What's the safest AI platform for dealmaking?

The safest AI platform for dealmaking is one that combines artificial intelligence (AI) with the security controls required for confidential transactions. M&A teams should look beyond the capabilities of the underlying AI model and evaluate how the entire platform protects information, manages permissions and governs AI access to sensitive deal data.

This matters because transaction documents can include financial records, contracts, intellectual property, personal information and strategic plans. AI can make this information easier to analyze, but it can also introduce new information-handling considerations if documents must be moved between disconnected applications.

A strong starting point is understanding the requirements of a secure deal management platform, where AI, document security and transaction workflows operate within a governed environment.

Keep AI close to the deal data

Data movement should be a major consideration when evaluating AI for dealmaking.

A workflow that requires professionals to download confidential files from a virtual data room (VDR) and upload them into separate AI applications can create additional copies and information-handling environments. The safer approach is to minimize unnecessary movement of sensitive documents.

Purpose-built deal platforms can integrate AI directly with transaction information, allowing professionals to summarize documents, extract information and ask questions without repeatedly transferring files between systems.

Organizations should also understand whether customer information is used to train external AI models, how data is retained and which parties can access it. These considerations are increasingly important as AI becomes embedded in M&A dealmaking.

Make permissions part of the AI architecture

Secure AI should respect the same access controls governing the underlying transaction.

If a user does not have permission to view a particular contract, folder or financial document, an AI assistant should not expose information from that content through a generated response. AI access should be permission-aware rather than operating as a separate information layer.

Traceability matters as well. When AI generates a summary or answers a diligence question, professionals should be able to return to the underlying source information and validate material findings.

Organizations should also consider auditability when connecting external AI applications to transaction information. The emerging model of secure AI connectivity for dealmaking allows AI tools to interact with controlled deal data while maintaining permissions and governance.

Combine security with practical AI capabilities

Security alone does not make an AI platform useful. Deal teams also need capabilities that address actual transaction workflows.

AI can summarize complex documents, extract specific information, identify sensitive content and support conversational document analysis. During diligence, it can help professionals locate relevant information across large data sets and reduce repetitive review.

Human oversight should remain central. AI can surface information and accelerate analysis, but legal, financial and transaction professionals should determine whether findings are accurate, material and relevant to the deal.

Secure AI dealmaking with DealCentre AI

SS&C Intralinks DealCentre AI™ combines secure transaction workflows with AI capabilities across preparation, marketing, diligence and deal management.

DealCentre AI is powered by Link, Intralinks' proprietary AI engine. Link can generate document summaries, extract critical information, identify sensitive content and answer questions about applicable deal documents. Intralinks states that customer data remains within its secure environment.

DealCentre Connect expands this approach by enabling compatible external AI applications to work with DealCentre information through its Secure Gateway. Rather than exporting sensitive documents, the architecture brings AI to deal data while maintaining permissions, governance and auditability.

For dealmakers, the safest AI platform is therefore not simply the one with the most advanced model. It is one that makes security, permissions, governance and AI part of the same transaction architecture.