Is your DLP strategy ready for AI, insider risk and modern data movement?
Join Barrier Networks and Fortinet for an exclusive in-person session exploring how organisations can move beyond traditional Data Loss Prevention and build a practical, risk-led approach to protecting sensitive data across endpoints, SaaS applications and GenAI.
DLP has changed. Has your approach changed with it?
Sensitive data no longer stays inside predictable corporate boundaries. Employees work remotely, move information between cloud services, use personal and corporate applications, and increasingly interact with GenAI tools as part of everyday business.
Data is moving everywhere
Intellectual property, customer information, source code, financial records and strategic data move between endpoints, browsers, cloud storage, SaaS applications and collaboration tools.
GenAI has created a new egress channel
Organisations need to enable productive AI adoption without losing visibility of what information employees are uploading, pasting or sharing with sanctioned and unsanctioned services.
Not every insider incident is malicious
A departing employee taking sensitive files matters — but so does an employee making an innocent mistake. Effective DLP needs the context to distinguish risk and respond appropriately.
See FortiDLP in action
FortiDLP brings Data Loss Prevention, Insider Risk Management, SaaS and GenAI data protection and risk-informed user education together in a modern endpoint-focused platform — helping security teams understand data behaviour before applying the controls that matter most.
Gain visibility from day one
Understand how employees and endpoints interact with business data and identify potentially risky movement without waiting for an exhaustive policy programme to be built first.
Understand data origin and movement
Add context to sensitive information by understanding where data originated and how it has moved or changed — not simply what a file looks like at the point it leaves.
Control SaaS and Shadow AI risk
Discover sanctioned and unsanctioned SaaS and GenAI use, understand business data flowing into those services and introduce targeted controls around risky behaviour.
Detect behaviour, not just policy matches
Combine data activity with user and endpoint context to identify abnormal or higher-risk patterns that may indicate accidental loss or intentional insider activity.
Coach users at the point of risk
Use contextual, real-time prompts to explain appropriate data handling and give employees the opportunity to make the right decision without defaulting to blanket restrictions.
Investigate with richer evidence
Give security teams a sequenced view of relevant user, data and endpoint activity to help accelerate investigation and determine what actually happened.
“We already have Microsoft Purview. Why do we need another DLP conversation?”
It is one of the most common questions we hear — and a sensible one. The answer starts with understanding what your organisation needs DLP to achieve, not simply which licences you already own.
The question isn't whether you have DLP. It's whether you have the visibility and control you need.
Microsoft Purview can be a strong option for organisations heavily invested in Microsoft 365, particularly where information protection, sensitivity labels and Microsoft workloads are central to the data security strategy.
But organisations evaluating a broader DLP and insider-risk programme should also ask:
- Can we quickly see how sensitive data is actually moving before building and tuning extensive controls?
- Can we understand risky user behaviour in context, rather than looking only at individual policy events?
- Can we understand the origin and journey of sensitive information as it moves between applications and services?
- Do we have clear visibility into sanctioned and unsanctioned SaaS and GenAI usage?
- Can we coach employees in real time rather than choosing only between allowing and blocking an action?
- Do investigators have the endpoint, user and data context needed to understand what happened before, during and after an incident?
Move from a DLP tool to a data protection programme
This is not simply a product presentation. Barrier and Fortinet will explore how organisations can use visibility, risk and user context to build a more effective approach to data protection.
AI Visibility, Data Protection & Control
What will I learn?
Welcome & Introductions
Fortinet & Barrier Networks
- The rise of AI in the workplace
- Why organisations are concerned about visibility and data protection
- Objectives for the day
AI is Already Inside Your Network
Fortinet
- AI adoption trends
- Sanctioned vs unsanctioned AI usage
- Understanding AI activity within your environment
- Live demonstration of FortiGate AI visibility capabilities
Real-World Data Protection Challenges
Barrier Networks
Use Case 1: Protecting sensitive data in AI platforms
Use Case 2: Preventing accidental or deliberate data loss
- Common customer challenges
- Compliance and governance considerations
- Lessons learned from customer engagements
Coffee Break
Refreshments and an opportunity to continue the conversation with the Barrier Networks and Fortinet teams.
FortiDLP Live Demonstration
Fortinet
- Data discovery
- User activity monitoring
- Policy enforcement
- Preventing unauthorised uploads and downloads
- Incident investigation
From Visibility to Protection
Fortinet & Barrier Networks
- How FortiGate and FortiDLP complement each other
- Practical deployment considerations
- Open discussion and Q&A
FortiGate Fast Track Certification Workshop
Fortinet
- Hands-on enablement session
- FortiGate Fast Track completion
- Technical certification
The afternoon moves from discussion into practical enablement, giving attendees the opportunity to work directly with Fortinet technology as part of the FortiGate Fast Track session.
Built for organisations serious about protecting sensitive data
The session is particularly relevant to organisations reviewing their DLP programme, concerned about insider risk, introducing GenAI controls or questioning whether their existing data-protection technology gives them sufficient visibility and context.
See what modern DLP looks like beyond the policy checkbox.
Join Barrier Networks and Fortinet at the Fortinet offices on Tuesday 20th October. Complete the registration form below and we'll confirm your place by email.