Value-conscious enterprise IT and Security
teams in charge of
Giggso is a AI Side Car engine that intelligently reduces load and associated costs from SIEM, SOAR, AIOps tools. Giggo, as a AI Side car engine, ingests, enriches, adds context to raw data thereby allowing only high quality upstream information to SIEM, SOAR and ITOps tools. Giggso ingests, analyzes, aggregates, and enriches monitoring data (including but not limited to messages, emails, traces, alerts, signals, incidents, logs, transactions, and metrics) from multiple components of the IT Operations, Security Operations, & DevOps environment (spanning networks, infrastructure, cloud instances, storage, and 3rd Party applications, tools, and platforms). Giggso’s SmartAPI minimizes incident volumes by filtering out the noise through deduplication and removing redundancies. It provides context to the filtered data, identifies patterns/trends, and then routes normalized and labelled information through APIs Giggso’s Smart API allows both rules-based logical grouping of contextual data for monitoring and managing operations and compliance. This data can be shared across enterprise teams and channels, collaboratively, to intuitively fix problems. Giggso’s respoitory can be integrated with critical information systems such as configuration management databases (CMDBs), asset management databases, and discovery systems for bi-directional task management and execution of automation or on/off control commands provided from the software platform. It can trigger automated call-to-action for faster resolution of issues through smart virtual agents or collaboration with human agents. The ingested big data on the Giggso platform is securely stored and maintained in the cloud or on-prem. The data can be viewed in near real-time, downloaded and analyzed through the software platform or via API access from any Bot/UI or apps. Giggso as a AI side car engine and a platform offers a slew of capabilities that be flexibly used to address various Security, IT Operations and ML Ops use cases. Enterprise-Grade & Customizable Cloud-Ready (On-Premise, Hybrid, and Public) Manages Bi-Directional Tasks Supports Enterprise Collaborative Engagement Captures Crowd-Sourced Knowledge Facilitates On-Demand Knowledge Sharing Cross-Platform, Omnichannel Search-enabled Provides near Real-time Data, Information, and Analytics Facilitates Direct Integration into your Existing Systems Has User-friendly Graphical Interface for Seamless Navigation Supports Use of Native Language Commands through Bots. Simplified, Chat-based Workflows, Response Management, and Approvals Offers Enterprise-grade Security with Multi-layered Encryption Aggregates AI-driven Intelligence such as metric/log monitoring, anomaly detection, and triaging events. find Giggso to be a welcome addition to their tech stack. If you are spending too much on complex OEM solutions and not deriving enough value, Giggso can help you achieve the best of both worlds. Giggso addresses various use cases in Security Monitoring & Ops, IT Ops, DevOps and ML ops. Each of these solutions are geared to reduce the load (and associated costs) on expensive off-the shelf OEM solutions for value conscious IT teams. 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. Reduce Load
On Security & IT Ops Tools One step ahead
How does Giggso work?
Analyzes & Aggregates all the Monitoring Data
Filters Noise & Provides Context
Facilitates Omni-Channel Sharing
Enables Bi-Directional Task Management and Automation
Provides Access to Near Real-Time Data
Capabilities
Key Benefits of using Giggso
Key benefits
For whom?
Elevate agility and drive down
costs in IT & Sec Ops Solutions
Reduces SIEM Tools Consumption by up to 50%
Customer Use Case:
Schedule a demo We are here to answer any
question you may have. Resolve problems early and faster
Customer Use Case:
Schedule a demo We are here to answer any
question you may have. Make your data work faster
Customer Use Case:
Schedule a demo We are here to answer any
question you may have.