Modern collaboration platforms were built to make work faster and easier,
but they’ve also become some of the richest stores of enterprise
information.
Every conversation adds another layer of context that simply didn’t exist
when business communication was fragmented across meetings, emails, and
disconnected documents. Decisions no longer arrive as polished conclusions,
but develop over time through questions, revisions, shared ideas, and
increasingly through interactions with AI, leaving behind a detailed record
of how an organisation thinks, collaborates, and ultimately reaches its
most important conclusions.
However, while extremely beneficial, this new “joined up” way of working
carries implications that many security teams have yet to fully address –
or even notice. Security investment tends to focus on protecting
identities, endpoints, networks, and cloud infrastructure, but the
“conversations” or exchange of data flowing between them pretty much go
ignored. Those conversations now regularly contain intellectual property,
commercial ideas, operational information, and institutional knowledge that
rarely exist anywhere else in quite the same form.
As organisations continue embedding AI assistants, workflow automation, and
third-party integrations into everyday collaboration, protecting the
confidentiality of these exchanges is becoming an architectural
consideration that extends well beyond the messaging platform itself.
The Enterprise’s Most Valuable Intelligence is Now Conversational
When we think of intellectual property, or the information that
organisations value the most, we think of it being stored within secure
databases and carefully managed systems. But now those systems are talking
to each other. A design specification might explain what was built, but the
discussion that led to it often reveals why particular decisions were made,
which alternatives were rejected, what concerns remain unresolved, and
where future opportunities may lie.
In isolation, each exchange is fairly innocuous and routine, but viewed
collectively, they form a remarkably detailed picture of how an
organisation operates. And that picture can be very valuable to would-be
attackers.
Collaboration platforms used to be transient messaging tools – a way for
employees to communicate with one another over a secure channel – but today
they’re more like knowledge repositories that various systems need access
to in order to keep operations moving.
Conversations that might once have disappeared, or at least been forgotten,
after a meeting are now persistent, searchable, and increasingly accessible
to AI assistants that can summarise, retrieve, and connect information
across projects. According to Microsoft’s 2024 Work Trend Index, 75% of
“knowledge workers” already use generative AI at work, while 78% of those
users are bringing their own AI tools into the workplace.
The issue is that as conversational data becomes easier to discover and
reuse, it also becomes a more attractive source of intelligence – and that
invites risk.
Every Integration Expands the Conversation’s Reach
The value of collaboration data starts and ends with the people taking part
in the conversation. Or, at least, it used to. Modern platforms sit at the
centre of a much broader digital ecosystem, connecting project management
tools, customer systems, document repositories, AI assistants, and
countless other business applications. That means information no longer
remains within a single thread or workspace, but moves continuously between
systems, carrying context with it as workflows become more connected and
increasingly automated.
That growing interconnectedness brings enormous benefits, of course, but it
also changes the nature of enterprise risk. A confidential discussion may
be summarised by an AI assistant, referenced in a project update, linked to
supporting documentation, or used to trigger an automated workflow, and
that gives it a very broad footprint.
According to Verizon’s 2025 Data Breach Investigations Report, involvement
from third parties played a role in almost one third (30%) of breaches
globally – a trend that is set to continue in the coming years. As
collaboration platforms become the connective pathways between people,
applications, and AI, understanding how sensitive information moves through
that ecosystem is becoming just as important as protecting the systems
themselves.
Security Strategy Hasn’t Fully Caught Up
Most organisations recognise that collaboration platforms require
governance, but much of that effort is invested in visibility, compliance,
and user behaviour. Those are all important, yet they don’t fully reflect
the role these platforms now play inside the enterprise. If conversations
have become a primary source of commercial knowledge, what matters isn’t
who has access to the information now, but who might be able to infer value
from it a month, a year, or five years from now.
As AI makes it possible to process vast quantities of communication at
speed, even routine exchanges can reveal patterns that would have been
almost impossible to identify manually – who influences decisions? How do
approvals work? What are the executives most focused on? And so on.
The conversation surrounding modern collaboration tools therefore needs to
move from features to architectures. The confidentiality of enterprise
communication can no longer be considered solely at the application layer
when information routinely flows between conversations, files,
integrations, and automated services.
Every point at which that data is decrypted, processed, or shared creates
another opportunity for sensitive information to be exposed, whether
through malicious intent, operational error, or unnecessary access. As
organisations continue redesigning their digital workplaces around
collaboration and AI, the communication layer itself deserves the same
level of architectural scrutiny as the networks, identities, and cloud
services that support it.
*Benjamin Schilz *is CEO of Wire, the European secure collaboration
platform trusted by governments, defence organisations and enterprises
handling highly sensitive communications.
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