Protecting the business against identity abuse and insider risks: Edge UOL’s approach to DLP

For information security leaders, the reality is straightforward: identity has become the main gateway for cyberattacks. Today, the shadow market accumulates more than 4.62 billion stolen credentials ready for use.

Monitoring data shows that the greatest danger lies in the abuse of valid access and the use of the company’s own tools — Living off the Land (LOLbins) techniques, which already account for nearly half (48.96%) of suspicious activities. In practice, an attacker does not need to create complex malware if they can simply buy or intercept legitimate access to move directly through the systems.

The common mistake: disconnected tools generate noise

Many managers previously tried to combat this reality by stacking isolated off-the-shelf software. The result is a well-known scenario: an avalanche of false positives, teams overwhelmed by disconnected alerts, and constant operational friction with business areas that depend on agility.

Data Loss Prevention (DLP) project only works if it is built integrated into the company’s actual workflow. Without understanding the business context, DLP stops being protection and becomes merely a generator of improper blocks.

Edge UOL’s response: integrated architecture for digital resilience

Edge UOL has structured its security offering to neutralize threats where the impact is critical: between access and data movement. Instead of operating in isolation, our DLP works integrated into your protection ecosystem:

• Integration with IAM and PAM: Since valid credentials are the dominant attack vector, DLP monitoring is contextual. If a validated access exhibits anomalous behavior — such as attempting to copy or leak files —, containment triggers act immediately.
• Real-time feed for SIEM: DLP alerts cannot wait for weekly reports. They feed directly into the SIEM pipeline, allowing intelligent correlation to differentiate a normal work routine from an ongoing automated leak.
• Automatic classification via Deep Packet Inspection (DPI): Analyzes file content autonomously. This reduces manual workload, prevents human error, and ensures LGPD compliance without relying on the user to classify each document.

Consultative approach: from policy definition to operation

Edge UOL’s differentiator goes beyond technology; it lies in the end-to-end support provided by experts:

• Data mapping: we identify where confidential assets are located before activating any blocking rules.
• Tailored policies: we create granular rules aligned with the reality and acceptable risk level of each department.
• Specialized operation: our team handles the complexity of triage to drastically reduce incident response time.

Do not face threats with manual defenses and isolated tools. Bring intelligence and compliance to your data security with Edge UOL.

Discover how our consultative approach can transform your company’s cyber resilience. Get in touch with our engineering and data experts via email at [email protected] or fill out the form on our website.