External transferRestricted client archive
96%Before tuning1,284 alerts
After tuning11 priority alerts
Policy violationSource code to personal drive
91%Anomalous accessDormant identity · new export
87%DLP Strategy & Tuning
From a fog of alerts to a few that matter.
Expert review and tuning of your existing data-loss-prevention tooling, cutting the false-positive noise that exhausts a team until the real signal is the one they miss.
Alert fatigue
Most DLP fails not by missing threats—but by drowning them.
A tool that cries wolf is worse than none. We teach it to stay silent until it matters.
An untuned system generates such a volume of false positives that the team responsible learns, out of sheer exhaustion, to ignore it, and the one genuine alert, when it comes, arrives in a fog of noise and is missed. The tool is working; the defence is not. The problem is not capability but calibration.
This advisory engagement reviews and tunes the tooling a client already owns, cutting the false-positive noise and focusing alerts on what genuinely matters. We do not sell a replacement product, we make the investment already made finally work. It is among the highest-return engagements available, because it converts an ignored system into a trusted one.
The cost of noise
Every false positive teaches the team to trust the system less.
Volume is not coverage. When alert handling becomes a repetitive dismissal exercise, operator attention is consumed while genuine exfiltration receives no more weight than routine work.
What the engagement includes
Keep the tooling. Change what it teaches the team to notice.
The work combines quantitative tuning with human review of the workflows, data, and exceptions behind the alert stream.
Noise reduction
Cutting the false positives that train a team to ignore their own tools.
Focused alerting
Tuning toward real exfiltration, genuine violations, and anomalous access.
Policy refinement
Rules that reflect how the organisation actually works, not a generic template.
Investment, rescued
Making the tooling already owned finally deliver what it promised.
Policy refinement
A generic rule sees an event. A tuned rule understands the context.
Data sensitivity, destination, user role, workflow, behavior, and legitimate exceptions are combined so the control reflects how the organisation actually operates.
DataWhat is moving and how sensitive it isContextWho, where, why, and whether it is expectedConsequenceWhat deserves attention now
Data classRestrictedDestinationPersonal storageBehaviorFirst observed
Calibration process
Tuning is evidence work, not threshold guessing.
Each policy change is grounded in sampled events, replayed against evidence, validated with owners, and documented so future tuning remains coherent.
Measure
Establish volume, disposition, handling time, and missed context.
Sample
Read the alerts and workflows behind the aggregate numbers.
Calibrate
Tune policies to actual data, behavior, and consequence.
Validate
Replay evidence and confirm that true signal survives.
Transfer
Leave the team with rules, rationale, and a tuning cadence.
What remains
A smaller queue with enough context to act.
The final alert surface is intentionally legible: priority, reason, affected information, evidence, and the next decision are available without opening six other tools.
Critical · external transferRestricted client archiveUnapproved destination · first observed
InvestigateHigh · policy violationSource code to personal driveEngineering role · 2.1 GB
Owner assignedHigh · anomalous accessDormant identity initiated exportIdentity restored after 143 days
ReviewEngagement output
A tuned control system—and the rationale to keep it useful.
The team receives calibrated policies, validation evidence, exception logic, operating guidance, and a prioritised backlog for anything that cannot be corrected during the engagement.
Discuss your DLP environmentAlert reduction73%Priority precision89%Policies validated24
False-positive patterns documentedCompletePolicy set replayed against evidencePassedOperating cadence transferredOwner ready
High-return engagement
Make the tooling you already own finally work.
Turn an ignored system into a trusted control.