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Data Loss Prevention

Data Loss Prevention in Australia

Most data does not leave in an attack. It leaves in an email to the wrong address, a file copied to a USB, or an upload into an AI tool. CyberPulse designs, deploys and tunes the controls that catch it.

Trusted by leading Australian organisations

CyberPulse clients include Minter Ellison, Veolia, Sydney Roosters, Meshed and Nexigen Digital.

Minter Ellison - CyberPulse clientVeolia - CyberPulse clientSydney Roosters - CyberPulse clientMeshed - CyberPulse clientNexigen Digital - CyberPulse client
Voted

Security Partner of the Year 2026

Awarded by techpartner.news Impact Awards

What DLP covers

Four control points, tuned to your data and your people, not switched on at defaults.

Email DLP

Inspect outbound mail for sensitive content, then stop, quarantine or encrypt what should not leave. Misdirected email is a commonly reported cause of breaches in Australia.

Endpoint DLP

Control copying to USB, personal cloud sync and local transfers on managed devices, so data cannot walk out on hardware while staff keep working normally.

Web and SaaS

Inspect uploads to web apps, unsanctioned SaaS and AI assistants, so your teams keep the tools they need without sensitive data going with them.

Data at rest

Find and classify sensitive data where it is stored, through discovery and classification, so rules act on real data rather than broad patterns.

Find out what is leaving today

Book a DLP readiness assessment. We run discovery across email, endpoints and cloud, show you what is actually moving, and hand you a policy set worth enforcing.

How we deliver DLP

1

Discover

We find sensitive data across email, endpoints, cloud and SaaS, and map where it currently flows.

2

Classify

We label data by type and sensitivity, so policies act on what the data is rather than a guess.

3

Design policy

We write the rules with your risk, legal and business owners, so controls match how people actually work.

4

Monitor first

We run in monitor mode and tune out false positives before anything blocks a user.

5

Enforce and review

We move to blocking where the evidence supports it, then review policies as the business changes.

Why it matters

Most loss is accidental

Human error sits alongside malicious attack as a leading cause of breaches reported under the Notifiable Data Breaches scheme. A misdirected email needs no attacker, and DLP is aimed squarely at that half of the problem.

Data is the target

Most breaches are ultimately about the data. In Australia, malicious or criminal attack was the largest source of notifiable breaches, at 69 per cent (OAIC, 2024).

AI is a new exit

Staff paste customer records and code into assistants nobody approved. IBM found shadow AI added around US$670,000 to the average breach in 2025. DLP lets you allow the tools and still control the data.

Badly tuned DLP gets switched off

The common failure is not missing technology. It is a rule set so noisy the business demands it be disabled. Tuning is the work, and it is the part most rollouts skip.

Ideal for

  • Organisations moving to cloud and SaaS faster than their controls
  • Teams that bought DLP and never got past monitor mode
  • Regulated sectors handling personal, health or financial data
  • Anyone who has had a misdirected email incident and does not want a second

Why CyberPulse for DLP

Tuning comes first

Most DLP failures are policy failures. We run monitor mode first and cut the false positives, so the controls survive contact with the business.

Classification first

We find and label your sensitive data before writing rules, so policies act on real data types instead of broad, noisy patterns.

Privacy Act aligned

Policies mapped to the Privacy Act, the Notifiable Data Breaches scheme and the compliance frameworks you already report against.

Our track record in numbers

350+
Satisfied clients
500+
Certifications achieved
400+
Security assessments conducted

How you can run it

Run it your way, with the option to add round-the-clock cover.

Deploy and configure

We design the policy set, deploy and tune it, and your team runs it day to day.

Managed monitoring

Want 24x7 cover? Add managed detection and response through our MDR service, so DLP alerts are triaged rather than ignored.

What They Say About Us

The managed service model delivers that, while freeing my team from the bulk of compliance coordination effort and lifting the quality of both controls and supporting evidence. The outcome is a programme with the capacity to mature further and to take on new certification frameworks proactively, ahead of client and regulatory triggers.
Sunil SaaleChief Information Security Officer, MinterEllison
What stands out is the depth of expertise. CyberPulse brings real command of the standards and the threat landscape, and applies it with judgement rather than box-ticking. Year on year they strengthen our security and compliance maturity and give leadership confidence that risk is genuinely understood, not just documented.
Raghu GandhyChief Information Security Officer, Veolia
CyberPulse gave us clarity we didn't have before, not just on where we stood but a practical path forward. The roadmap they delivered has become the foundation of how we think about security investment.
Jimmy O'ReganHead of IT, Major NRL Club & Hospitality Group
Their guidance was practical, clear, and always grounded in what actually mattered for our business. They didn't just help us tick boxes; they helped us build a security posture we're genuinely proud of. If you're serious about enterprise-grade security, I can't recommend CyberPulse highly enough.
Aaron TraylenCo-Founder, Utopia Digital
CyberPulse didn't just help us build an ISMS; they helped us build a more resilient business. Their practical approach ensured that every control we implemented serves a real purpose and has a positive, tangible impact on our daily operations.
Daniel FoenanderDirector of Operations, Nexigen Digital

Frequently asked questions

Is DLP a legal requirement in Australia?

No law names DLP as a required product. Australian Privacy Principle 11 requires reasonable steps to protect personal information, and APRA CPS 234 requires controls proportionate to the threat. DLP is one of the common ways organisations demonstrate those steps for data in motion.

What are the three types of data loss prevention?

DLP is usually described by the state of the data it protects: data in use on an endpoint, data in motion across email, web and network, and data at rest in storage, cloud and SaaS. Most programmes need all three.

What is the difference between DLP and DSPM?

DSPM tells you where sensitive data is and how exposed it is. DLP stops that data leaving through channels like email, web, SaaS and AI tools. They work together, and we deliver both.

What are the most common DLP mistakes?

Enforcing before tuning, writing rules without classifying data first, covering email only while web, SaaS and AI uploads stay open, and treating deployment as the finish line rather than the start.

What is the best way to prevent data loss?

Find and classify the data first, then write policy against real data types, then run in monitor mode until the noise is gone, and only then enforce. Skipping the monitoring period is the most common cause of a failed rollout.

How does CyberPulse deliver DLP?

We deliver it as a solution. We discover and classify your data, design the policy set with your business owners, tune it in monitor mode, then enforce. We support a number of leading DLP platforms and select the one that fits your environment. For ongoing cover we connect alerts to our managed detection and response service.

What is data loss prevention?

Data loss prevention (DLP) is a set of controls that detect and stop sensitive information leaving an organisation, whether through email, a web upload, a SaaS application, an AI assistant or a USB device. It works by identifying what the data is, then applying a policy to what a user or system is trying to do with it.

DLP is often bought as a product and run as a project, which is why so much of it ends up switched off. The technology rarely fails on detection. It fails on tuning: rules written before data is classified raise alerts nobody can action, the business pushes back, and enforcement never happens. As staff feed data into AI assistants, the same controls now matter for AI security too.

CyberPulse delivers DLP as a solution. We discover and classify your data first, design the policy set with your risk and business owners, run it in monitor mode until the noise is out, and only then enforce. We support a number of leading DLP platforms and select the one that fits your environment, and we map protection to the Privacy Act and your compliance obligations, with ongoing monitoring available through our managed services where you want it.