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Zac Amos
80 Results Found
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FeatureCybersecurity Strategies for Managing End-of-Life Industrial IoT Devices
Organizations that establish strong life cycle management practices position themselves to adapt as threats evolve and technology advances. -
NewsPreparing Manufacturing Cybersecurity for the ‘Silver Tsunami’
The “silver tsunami” refers to the large-scale retirement of the Baby Boomer workforce, which can be especially impactful in the manufacturing sector. -
FeatureCybersecurity Compliance vs. Security: Why You Need Both in Manufacturing
“Compliance” and “security” are connected, but they involve different strategies. -
FeatureIs It Possible to Future-Proof Industrial Cybersecurity?
Future-proofing in cybersecurity is best understood as a strategic approach rather than as a promise of permanence. -
FeatureFive Unique Challenges in Incident Response for Distributed Industrial Security Teams
Distributed industrial security teams protect systems where cyber incidents can have real-world consequences, often without being physically present. -
FeatureManaging Shadow AI and IT in Industrial Settings
The existence of shadow AI and IT poses security risks to industry by inadvertently allowing hackers unauthorized access to sensitive systems or databases. -
FeatureWhy You Need Physical Security Testing in Manufacturing
Real-world access points deserve the same level of protection as digital systems. -
FeatureProbabilistic vs. Deterministic AI in Manufacturing
Understanding the differences between probabilistic and deterministic AI will help manufacturers make more informed choices and achieve measurable results. -
FeatureOvercoming 5 Challenges in Industrial Edge Security
Understanding security challenges in industrial edge computing can help teams develop practical solutions to protect organizational data and processes. -
FeatureHow to Secure Digital Twins in Manufacturing
Teams must protect digital twins from cyber threats to keep production safe and running and to defend valuable intellectual property and physical assets. -
FeatureEmbracing Network Segmentation for Warehouse Cybersecurity
With the right strategy and tool set, warehouse managers can segment their industrial networks in three steps. -
FeatureImplementing Cyber Deception in Industrial Cybersecurity
Cyber deception strengthens security posture and reduces risk by diverting attackers away from critical assets. -
FeatureHow AI Improves Signal Processing in Industrial IoT
AI can improve signal processing through signal enhancement, anomaly detection and more. -
FeatureDefending Against Adversarial AI Attacks on Machine Vision Systems
Manufacturing lines now trust machine-vision models, but adversarial attacks may place organizations at risk. -
FeatureDoes Your Manufacturing Company Need a Security Operations Center (SOC)?
A SOC is a centralized facility for constant network monitoring and threat investigation. It unifies IT and OT security. -
FeatureHow to Reduce False Positives in AI-Powered Quality Control
Identifying false positives is almost as important as detecting genuine concerns during quality control (QC) processes. -
FeatureOvercoming Five Cybersecurity Challenges of Rugged Devices
Rugged devices are essential for extreme environments, but organizations must realize that their physical strength does not mean they’re safe from cyber threats. -
FeatureHow AI Bolsters Industrial Outage Management
AI is and will remain valuable for maximizing uptime. It will support human expertise rather than replace it. -
FeatureHow AI Enhances Industrial Power Transformer Efficiency
When transformers malfunction or fail, they can put operations at risk of downtime and financial losses. That’s where AI can come in. -
FeatureHow to Overcome Three Challenges of AGV Implementation
AGVs have become popular in warehouses and manufacturing facilities. Here's how to overcome associated implementation challenges.