Drive efficiency into threat management initiatives through Information Management Software
The Challenges
- Data is critical to understanding your clients, improving business performance and seizing new opportunities. But harnessing the value of a steadily increasing volume of complex data requires tools and processes that simplifies access, management and analysis without compromising security.
- Thousands of websites, programs, and IT infrastructures are attacked everyday resulting in enterprise data and intellectual property loss.
Our Solution
As a strategy to ensure data security, Predict360 is an integrated Risk and Information Security software built on cognitive technology that allows pattern recognition and machine learning techniques that enable organizations to detect, analyze and respond to targeted attacks and advanced threats before high-value data and intellectual property is stolen.
Predict360 harmonizes multiple information security frameworks to combine top-down risk modeling for enterprise domains and regulatory audit compliance (
Operational Risk Management) with bottom-up controls automation for closed-loop threats, vulnerability, and
Incident Management Software remediation (Security Risk Management).
Key Features
Predict360 is an integrated Risk and Information Security software which uses big data approach as a competitive differentiator to prioritize information security risk.
- Bring together data from multiple, disparate silos across your enterprise to improve workflow efficiency and help ensure the consistency, accuracy and protection of mission-critical data while driving down costs.
- Vertically integrates all modules which allow organizations to manage their information risk management compliance programs based on federal and state regulations through a single platform Captures the requirements you need to revisit and provides assistance in mapping the changes to our documentation and internal controls.
- Simplify and automate database administration, development and monitoring tasks to increase productivity and achieve optimal database performance.
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