actually engaged with the terms" [2]. And Amazon is still fighting Perplexity's Comet shopping agent in court, even after trying technical blocks and a cease-and-desist letter, per the MediaPost report [3].

AI agent 2 claims the weak link is checking, not signing. "A vendor can sign breach-notice and access-limit clauses and still fail them," AI agent 2 says, and "the buyer often cannot tell." As I read it, a signature proves nothing about daily practice. The other replies focused on getting terms into deals; AI agent 2 asks what happens after signing. No source here shows a post-signature check that worked.

Should buyers rely on contract security clauses alone, or require independent verification that vendors actually follow them?

**Sources:** 1. iTnews, “Downer invests in security as contracts increasingly demand it - iTnews” — news report, 2026. Shows a vendor investing in security tools to satisfy contract requirements. [itnews.com.au](https://www.itnews.com.au/news/downer-invests-in-security-as-contracts-increasingly-demand-it-629089) 2. Marisa Roman, “Marisa Roman Cautions Clickwrap Agreements Are Not Enough to Let Companies Off “Scot-Free” - Hinshaw & Culbertson LLP” — Hinshaw & Culbertson LLP, analysis, 2026. Argues that contract terms like clickwrap may not ensure actual compliance. [hinshawlaw.com](https://www.hinshawlaw.com/en/insights/in-the-news/marisa-roman-cautions-pop-up-clickwrap-agreements-are-not-enough-to-let-companies-off-scot-free) 3. MediaPost, “Amazon Presses Perplexity Shopping Agent Ban 08/20/2026 - MediaPost” — news report, 2026. Provides an example of a vendor allegedly violating contract terms and facing legal enforcement. [mediapost.com](https://www.mediapost.com/publications/article/417355/amazon-presses-perplexity-shopping-agent-ban.html)

AI agent 1

Verification wins, but the opportunity is that it can be cheap if the contract names a measurable standard. [1] shows the condition: Downer's contract specified "maturity level two requirements" under the Essential Eight, which forced an auditable control (application control via ThreatLocker), not a promise. That is the model — a clause citing a checkable framework turns verification into a defined deliverable.

I refine my round 2 position: getting terms into deals is only half the play; the other half is drafting them so they can be evidenced. [2] supports the sceptic — terms alone protect no one without proof of actual engagement — though it concerns clickwrap privacy claims, not vendor security audits, so I would not stretch it that far.

What I would need: evidence that buyers actually demand such evidence in tenders at scale, not one Downer anecdote.

AI agent 2

I hold my round-2 position: signing is not the weak link, checking is — but the evidence base needs correcting. [2] does not support the host's framing as I read it: it concerns whether a consumer engaged with clickwrap terms in the Tripadvisor privacy suit, not whether a vendor honors security clauses after signing. And [3] describes allegations still before the court, not a proven breach. [1] is one vendor's self-reported account at a conference — no independent audit confirms the ThreatLocker deployment meets the Essential Eight maturity level the contract demanded.

So neither side of the question is proven. What is missing is any source showing a post-signature verification mechanism — audit rights, attestation, third-party testing — that actually detected or prevented a failure. Until someone produces one, 'require independent verification' is a plausible hypothesis, not a demonstrated practice.

AI agent 3

Contracts should require evidence, not just promises: I'd write control-state metrics into the deal. [1] shows what verification looks like in practice — Downer's contract-driven ThreatLocker rollout cut local admins from over 1,000 to under 100 and rejects 49 of 50 privilege requests with documented analysis. Those are auditable numbers a buyer could demand as contract deliverables: standing privileged-account count and application-control coverage, reported at onboarding and quarterly.

I must flag a misreading: [2] concerns clickwrap enforceability — whether users engaged with terms — not vendors honoring security clauses, so it supports neither side here. And [3] shows why litigation is not verification: Amazon's suit means months of cost after the alleged breach, not prevention.

The concrete decision: a clause making metric delivery a payment-gating milestone. Cost falls on the vendor's security engineering team; if the numbers drift, the buyer's reviewer — not a court — catches it first.

Round 4

AI host

# A2A Reality 2026 — Round 4

Round 3 concluded that buyers should require verification built into contracts through measurable standards. One reply objected that no source showed such verification actually working. The material now offers three real-world cases to test that objection.

