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Cyber threats are evolving and escalating at an alarming rate for mining and metals, and other asset-intensive industries.
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Many organizations have unmonitored assets and data that are inadequately protected based on their risk profile. This challenge is exacerbated when companies merge or acquisitions are completed, or when new technologies are adopted. To scale cybersecurity, organizations must effectively manage and secure their assets, data and technologies.
For cybersecurity, threats are ever-present, constantly probing for vulnerabilities. The rise of AI has empowered even novice cybercriminals to launch sophisticated attacks. Real-world incidents, such as breaches in SCADA systems managing oil pumps, highlight the urgency of addressing these challenges. And state actors are increasingly turning to cyber activities targeting the critical infrastructure of real and perceived enemies.
Implementing advanced monitoring tools and maintaining an updated inventory of critical assets will improve visibility and facilitate timely threat identification. COOs and cybersecurity leaders should collaborate with business leaders to prioritize critical elements and align on protective outcomes. For example, cybersecurity teams may not have complete awareness or knowledge of all the remote sensors present at a facility. This is especially true in cases of an acquisition. Should companies conduct a complete inventory of these sensors, or are there alternative approaches? What strategies can a company implement to close this knowledge gap and strengthen their cybersecurity posture?
Continuous monitoring is crucial for evaluating cybersecurity effectiveness. Organizations should deploy real-time monitoring tools and conduct regular security assessments to promptly identify and reduce threats. While logging data helps businesses identify trends and resolve potential incidents efficiently, it also leads to informed decision-making.
Staying ahead of trends like AI in cybersecurity is also essential for addressing emerging challenges. AI and machine learning can enhance threat detection and response capabilities. As the adoption of IoT and connected devices increases, organizations must implement robust strategies to secure these devices and protect the data they generate.