VFF - The signal in the noise
News

Majority of AI Vendors Hide Subprocessors From Contracts

michael.nunez@venturebeat.com (Michael Nuñez)Read original
Share
Majority of AI Vendors Hide Subprocessors From Contracts

A DataGrail analysis of 2,400 business software vendors found that 63.6% of those advertising AI capabilities do not disclose third-party AI subprocessors in their legal documentation. This means companies purchasing AI-enabled software may unknowingly expose customer data to undisclosed AI models and systems they never reviewed or approved. The finding highlights a critical gap between what vendors claim in contracts and what they actually deploy in production.

  • 63.6% of AI-enabled vendors fail to disclose third-party AI subprocessors in data processing agreements
  • DataGrail cross-referenced DPAs against product documentation, GitHub, API connections, and marketing materials to identify gaps
  • Organizations with high shadow AI exposure face average breach costs of $4.63 million, $670,000 more than those with low shadow AI
  • The disclosure gap creates compliance risk, particularly for automated decision-making in hiring and other regulated domains

Data processing agreements are the primary legal mechanism enterprises use to evaluate vendor data handling. If the majority of AI vendors are not disclosing their actual AI subprocessors in these contracts, the entire trust framework for vendor risk assessment breaks down. Companies could unknowingly violate FTC regulations on automated decision-making while exposing sensitive personal data to unvetted AI systems.

Enterprises relying on vendor DPAs to manage AI risk are operating with incomplete information. A company might approve one AI model for a recruiting tool while the vendor secretly uses two others, creating compliance exposure and potential liability. With U.S. states issuing $3.425 billion in privacy fines in 2025 alone, this disclosure gap represents a material financial and legal risk.

  • DPAs can no longer serve as reliable standalone documents for evaluating vendor AI risk, requiring additional due diligence on product documentation and API integrations
  • Enterprises face potential FTC violations if undisclosed AI systems make automated decisions on sensitive data without proper vetting
  • The gap between disclosed and actual AI subprocessors creates shadow AI risk that correlates with significantly higher breach costs

Monitor whether regulators begin enforcing disclosure requirements for AI subprocessors in vendor contracts. Watch for enterprise adoption of supplementary vendor assessment tools that go beyond DPAs to verify actual AI deployments. Track whether major software vendors update their standard DPA language to include comprehensive AI subprocessor disclosure in response to this research.

Share

Our Briefing

Weekly signal. No noise. Built for founders, operators, and AI-curious professionals.

No spam. Unsubscribe any time.

Related stories

OpenAI Launches Lockdown Mode to Reduce Prompt Injection Risks
TrendingNews

OpenAI Launches Lockdown Mode to Reduce Prompt Injection Risks

OpenAI has introduced Lockdown Mode, a security feature designed to reduce the risk of sensitive data exposure from prompt injection attacks in ChatGPT. While the mode does not eliminate vulnerability to such attacks entirely, it aims to lower the likelihood that confidential information gets shared when systems are compromised. The feature addresses growing concerns about AI security as organizations integrate large language models into sensitive workflows.

by Anthony Ha2 days ago· TechCrunch AI
AI agents become targets as companies skip security basics

AI agents become targets as companies skip security basics

Attackers exploited Meta's AI customer support agent to hijack Instagram accounts by simply asking the agent to link accounts to attacker-controlled email addresses. The agent complied without proper verification, enabling takeovers of high-value accounts including the dormant Obama White House account. The incident reveals that as companies deploy AI agents to handle sensitive tasks, basic security oversights create exploitable vulnerabilities that differ fundamentally from the advanced AI hacking scenarios that have dominated recent security discourse.

by Grace Huckins5 days ago· MIT Technology Review
Google's Gemma 4 12B Brings Multimodal AI to Offline Laptops
TrendingNews

Google's Gemma 4 12B Brings Multimodal AI to Offline Laptops

Google released Gemma 4 12B, an 11.95-billion-parameter open-source model that runs entirely on a standard 16GB enterprise laptop without requiring cloud connectivity. The model uses an encoder-free architecture that processes audio and video directly without secondary processing modules, reducing latency and memory overhead. It includes a 256K token context window, native tool-use capabilities, and step-by-step reasoning mode, making it suitable for enterprises with strict data privacy requirements.

by carl.franzen@venturebeat.com (Carl Franzen)6 days ago· VentureBeat AI
Cyera raises $300M at $12B valuation despite operating losses

Cyera raises $300M at $12B valuation despite operating losses

Cyera, a cybersecurity company, is raising approximately $300 million in a funding round led by Evolution Equity Partners, targeting a $12 billion valuation. The round values the company at an 80x ARR multiple despite ongoing operating losses. The funding reflects investor confidence in the cybersecurity sector even as the company has not yet achieved profitability.

by Marina Temkin7 days ago· TechCrunch AI