Technica Continuous Monitoring Risk Assessment Automation
Modern applications are evolving faster, growing more complex, and becoming increasingly disturbed. The Navy faces many challenges in securing, operating, and defining their complex…
Deep Learning for Cybersecurity
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…
GPU Accelerated Computing
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…
IoT Analytics in the Enterprise with FUNL
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…
Time Series Analysis (TSA) and Deep Learning
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.…
What is Graph Analytics? And When Do You Use It?
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…
SmartFog for Cybersecurity: AI to the Tactical Edge
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…
ZTA+AIOPS Revolutionizing Cybersecurity
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…
AIOPS for DCO
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…
Bridging the Gap with Explainable AI
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…
