SEPTEMBER 202419 As technology evolves, cybersecurity challenges also evolve, presenting complex threats that require robust mitigation strategies. We recognize the importance of robust data governance and security measures to safeguard against cyber threats. Adhering to data governance protocols for personal and confidential data, restricting data access to authorized users through role-based access controls (RBAC) and implementing preventive measures such as encryption and anomaly detection are crucial steps in maintaining a secure data environment. Furthermore, we leverage AI-driven security solutions, including OpenAI as a security assistant, to summarize incident logs, detect anomalies in network traffic patterns and provide actionable recommendations to mitigate cyber risks effectively. Continuous monitoring and threat intelligence integration ensure a proactive approach to cybersecurity, allowing us to stay ahead of emerging threats and vulnerabilities.Since the OpenAI gives data that are available publicly and is trained to use public data, if we ask the question related to private data the model will not give the right answer. In conclusion, the integration of AI, data analysis and data modeling empowers enterprises, including the mining industry, to drive innovation, enhance operational efficiency and mitigate risks effectively in today's digital landscape. As we continue to embrace technological advancements, we remain committed to leveraging AI-driven solutions to propel our industry forward into a new era of digital excellence, sustainability and safety. Harnessing the power of AI and data analytics, mining companies can unlock new insights, optimize processes and achieve greater operational resilience in an increasingly competitive and dynamic market environment. WE RECOGNIZE THE IMPORTANCE OF ROBUST DATA GOVERNANCE AND SECURITY MEASURES TO SAFEGUARD AGAINST CYBER THREATS
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