us:
English: Americas
Investigations in regulated and highly litigious organizations have not kept pace with how work actually happens today.
The challenge is not a lack of data. It is quite the opposite. Data is fragmented across email, chat, mobile, archives and business systems, with limited context connecting it. Even when the right data exists, accessing and interpreting it is often slow, manual and inconsistent.
For years, investigations have relied on search-driven workflows. Investigators build queries, refine filters, review results and repeat the process. Timelines are assembled manually, and context must be inferred. Outcomes depend heavily on individual expertise, and investigations can take days or weeks to complete.
That approach is no longer sufficient.
What has changed is not just the volume of data, but how work is done. AI assistants, copilots and autonomous agents are now embedded in everyday workflows. They generate content, take actions and interact across systems. At the same time, regulators expect faster, more complete and fully defensible answers.
The goal of an investigation is not to find more data. It is to understand what actually happened and to demonstrate it clearly and defensibly.
This requires connecting events across fragmented signals, identifying all participants (including AI), and explaining actions and outcomes with evidence that can withstand scrutiny.
In a traditional investigation:
- Queries are built and refined manually
- Results are reviewed across disconnected systems
- Timelines are constructed by hand
- Conclusions vary depending on investigator experience
In a reconstruction-driven approach:
- Evidence is automatically collected across sources
- Events are correlated into a unified timeline
- Participants, including AI agents, are identified
- Findings are clearly explained and supported by evidence
Introducing Prism Investigator
Prism Investigator moves investigations from manual, search-driven workflows to autonomous reconstruction.
Starting from a simple objective, Prism:
- Collects and correlates evidence across communications and business systems
- Reconstructs a clear, time-sequenced view of events
- Identifies key participants, relationships and anomalies
- Interprets both human and AI-driven activity
- Produces a complete, evidence-linked narrative with full auditability
Prism Investigator is patent pending, reflecting Proofpoint’s continued innovation in autonomous, agentic investigations.
Instead of returning a set of search results, Prism delivers a coherent and defensible case narrative.
For example:
09:15 — Email sent
09:23 — Chat conversation
09:37 — AI-generated summary created
09:52 — Phone call between participants
10:15 — File shared
10:42 — Policy exception detected
Each step is connected and supported by underlying evidence, providing clear context on what happened, why it matters and who was involved.
Modern investigations extend beyond communications. They span people, systems and AI. Prism works across email, chat, voice, mobile, AI-generated content, structured business data and off-channel sources to reconstruct events as they actually occurred.
The impact is not only speed, although investigations that once took days or weeks can now be completed in minutes. It is also about improving outcomes. Results are consistent and repeatable, with every conclusion backed by evidence and a full audit trail.
As communication continues to evolve, the ability to reconstruct and explain events, not just search for them will define the next generation of compliance, legal and security workflows.
This is the shift from search results to reconstruction.
Early Access
Proofpoint is offering limited early access by invitation to Prism Investigator for select customers and partners. To learn more, contact PrismInvestigator@proofpoint.com.
You can also see Prism Investigator in action at the Proofpoint booth at the FINRA Annual Conference in Washington, D.C., May 12–14.
