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Your DLP queue wasn’t meantto be endless
DLP investigation and insider risk management, inside your MDR. Daylight brings identity, device, behavioral, and business context to investigation and response.
One DLP alert only tells you so much
Too many alerts. Too little context. And more data moving beyond traditional DLP’s view.
DLP can tell you when a policy is triggered, but not whether the activity is legitimate, unusual, or a real threat. And as data moves through AI tools and other channels, more activity falls outside what traditional DLP was built to see.
Beyond the DLP alert
Every data loss and insider risk signal, investigated and handled through resolution.
Behavioral Data Risk
Detect unusual data activity by comparing behavior against user baselines, roles, and historical patterns.
Cloud Storage & SaaS Transfers
Investigate sensitive data moving to personal storage, unmanaged SaaS, and external shares.
Source Code & IP Exfiltration
Investigate proprietary data moving to personal accounts, AI tools, and other unmanaged destinations.
AI Prompt Monitoring
Detect sensitive data entering AI sessions through prompt-level visibility traditional DLP doesn’t have.
Endpoint & Removable Media
Apply heightened investigation to data activity from departing employees and other elevated-risk users.
Departing Employee Risk
Apply heightened investigation to data activity from departing employees and other elevated-risk users.
From alert to answer
Every DLP signal moves through investigation, verdict, and response—so the work doesn’t end with an alert.
Your DLP signals become Daylight cases
Alerts from your existing DLP tools flow into Daylight the moment they fire, each one opening a case automatically—ready for investigation, with zero manual triage.
Every alert gets the full context
Daylight correlates identity, device, behavioral, and business context to separate routine violations from real threats.
A documented decision
Every investigation ends with a clear verdict, backed by evidence and expert review when needed.
Action taken
When action is warranted, Daylight contains the threat, revokes access, or escalates for active incident handling.
Keep your DLP,
lose the queue
Frequently asked questions
Insider risk management is the process of identifying, investigating, and reducing security risks involving people with authorized access to an organization's systems and data. These risks may involve malicious activity, negligence, or accidental exposure. Effective insider risk management combines user behavior, data activity, access permissions, and business context to distinguish legitimate work from potentially harmful actions.
Data exfiltration is the unauthorized transfer of sensitive information outside an organization's approved environment. It can occur through email, cloud storage, external devices, or AI applications. Detection involves monitoring network connections, data movement, user activity, access patterns, and destination context to identify suspicious transfers and determine whether information has been exposed.
Data loss prevention (DLP) focuses on detecting and preventing unauthorized movement or exposure of sensitive information. Insider risk management takes a broader approach by examining user behavior, intent, and organizational context. DLP identifies potentially risky data activity, while insider risk investigations help determine why it happened and whether it represents a genuine threat.
DLP alerts are investigated by examining the data involved, the user responsible, the destination, and the surrounding activity. Security teams determine whether the event represents legitimate business activity, an accidental policy violation, or intentional data exposure. Effective investigations correlate DLP signals with identity, device, cloud, and business context before determining the appropriate response.
Security teams struggle with DLP alerts because high alert volumes, limited context, and manual investigation workflows make it difficult to distinguish legitimate activity from genuine data exposure. Many alerts require information from multiple systems and business stakeholders. Without efficient investigation processes, teams accumulate backlogs and potentially serious incidents remain unresolved.
Daylight works alongside your existing DLP tools rather than requiring you to replace them. Its AI agents and security engineers investigate DLP alerts by correlating them with additional security telemetry and business context to determine what happened and what action is needed. This helps reduce investigation backlogs and unnecessary escalations while preserving existing DLP investments.
