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Get Better ROI from SIEM and IT Ops Tools

Giggso as a AI side care engine reduces load on existing SIEM, ITOps tools and helps turn data into action.

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Security Operations & Compliance


Reduce load on SIEM & SOAR tools consumption by 50%

IT Operations


Reduce noise, detect problems fast and resolve incidents quickly.

AI / ML Ops


Bring data scientists and operations professionals closer to achieve ML objectives.

Solutions

Giggso offers an extensive array of solutions across:

Reduces SIEM Tools Consumption by up to 50%

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:

  • Integration to Unlimited Data Sources
  • Unlimited Users
  • Unlimited Data Ingestion
  • Compliment SIEM use cases
  • Execute SOAR tasks and automation
  • Collaborate on Security Orchestration
  • Streamline Your Security Operations Workflow

Customer Use Case:

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.

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Resolve problems early and faster

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:

  • Integration to Unlimited Data Sources
  • Unlimited Users
  • Unlimited Data Ingestion
  • Data enrichment
  • Compliment AIOps tools
  • Compliments DevOps monitoring stack
  • and correlates incidents
  • Detect deployed code errors in code pipeline and avert API failure
  • Collaboration across multiple teams and multiservice incidents
  • Collaborate on Incident resolution
  • Streamline Your IT Ops Workflow

Customer Use Case:

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.

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question you may have.
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Make your data work faster

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:

  • Rapid innovation through robust machine learning lifecycle management
  • Building and automating ML pipelines
  • Easy deployment of high precision data models in any location
  • Effective management of the entire machine learning lifecycle
  • Machine learning resource management system and control

Customer Use Case:

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.

We are here to answer any
question you may have.
Schedule a demo