AI tools are now part of everyday working life, and with that shift has come a challenge many organisations are only just beginning to confront: the data leaving your business through those tools is largely invisible to your existing security controls.
This is not a future problem. It is happening right now.
The Scale of the Challenge
45% of enterprise employees are already using generative AI tools daily. Of those, 77% are copying and pasting data directly into AI chatbots, with more than half of those interactions involving sensitive corporate information, mostly through personal accounts that sit outside your organisation's control entirely.
Generative AI now accounts for 32% of all corporate-to-personal data exfiltration, overtaking USB drives, personal cloud storage, and personal email combined. IBM puts the average breach cost at $4.88 million, with shadow AI incidents adding a further $670,000 on top.
Traditional DLP tools were not built for this. Static rules and perimeter-based thinking cannot protect data that moves through a prompt.
Knowing Your Data: The Starting Point
Protection starts with visibility. Symantec DLP goes well beyond basic content scanning to give organisations a genuinely accurate picture of what is sensitive and where it is.
Exact Data Matching fingerprints structured data at record level, so even a single row from a customer database triggers detection if it appears somewhere it should not. Indexed Document Matching catches partial excerpts of unstructured documents, such as contracts or source code. Optical Character Recognition extends this to the images and screenshots, closing a channel that most text base tools miss entirely
AI Monitoring: Closing the Shadow AI Gap
Symantec's Cloud-Managed DLP Endpoint sits on the device itself, seeing all data activity before it is encrypted or transmitted. On or off the corporate network, the protection travels with the user.
Through Global Application Monitoring, the platform intercepts clipboard activity in real time, blocking sensitive content before it can be pasted into a ChatGPT window, a Slack message, or any other unsanctioned destination. Policies and incident management are handled from a single cloud console, removing the need for on-premises infrastructure and significantly reducing operational overhead.
Agentic AI: The Challenge Most Organisations Have Not Planned For
Employees using AI tools is one problem. Autonomous AI agents accessing and acting on your data without human involvement is another, and it is already here.
These agents operate across Microsoft Copilot, custom enterprise AI environments, and third-party platforms. They move fast, have broad data access, and generate flows that traditional DLP has no visibility into.
Symantec has addressed this directly. Through a partnership with Google Cloud, Symantec DLP is now integrated into Google's Agent Gateway, the network-level enforcement point for all agentic AI traffic. Existing DLP policies extend automatically to every agent data flow, including LLM inference requests and agent-to-agent interactions, with no changes to application code required.
For regulated industries, Symantec's Distributed Detection Service scans content locally within the customer's own infrastructure. Data never crosses the boundary; only metadata reaches the management console. Agentic AI controls, without compromising data residency.
Behavioural Intelligence: Context Is Everything
Two employees downloading the same file look identical to a rule-based system. One is routine. The other is a departing employee at midnight. Traditional DLP cannot tell the difference.
Symantec's Information Centric Analytics (ICA) adds that context. It builds a behavioural baseline for each user and assigns dynamic risk scores when activity deviates, whether that is unusual access hours, high-volume transfers, or data moving toward a personal account. Those scores feed directly into DLP enforcement, so the right response happens automatically, without an analyst needing to manually review every alert.
The Takeaway
The organisations managing data security well right now are not the ones with the most tools. They are the ones with the clearest picture of their data, consistent controls that follow it everywhere, and the intelligence to separate real risk from background noise.
Symantec DLP brings that together in a platform battle-tested across some of the world's most demanding enterprise environments, and with its Google Agent Gateway integration, one of very few solutions with a production-ready answer to agentic AI risk.
If you would like to explore what that could look like for your organisation, we would be glad to start that conversation.
%20on%20G-Cloud%2013%20platform.avif)
