Search results for: 'Security Analytics and SIEM'

Adoption of software supply chain security (SSCS) solutions will maintain steady growth during the next 5 years, mainly because of increasing SSCS risks that result from digitization; the inability of traditional application security approaches to safeguard applications or address SSCS; the surging use of open-source and third-party code, tools, an...

15 Apr 2015  |  North America  |  Market Research

SIEM and Log Management Global Market Analysis

All Information Becomes Actionable

Infographics

×

Security information event management (SIEM) and log management (LM) products have been used traditionally by organizations for compliance reporting and auditing. SIEM/LM are integral to advanced persistent threat defense (APT) as statistical baselines can be established to monitor enterprise networks for anomalous behavior. SIEM can be the last ch...

Organizations are increasingly adopting hybrid and multicloud environments to leverage their advantages and deal with the socioeconomic changes of the COVID-19 pandemic and the subsequent acceleration of digital transformation. The global lack of security experts, the sophistication of threats, and the complexity of security solutions make it chall...

The Americas managed security services industry continues to grow steadily, despite its maturity. Current strategic imperatives, global trends, and organizational needs continue to provide excellent conditions for MSSPs to succeed. These factors include the shortage of cybersecurity personnel, the rapid evolution of the threat landscape, the increa...

HUMAN Security provides a robust, technology-driven solution for fraud detection and prevention (FDP), securing digital interactions across accounts, applications, and advertising. By analyzing signals from trillions of interactions and billions of devices, HUMAN Security offers advanced capabilities in bot management, account protection, and fraud...

Virtual worlds or metaverses will gather different types of user data, including personal information (age, gender, name), user behavior (choices/habits), and metadata from personal communication. Engaging in a virtual environment might expose users to continuous monitoring from commercial providers, as well as hacking from bad actors. Furthermore,...

This study examines the key trends and issues affecting the U.S. hospital health data analytics market, including a review of industry challenges and market drivers and restraints through 2016. It also analyzes the impact of recent legislative mandates on the implementation and usage of information technology, including data analytics, in U.S. hos...

AI is not a new technology. In fact, AI and machine learning (ML) concepts have been around for more than a century. The comparatively recent (early 2020s) release of and commercial general availability of generative AI (GenAI) solutions have enabled, facilitated, and accelerated AI adoption, both in individual and enterprise contexts. Rapid AI ado...

Augmented analytics technology leverages machine learning (ML)/artificial intelligence (AI) and natural language generation (NLG) to enhance data analytics process by automating data analysis and sharing the insights in a intuitive visual format. The technology is primarily aimed at empowering non-technical/non-data scientist users to effectively p...