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Cisco Other Medium Signal 2026-03-09

Cisco Demonstrates Bidirectional XDR-Splunk ES Integration

Cisco showcased a SOC innovation at Cisco Live EMEA 2026 featuring automated bidirectional workflows between XDR and Splunk ES via API integration. The solution includes status synchronization, event transformation, and Webex notifications, reducing platform switching time and improving SOC response efficiency.

Cisco Other Medium Signal 2026-03-09

Cisco Validates Layered SOC Defense Architecture Through Live Exercise

Cisco security team deployed an integrated SOC solution in a 48-hour live exercise, demonstrating a three-layer defense architecture inspired by Dutch Delta Works. The architecture integrates Cisco's own products (XDR, FTD, SNA) with acquired assets (Splunk, Endace) for closed-loop analysis from traffic monitoring to attack forensics.

Cisco Other Medium Signal 2026-03-09

Cisco Launches Security AI Reasoning Model Integrated with XDR Platform

Cisco introduced an 8B-parameter LLM specifically designed for cybersecurity, featuring multi-step reasoning capabilities. The open-weight model supports on-premises deployment and deep integration with XDR workflows and playbooks to enhance SOC efficiency.

Cisco Other Medium Signal 2026-03-09

Cisco Demonstrates Autonomous AI Framework for SOC Automation

Cisco demonstrated an autonomous AI framework at Cisco Live that automates Tier 1/2 analyst tasks like threat intelligence collection, log integration, and event classification to improve SOC efficiency. The framework successfully filtered high-signal security events in an unmanaged network environment, validating AI agent efficacy in security operations.

Cisco Other Medium Signal 2026-03-09

Cisco Firewall 10.0 Enhances Splunk Integration and Advanced Logging

Cisco launched Secure Firewall 10.0 with a new Splunk integration wizard for simplified log export and advanced logging features for granular protocol analysis. These enhancements improve network observability and threat investigation efficiency for existing deployments.

TSMC Other High Signal 2026-03-07

TSMC Launches Advanced Packaging Platform for Heterogeneous Integration

TSMC launches an advanced packaging platform integrating CoWoS, InFO, and SoIC 3D stacking technologies for micron-level vertical integration of chips across process nodes. It delivers higher interconnect density, bandwidth, and lower power consumption, supporting complex SoC designs as part of its Open Innovation Platform to accelerate time-to-market.

Ericsson Other Medium Signal 2026-03-05

AT&T and Ericsson Deploy AI-Native Software for Cloud RAN Optimization

AT&T and Ericsson deployed AI-native software on Intel Xeon 6 SoC to enhance Cloud RAN performance through real-time analysis and intelligent scheduling. The solution leverages integrated AI acceleration to dynamically optimize network capacity and energy efficiency, supporting AT&T's transition to open programmable network architecture.

NVIDIA Other Medium Signal 2026-03-04

NVIDIA Extends CUDA Tile Programming Model to Julia Language

NVIDIA introduces its CUDA Tile high-level GPU programming model to the Julia ecosystem via the cuTile.jl package. This move aims to lower the barrier to high-performance GPU kernel development by abstracting low-level thread and memory management with a tile-based data model, while maintaining high syntax and performance parity with the Python version.

AMD Other Medium Signal 2026-03-04

AMD Launches Power Design Manager for Hardware Design Optimization

AMD introduces Power Design Manager, a tool for power modeling, analysis, and optimization in hardware design. It integrates with AMD's FPGA and adaptive SoC platforms, enabling engineers to identify power hotspots early and optimize energy efficiency.

AMD Other Medium Signal 2026-03-04

AMD Releases Updated Device Models for FPGA and Adaptive SoC Verification Acceleration

AMD released updated device models for core product lines including Versal ACAP and UltraScale+, enhancing pre-silicon simulation accuracy and toolchain compatibility. The update aims to accelerate hardware design verification and reduce development risks for complex systems like AI and data centers.

