Summer Myatt
With the rise of high-profile cyber attacks and the increasing threat of data breaches, companies are looking to new solutions for addressing, mitigating and preventing security concerns. Now, more than ever, organizations are setting their sights on artificial intelligence for cybersecurity applications.
Capabilities such as rapid data collection and processing, real-time visibility and enhanced analysis, position AI technology as a crucial component in performing breach investigations, identifying vulnerabilities and delivering better insights from collected data.
As the technology’s security uses continue to expand, the concept of AIOps is gaining traction as the latest innovation in the information technology and cybersecurity space.
AIOps – or artificial intelligence for IT operations – is the term used to describe the application of AI technologies like machine learning, natural language processing and others in traditional IT operations. According to Gartner, “AIOps combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination.”
Integrated with IT, AI technology can have a myriad of benefits on an organization’s critical operations. Here are the top 3 areas in which AIOps can impact IT:
Data
Commercial companies and federal agencies process massive amounts of data on a daily basis. AI can help to sift through this data to eliminate redundancies (which can account for up to 99 percent of an organization’s data), select elements that indicate a problem and quickly identify potential threats.
Additionally, machine learning can capture background information through the data collection process and help to provide greater context in handling future cyber incidents.
Vulnerability Identification
The AIOps platform can correlate information across multiple data sources to track patterns and give organizations a comprehensive view of the IT environment from infrastructure and network to applications and storage in the cloud and in physical assets.
This correlation helps organizations to find relationships between data elements and categorize them for further analysis.
AIOps can also perform root cause analysis, or inference, to identify the source of issues and prevent them from occurring again.
Automation
Because the AIOps platform automates the above processes, IT personnel and employees have the flexibility and freedom to shift their focus to larger, more complex tasks within organizations.
Automation can help improve operational efficiency and promote cross collaboration between IT specialists and disparate departments. This also speeds up the diagnosis of an issue and the resolution time needed to address it.
Learn more about the role AI can play in cybersecurity at the Applying AI to Data for Cyber Hygiene and National Security Forum hosted by ExecutiveBiz Events on March 10.
This in-person forum features Stephen Wallace, chief technology officer and emerging technology director for the Defense Information Systems Agency, as the keynote speaker, as well as industry experts from Skyepoint Decisions, NT Concepts and TIBCO.
Register now for the Applying AI to Data for Cyber Hygiene and National Security Forum on March 10!
