Orchestrate a safer world with IoT and data convergence
Digital transformation has resulted in a wealth of data from devices of all types, dramatically increasing the potential for using this information in ways to deliver exceptional experiences, improve business operations, and even protect people, property and life processes.
Imagine being able to combine data from various apps and devices with data from physical systems, such as door alarms and video cameras, to identify ways to manage patient flow in a busy emergency department. a hospital.
The benefits are enormous, but harnessing them is a challenge.
Convergent data models form the basis
The key to a successful and secure IoT setup is a converged data model that provides an integrated setup that harnesses the power of data. With a unified technology landscape, organizations can ingest the flood of IoT data and properly contextualize it to optimize intelligence and incident response.
This use case is what many stakeholders refer to when talking about situational awareness. Interconnected data from connected systems can provide an incredible amount of operational insight and efficiency.
Because it’s such a firehose of data, businesses need help determining what data is actionable, what’s critical, what needs to be tracked, meaning a trend or pattern. and what is simply noise.
Whether this information is received via video systems, access control, intrusion detection systems, VPN connection or secure network monitoring, all data points must be correlated to each other to fully utilize the analytics and AI.
This converged data model provides the ultimate advantage of combined cybersecurity technologies and elements. To remove the needles from the haystack of data, organizations and administrators need to understand all risk vectors.
Imagine a security intelligence center where administrators identify a risk as a disgruntled employee on the web. In a converged model, all relevant information is brought together, often automatically, and then analyzed through a software layer so administrators can identify, track, understand, and respond to the threat. They can also view data through a centralized management pane with the right tools at their fingertips to initiate a reasonable real-time response with planned operating procedures.
Global adoption is key
Critical organizations are embracing these smart concepts because these processes and technology are an ideal way to create an effective IoT program and foster increased collaboration between public and private sector leaders.
Business leaders can identify current threats through increased cooperation while learning and analyzing data points to address future risks, providing stakeholders with better situational awareness.
Data obtained from IoT devices, CCTV, social media and operational systems ensures safety and optimizes operations. But the amount of data collected today can be overwhelming. Stakeholders need methods to transform raw data into valuable information to make informed and intelligent decisions.
Integrated IoT offerings can connect the dots for more efficient command and control. Organizations can protect what matters most with actionable information through the fusion of business and security data from diverse sources, systems and devices.
These integrated intelligence-driven capabilities must work in concert – a symphony of critical data orchestrated and analyzed by advanced analytics to ensure informed decision-making.
Imagine an interconnected offering that aggregates data from multiple sources and devices. With data-driven video and situational awareness software, health and safety monitoring systems, and emergency response offerings, managers can streamline complex operations to help achieve awareness. more vital, more resonant threat detection and broader visibility across any organization.
In harmony, these open, scalable, and adaptable offerings can build a converged infrastructure and support a more proactive and secure business model.
It’s a fact: Organizations are moving away from siled data systems and reactive behaviors, and leaders are looking for ways to centralize management and anticipate threats, prevent them before they happen with a better understanding and to respond to them in real time.
Unite to transform into a safer IoT world
The future vision is that data from multiple IoT devices and systems can target what is relevant and essential for the predictive analytics exercise to understand the attack surface of threats, identify patterns, provide insight situation and create an intelligent threat response network.
Convergence could be more than the integration of traditional cybersecurity, IT and security operations to improve risk mitigation. It would not be inappropriate to describe convergence as an organizational mindset. Embracing unified security intelligence begins with realizing that internal collaboration and management buy-in, along with integrated technologies, contribute to the seamless unification of systems, sensors, and people.
The foundation of this approach is an open architecture for scalability and expansion. This method means IT teams can connect web intelligence, enhanced data collection and analysis, threat visualization, target identification, and crisis event management. With such a setup, enterprises of all sizes can successfully converge existing and emerging applications to transform their siled security operations into a combined security intelligence center.
About the Author
Alan Stoddard is President of North America, where he leads the company’s business strategy and leadership efforts. Experienced global technology executive with a proven track record of growing profits and revenues, he is focused on delivering innovative intelligent security solutions to mission-critical organizations. During his career, he held leadership positions at Honeywell, Flexjet and AMX Corp. He holds an MBA in Finance and Operations from Duke University and a BS in Astronautical Engineering from MIT.