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Zac Amos
81 Results Found
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FeatureHow to Identify Data Poisoning in Industrial AI
Data poisoning reduces AI accuracy by influencing what an industrial system learns and how it responds to inputs. -
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. -
FeatureOvercoming Six Obstacles in Transitioning to Green Manufacturing
Even gradual implementation and green improvements are better than pushing them onto the back burner. -
Feature9 SCADA System Vulnerabilities and How to Secure Them
This blog post presents nine common SCADA system vulnerabilities as well as a few strategies to secure them. -
FeatureHow Will the Industry 5.0 Transition Impact Tech Employment?
While technologies like artificial intelligence (AI) ultimately create more jobs than they take, it’s not a one-to-one transition. -
FeatureHow to Use AI for Circular Manufacturing
AI’s potential for long-term sustainability will only grow, particularly when it comes to circular manufacturing. -
FeatureHow Will Quantum Computing Impact Industrial Cybersecurity?
Quantum computing could enable more efficient process improvements or data analysis work, but it brings with it potentially new cybersecurity challenges. -
Feature6 Cybersecurity Considerations When Configuring Industrial IoT Devices
Integrating industrial internet of things (IIoT) technology into industrial settings improves safety and increases productivity while introducing risks. -
FeatureThe Role of Data Destruction in Industrial Security
How can organizations ensure appropriate data destruction practices as part of a holistic cyber-physical security program? -
FeatureChallenges of Deploying AI for Industrial Workplace Safety
Businesses can successfully integrate AI into their safety protocols by addressing issues related to data quality, system integration, workforce resistance and more. -
FeatureThe Role of AI in Lean Manufacturing
Bringing AI into lean practices can help manufacturers reach goals faster and keep their companies on track for long-term success. -
FeatureDefending Against State-Sponsored Cyberattacks in 2025
State-sponsored cyberattacks and nation-state data breaches are on the rise in industrial sectors. How can cybersecurity professionals defend against them? -
FeatureHow to Improve AI Quality Control in Manufacturing
The most competitive facilities will have fine-tuned their relationships with AI to boost data integrity. -
FeatureSix Cybersecurity and Automation Tips to Boost Supply Chain Resilience in 2025
In 2025, emerging trends will reshape how companies approach resilience, with a sharp focus on automation and digital systems. -
FeatureOvercoming Five Cybersecurity Risks of Cobots
Becoming well-known for effective cobot installation requires deploying security methods to stay safe in cyberspace. -
FeatureImplementing AI Anomaly Detection in Industrial Cybersecurity
With the increased use of IoT in operational technology, businesses face greater risks from cyberattacks that can disrupt operations and compromise sensitive data. -
FeatureHow Machine Learning Prevents Manufacturing Fraud
With machine learning's predictive and analytic capabilities, manufacturers can stay ahead of changing threats. -
FeatureCybersecurity Risks of Automating Offshore and Maritime Operations
As automated systems continue to advance, it is crucial for maritime organizations to be aware of cybersecurity risks and implement proper security measures. -
FeatureLeverage Predictive Analytics to Identify Insider Threats in Smart Manufacturing
Predictive analytics technology forecasts outcomes and could be critical for early detection and intervention—but will it be enough? -
FeatureIs Your Business Ready for Automation?
Understanding the right timing for implementing automation requires planning. -
FeatureHow Digital Twins Improve Industrial Supply Chain Cybersecurity
Whether you want to secure board buy-in or convince your team implementing a digital twin is the right choice, consider turning industry success stories and relevant metrics into visuals. -
FeatureHow to Automate Third-Party Risk Management in the Supply Chain
Cyber threats targeting supply chains have surged, with cybercriminals often exploiting weaker security practices among vendors to infiltrate larger organizations. -
FeatureCybersecurity Risks of Surgical Robots in Healthcare
As the adoption of surgical robotics grows, so does the urgency to address and mitigate the cybersecurity risks of sophisticated technologies. -
FeatureHow to Implement Adaptive Security in Your Organization
Whereas conventional methods build their protections around responding to incidents—internal or in other organizations—the adaptive approach proactively looks for new threats and opportunities to improve. -
FeatureHow to Implement Automated Phishing Simulations
Human error is the weakest link in any business’s cybersecurity, making employee training essential. -
FeatureHow CMMC Requirements Impact Manufacturers
The Department of Defense’s Cybersecurity Maturity Model Certification (CMMC) is making security a more tangible business concern for many manufacturers. -
FeatureMost Cybersecurity Teams Are Unprepared for AI Cyberattacks
Cybersecurity teams aren’t the only ones using artificial intelligence to their advantage—cybercriminals are using this technology to launch never-before-seen cyberattacks, catching organizations off guard. -
FeatureHow to Implement Cybersecurity Automation in Education
The education system is one of those industries with abnormally high risk, making it all the more crucial to implement advanced security measures like automation. -
FeatureSeven Best Practices for Secure RPA Implementation
While RPA is often more accurate than humans, it is imperfect—overreliance can lead to critical security-endangering mistakes. -
FeatureThe Role of Computer Vision in Cybersecurity Automation
Computer vision is crucial in cybersecurity for enhancing threat detection through pattern recognition and anomaly identification. -
FeatureHow to Secure IoT Networks in Smart Warehousing
When a warehouse experiences a disruption, the consequences ripple throughout the supply chain.