AMD Other Medium Signal 2026-03-04

AMD Launches Vitis Embedded Platform for Edge AI Development

AMD introduces Vitis Embedded Platform offering pre-built hardware/software foundations for adaptive SoCs and FPGAs, integrating OS, drivers and middleware to streamline edge AI development. Provides out-of-box support for Kria and Zynq evaluation kits, accelerating deployment in robotics and industrial vision applications.

AMD Other Medium Signal 2026-03-04

AMD Launches Vitis Unified Platform for AI and HPC Development

AMD launches Vitis unified software platform, simplifying FPGA and adaptive SoC development through high-level programming models. The platform integrates optimized libraries for AI inference and data analytics, supports mainstream AI frameworks, and provides performance analysis tools. This lowers the barrier for heterogeneous computing development.

AMD Other Medium Signal 2026-03-04

AMD Enhances Vivado and Vitis Integration for Hardware-Software Co-Design

AMD's Vivado design suite deepens integration with Vitis unified software platform, offering full development from high-level synthesis to system integration. It enhances IP-based design reuse and supports hardware-software co-design for FPGA, adaptive SoC, and ACAP.

Apple Other Medium Signal 2026-03-03

Apple M5 Chips Integrate Neural Accelerators for Enhanced Local AI Inference

Apple launches M5 Pro and M5 Max chips with Fusion architecture integrating dual-die SoC, featuring neural accelerators per GPU core for 4x AI performance boost. Unified memory bandwidth up to 614GB/s supports 128GB RAM, optimized for local LLM processing and AI model training.

Apple Other Medium Signal 2026-03-03

Apple Introduces M5 Pro/Max Chips with Fusion Architecture for Enhanced AI Performance

Apple launches M5 Pro and M5 Max chips featuring a new fusion architecture that packages two 3nm dies into a single SoC, delivering over 4x AI performance improvement. The chips include an 18-core CPU and GPU with integrated neural accelerators, with unified memory bandwidth up to 614GB/s.

Trend Micro Other High Signal 2026-03-03

Trend Micro Report Highlights AI Supply Chain Risks and Model Attack Surfaces

Trend Micro's 'Fault Lines in the AI Ecosystem' report systematically analyzes security risks in the AI supply chain, including training data poisoning, third-party plugin vulnerabilities, and model theft attacks. It indicates that enterprise AI security boundaries have expanded from traditional IT infrastructure to the model layer and data pipelines.

Samsung Electronics Other Medium Signal 2026-03-03

Samsung and Vodafone Validate vRAN Solution on Intel Xeon 6 SoC

Samsung and Vodafone successfully tested a vRAN solution on Intel Xeon 6 SoC, supporting multi-generation networks and AI applications. The software-driven, cloud-native architecture enhances performance and reduces costs, with commercial deployment planned for 2026.

AMD Other Medium Signal 2026-03-02

AMD Launches Vitis AI Developer Tools to Strengthen AI Inference Ecosystem

AMD releases Vitis AI developer tool suite, providing a unified AI development environment for its adaptive computing platforms. The tools support mainstream deep learning frameworks and offer model optimization, quantization, and compilation capabilities to lower deployment barriers for AI models on AMD hardware.

AMD Other 2026-03-01

AMD Releases FPGA Development Kits to Strengthen Edge Computing Ecosystem

AMD launched multiple development boards and kits based on adaptive SoCs and FPGAs, targeting embedded systems, industrial automation, and edge computing. These hardware platforms aim to lower development barriers and provide chip verification and system integration support. This move is part of AMD's strategy to enhance its programmable logic device ecosystem.

AMD Other Medium Signal 2026-03-01

AMD Launches Vivado ML Edition, Integrating AI Optimization into Hardware Design Toolchain

AMD launches Vivado ML edition, introducing machine learning-based automation for FPGA and adaptive SoC design. The tool enhances chip performance, power, and area efficiency through intelligent algorithms, while improving team collaboration and dynamic hardware reconfiguration capabilities.