AWS Security Lake

Implementing a Security Lake enhances the ability to identify, analyse, and respond to security threats in real-time, harnessing a holistic view of your data landscape.

Contact a Security Expert

Who we work with

Security Made Simple.

Unified Storage

Provides a unified location for aggregating and examining security-related data, streamlining threat detection and response.

Data Aggregation – A security lake brings together data from various sources into one location, reducing the complexity of managing disparate data sets and providing a holistic view of the security landscape.
Streamlined Analysis – With all relevant data centrally located, analysts can conduct more efficient and effective examinations of security events, leading to quicker identification of threats and anomalies.
Enhanced Threat Detection – Centralisation enables correlation of data across different systems and sources, enhancing the ability to detect complex, multi-faceted threats and facilitating a coordinated response.

Scalability

The scalability of a security lake accommodates the fluctuating volumes of security data, effectively handling growth and contraction as business and security needs evolve.

Cost Efficiency – By scaling up or down based on data volume, a security lake promotes cost efficiency, ensuring resources are used effectively and reducing the risk of under- or over-investment in data storage infrastructure.
Flexible Data Handling – Manage varying amounts of data, efficiently adjusting its capacity to accommodate both current needs and future growth.
Adaptable to Business Changes – Flexibly adapt to changes in business operations, such as expansions, contractions, or shifts in strategy, ensuring continuous and optimised security operations.

Advanced Analytics

Enable advanced analytics, leveraging large-scale data processing capabilities to unearth valuable insights, predict future threats, and enhance security posture.

Insight Discovery – By applying sophisticated analytical methods to large volumes of security data, security lakes can unearth nuanced insights, helping to reveal subtle patterns and detect anomalies.
Predictive Capabilities – Through machine learning and AI, security lakes can forecast potential future threats or vulnerabilities, ultimately enabling rapid prophylactic security measures.
Continual Growth – The insights gained from advanced analytics can be continuously integrated into data-driven decisions, providing constant security posture improvement.

How it works

Step 1

Design

We begin by conducting a deep dive into your existing security environment, understanding the nature of the data you generate, and identifying all data sources and current security protocols. Together, we will then design a bespoke security lake solution that addresses your unique needs, considering crucial elements such as scalability, data protection, security prerequisites, and the level of analytical power you require.

Step 2

Build

In this stage, our team takes on the task of bringing the security lake to life as per the specifications established in the design phase. We set up the necessary infrastructure, put data ingestion and processing protocols in place, and seamlessly integrate the security lake with your existing systems. Rigorous testing procedures are followed to assure the functionality of the security lake and the correct handling of your valuable data.

Step 3

Integrate

Once your security lake is operational, we shift our focus to fine-tuning its performance and enhancing the analytics functionalities to extract maximum value from your security data. Additionally, we train your team on the effective usage of the system, empowering them to leverage the new capabilities fully. We also establish a routine for ongoing monitoring and maintenance to ensure the longevity and optimal operation of your security lake in the years to come.

Benefits of an AWS Security Lake Implementation

Improved detection: By aggregating data from multiple sources into a single repository, a Security Lake enables analytics that detects unusual patterns, allowing for faster and more accurate threat detection.

Streamlined data analysis: Having all relevant security data in a single location enables a far more comprehensive picture of your cyber landscape, empowering more informed decision making.

Real-time response: A Security Lake facilitates real-time monitoring and alerting, allowing your team to respond promptly to identified threats. This immediacy not only helps minimise potential damage, but also lays the foundation for continuous assurance.

We know our numbers

900

Team members

250

Clients

2000

Projects delivered

7

AU/NZ Work Hubs

Get in touch

We’re always keen to start new conversations on using technology to impact people in a positive way.

We pursue technologies that change the way our clients do business in the real world. We bring together emerging technologies with creative design and industry understanding to positively impact how your business works.

Australia: 1300 505 240
New Zealand: 0800 449 290

AWS Security Lake

Implementing a Security Lake enhances the ability to identify, analyse, and respond to security threats in real-time, harnessing a holistic view of your data landscape.

Security Made Simple.

Unified Storage

Data Aggregation – A security lake brings together data from various sources into one location, reducing the complexity of managing disparate data sets and providing a holistic view of the security landscape.

Streamlined Analysis – With all relevant data centrally located, analysts can conduct more efficient and effective examinations of security events, leading to quicker identification of threats and anomalies.

Enhanced Threat Detection – Centralisation enables correlation of data across different systems and sources, enhancing the ability to detect complex, multi-faceted threats and facilitating a coordinated response.

Scalability

Cost Efficiency – By scaling up or down based on data volume, a security lake promotes cost efficiency, ensuring resources are used effectively and reducing the risk of under- or over-investment in data storage infrastructure.

Flexible Data Handling – Manage varying amounts of data, efficiently adjusting its capacity to accommodate both current needs and future growth.

Adaptable to Business Changes – Flexibly adapt to changes in business operations, such as expansions, contractions, or shifts in strategy, ensuring continuous and optimised security operations.

Advanced Analytics

Insight Discovery – By applying sophisticated analytical methods to large volumes of security data, security lakes can unearth nuanced insights, helping to reveal subtle patterns and detect anomalies.

Predictive Capabilities – Through machine learning and AI, security lakes can forecast potential future threats or vulnerabilities, ultimately enabling rapid prophylactic security measures.

Continual Growth – The insights gained from advanced analytics can be continuously integrated into data-driven decisions, providing constant security posture improvement.