AIOps (Artificial Intelligence for IT Operations) offers several benefits for Defensive Cyber Operations (DCO) which involve protecting an organization’s digital assets and system from cyber threats and attacks. By leveraging artificial intelligence and machine learning, AIOps enhances and automates the ability to detect, respond to, and mitigate cybersecurity threats with unmatched speed and accuracy. Its proactive…
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AIOps can play a significant role in enhancing the implementation of Zero Trust security by providing advanced monitoring, enriched visibility for actionable insights, behavior profiling and analytics, and risk-based access control. Integrating AIOps with Zero Trust principles can create a more adaptive and effective security posture in today’s complex threat landscape. Download
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Artificial Intelligence (AI) has witnessed remarkable advancements in recent years, enabling it to achieve unprecedented levels of performance across various domains. However, as AI systems become more complex and pervasive, their “black-box” nature has raised concerns about their interpretability and trustworthiness. To address these challenges, the concept of Explainable AI (XAI) has emerged as a…
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SmartFog is a software-based, hardware-agnostic, capability that builds upon multiple core technologies. When employed for Cybersecurity, SmartFog leverages the convergence of the Internet of Things (IoT), Fog Computing, and Artificial Intelligence (AI) assisting human cyber analysts in making sense of the glut of cyber-data. It easily deploys AI-Analytic Microservices to the Cloud, Fog, and IoT…
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The massive parallelism of GPUs allows significantly faster data processing and analysis without having to purchase expensive hardware and software licenses. FUNL is Technica’s GPU accelerated graph analytics engine. But… what is graph analytics? Why is it important? What are the best use cases for this approach to data analysis? Download
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Time series data records quantities that represent or trace the values taken by, a variable over a period such as a month, quarter, or year. In other words, time series data describes something over time. We are surrounded by time series data. What makes time series data so important is that it allows one to…
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It is difficult to verify Cisco’s prediction of 50 billion connected devices by 2020 or Gartner’s guess of $1.9 trillion in economic value add. What is clear is that a significant movement is afoot, and major players like Google, with its acquisition of Nest, are positioning themselves to ride the IoT wave. IoT is simply…
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The performance experienced in GPU accelerated applications is often by orders of magnitude—10 to 100 times faster than CPU-only computing. GPU accelerated servers now power energy-efficient datacenters in government labs, universities, enterprises, and small-and-medium businesses around the world. GPUs are accelerating applications in platforms ranging from cars, to mobile phones and tablets, to drones and…
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This paper introduces deep learning and then looks to anticipated use cases that fit within a sweet-spot for Technica: cybersecurity. Baidu—the Google of China, with 92% of search users in China—claims that deep learning improved its antivirus filters. While promising, doing deep learning for an organization is still very complex. It is a bit like…
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