Skip to main content

Network and Security controls

Cisco strengthens integrated IT/OT network and security controls


A recent report from IDC went even further, stating that 50% of OT assets are more than 10 years old, and their security posture needs to be assessed. “Most OT networks remain unsegmented, leaving critical assets exposed and increasing the likelihood of lateral movement during attacks. Adaptive security policies and real-time segmentation are common in IT. These solutions can help minimize risks in OT without disrupting operations if they are integrated with OT visibility products,” wrote IDC’s Romain Fouchereau, senior research manager, European security.

“Managing OT security in isolation is no longer viable. Even when building a dedicated security operations center (SOC) for OT, effective threat detection requires telemetry from both the IT and OT domains,” Fouchereau wrote. “Unified threat detection enables organizations to correlate events across all domains and detect patterns and advanced threats that could otherwise go unnoticed. Detecting and responding to modern threats requires best-in-class IT security tools for each task of the security workflow. These tools need visibility and context to the industrial process.”

Cisco is not alone in its efforts to meld IT and OT networking and security. Networking competitors such as HPE/Juniper and Extreme have integration plans. Security vendors such as Palo Alto, Fortinet and others have integration capabilities as well.

networking, TCP/IP, firewall, bandwidth, router, switch, VPN, proxy, IP address, subnet, LAN, WAN, DNS, DHCP, packet, protocol, encryption, cybersecurity, cloud, latency

#Networking, #TCPIP, #Firewall, #Bandwidth, #Router, #Switch, #VPN, #Proxy, #IPAddress, #Subnet, #LAN, #WAN, #DNS, #DHCP, #Packet, #Protocol, #Encryption, #Cybersecurity, #Cloud, #LatencyInternational Conference on Network Science and Graph Analytics


Visit: networkscience.researchw.com

Award Nomination: networkscience-conferences.researchw.com/award-nomination/?ecategory=Awards&rcategory=Awardee

For Enquiries: support@researchw.com

Get Connected Here
---------------------------------
---------------------------------
instagram.com/network_science_awards
tumblr.com/emileyvaruni
n.pinterest.com/network_science_awards
networkscienceawards.blogspot.com
youtube.com/@network_science_awards

Comments

Popular posts from this blog

HealthAIoT: Revolutionizing Smart Healthcare! HealthAIoT combines Artificial Intelligence and the Internet of Things to transform healthcare through real-time monitoring, predictive analytics, and personalized treatment. It enables smarter diagnostics, remote patient care, and proactive health management, enhancing efficiency and outcomes while reducing costs. HealthAIoT is the future of connected, intelligent, and patient-centric healthcare systems. What is HealthAIoT? HealthAIoT is the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) in the healthcare industry. It integrates smart devices, sensors, and wearables with AI-powered software to monitor, diagnose, and manage health conditions in real-time. This fusion is enabling a new era of smart, connected, and intelligent healthcare systems . Key Components IoT Devices in Healthcare Wearables (e.g., smartwatches, fitness trackers) Medical devices (e.g., glucose monitors, heart rate sensors) Rem...
Detecting Co-Resident Attacks in 5G Clouds! Detecting co-resident attacks in 5G clouds involves identifying malicious activities where attackers share physical cloud resources with victims to steal data or disrupt services. Techniques like machine learning, behavioral analysis, and resource monitoring help detect unusual patterns, ensuring stronger security and privacy in 5G cloud environments. Detecting Co-Resident Attacks in 5G Clouds In a 5G cloud environment, many different users (including businesses and individuals) share the same physical infrastructure through virtualization technologies like Virtual Machines (VMs) and containers. Co-resident attacks occur when a malicious user manages to place their VM or container on the same physical server as a target. Once co-residency is achieved, attackers can exploit shared resources like CPU caches, memory buses, or network interfaces to gather sensitive information or launch denial-of-service (DoS) attacks. Why are Co-Resident Attack...
                        Neural Networks Neural networks are computing systems inspired by the human brain, consisting of layers of interconnected nodes (neurons). They process data by learning patterns from input, enabling tasks like image recognition, language translation, and decision-making. Neural networks power many AI applications by adjusting internal weights through training with large datasets.                                                    Structure of a Neural Network Input Layer : This is where the network receives data. Each neuron in this layer represents a feature in the dataset (e.g., pixels in an image or values in a spreadsheet). Hidden Layers : These layers sit between the input and output layers. They perform calculations and learn patterns. The more hidden layers a ne...