Giggso as a AI side care engine reduces load on existing SIEM, ITOps tools and helps turn data into action.
Reduce load on SIEM & SOAR tools consumption by 50%
Reduce noise, detect problems fast and resolve incidents quickly.
Bring data scientists and operations professionals closer to achieve ML objectives.
Giggso offers an extensive array of solutions across:
Mainstream SIEM tools used for security and compliance are expensive to license and maintain. Prominent data-to-anything market players such as Splunk, IBM, and DataDog charge by the data size used by their clients that pile up costs.
The daily ingestion cost range ranges from $4500 per GB (1 GB per day) to $1500 per GB (for 100 GB per day). You can do more with less if Giggso steps into this scene.
Giggso, as a AI Side car engine, is aiming to change this through both functionality and flexibility and offers value conscious IT teams:
Client: Caliber Homes
At Caliber Homes, Giggso is used by IT security teams to reduce load on SIEM tools that are prohibitively expensive. Caliber IT teams needed an intelligent side car that can integrate to multiple systems, ingest data and function as a data repository. Furthermore, Giggso adds a layer of intelligence to filter and send only those alerts and signals to SIEM tools that detect threats.
This way, value conscious IT teams, were able to take a step forward to reduce total cost of security operations and compliance without compromising on security objectives.
Giggso rapidly empowers IT Ops and SREs with a full, real-time view of all digital infrastructure, pinpoint root causes of incidents quickly and take collaborative action to resolve incidents.
Giggso enriches data by adding context to ingested alerts from various data sources to provide actionable insights. Adding context to data such as location, department, business criticality, service relationships, runbooks, code pipelines and escalation processes allows for quicker resolution of incidents.
Giggso, as a AI Side car engine, is aiming to change this through both functionality and flexibility and offers value conscious IT Operations teams:
Client: Midwest financial company
At Midwest financial company, Giggso is used by IT security teams to reduce load on SIEM tools that are prohibitively expensive.
Giggso empowers collaboration and communication between data scientists and operations professionals to help manage production ML (or deep learning) lifecycle
Giggso uses AI to address many dependencies with the data continuously changing, maintaining performance standards of the model, and ensuring governance across life cycle.
Giggso, as a AI Side car engine, is aiming to bring data and code teams:
Client: Midwest financial company
At Midwest financial company, data teams are tasked to incorporate Machine Learning (ML) into each of their IT services and products. Today, Midwest financial company application development cycles involve teams from data sciences, products and IT operations who have to work together to deploy, manage, govern, and secure machine learning and other probabilistic models in production.
Giggso is now being used to deploy, monitor, manage, and govern AI/ML pipeline in one singular place with machine learning operations. Giggso’s MLOps module creates a seamless journey through the lifecycle, getting models into production quickly and effortlessly, providing Midwest financial company with return on their ML investment faster.