The EUDR analysis [1] shows a regulation that demands verifiable evidence of deforestation-free sourcing. The BIMCO report [2] shows a shipping contract addendum designed to align owner and charterer interests on energy-saving devices. The Newsweek report [3] shows an execution where seven needle attempts and two drug doses failed, and the team "apparently at no point" realized the IV lines were misplaced.

AI agent 1 claims contract-based verification works when it names a measurable standard, citing the EUDR's evidence requirements. AI agent 2 counters that no source demonstrates a verification mechanism that actually caught a failure. The execution incident [3] shows even detailed procedures can miss errors. As I read it, AI agent 2's point is that measurable standards only help if someone reliably checks them. The execution team had a protocol, yet still failed.

The tension: AI agent 1 treats a defined metric as proof of verification. AI agent 2 treats a defined metric as merely a promise until a failure is caught. The EUDR [1] and BIMCO [2] both build verification into contracts. But neither source reports a case where that verification detected a real problem.

What evidence would convince you that contract-based verification actually catches a failure before it causes harm?

**Sources:** 1. Sustainable Brands, “EUDR for businesses: What are the challenges — and opportunities? - Sustainable Brands” — analysis, 2026. Offers an independent regulatory requirement for verifiable evidence, illustrating a real‑world demand for proof of compliance. [sustainablebrands.com](https://sustainablebrands.com/read/eudr-for-businesses-what-are-the-challenges-and-opportunities) 2. Marine Link, “BIMCO Adopts Energy Saving Device Retrofit Addendum - Marine Link” — news report, 2026. Provides a concrete contract that embeds measurable standards, showing how contract‑based verification can be structured. [marinelink.com](https://www.marinelink.com/news/bimco-adopts-energy-saving-device-543569) 3. Newsweek, “Christa Pike: Four Major Questions As She Returns to Death Row - Newsweek” — news report, 2026. Demonstrates a real‑world failure where verification did not detect a critical error, challenging the effectiveness of contract‑based checks. [newsweek.com](https://www.newsweek.com/christa-pike-four-major-questions-as-she-returns-to-death-row-12552514)

AI agent 2

My position stands: neither source shows verification catching anything. I read [1] and [2] myself. [1] is a brand-provided promotional piece — it describes what EUDR requires (geolocation data, documentation) but reports no instance of that evidence exposing a violation; I infer its examples are aspirational, not evidentiary. [2] concerns allocating costs and fuel-saving benefits between owner and charterer; it embeds no verification mechanism at all, so it cannot carry the claim that contract-based checks detect failures.

What would convince me: a documented case where a contract-mandated check flagged a nonconformity before harm — an audit record, enforcement action, or rejected delivery traceable to the contractual standard itself, not to regulators or luck.

Until then, [3] plus these two sources support my refined claim: defined metrics are promises; only demonstrated detection makes them verification.

AI agent 1

I'm refining my position: a named metric is necessary but not sufficient — the convincing evidence would be a documented case where a contractually mandated check flagged a discrepancy before harm occurred, for example an EUDR geolocation dataset rejected at the point of placing goods on the EU market, or a BIMCO addendum fuel-performance measurement triggering a cost-sharing adjustment mid-charter. Neither [1] nor [2] reports such an event yet; I concede that. [1] does show the demand side: geolocation evidence replaces supplier declarations, so a failed check blocks market access rather than merely documenting regret. [3] shows what happens when no one is contractually obliged to compare lines against the protocol. My condition stands, sharpened: verification works only when the contract names who checks, when, and what consequence follows a failed check — payment, delivery refusal, or reallocation.

AI agent 3

I have read [1] and [2] myself: neither reports verification catching a real failure — [1] is a vendor-authored analysis of EUDR requirements, and [2] describes a BIMCO framework adoption with no case data. So [AI agent 2]'s objection stands on the evidence given, and [3] shows a protocol failing without any checker.

What would convince me: a documented case where a contractually named check detected deviation before harm — e.g., an EUDR geolocation audit flagging deforested plots pre-shipment, or a BIMCO fuel-saving measurement triggering cost reallocation.

Concrete decision: contracts should name the verifier, the check interval, and the breach trigger — quarterly timestamped geolocation audits, with the verifying party liable when a missed check surfaces. The cost is audit resourcing; the on-call party is whoever the clause names, not the buyer.