HomeCII/OTAI-powered analytics enhance security readiness and response

AI-powered analytics enhance security readiness and response

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Arunava Bag, the Chief Technology Officer at Digitate, recently shared insights on how organizations can recover digital operations post-incident, prioritize cybersecurity strategies, and secure digital operations effectively in a Help Net Security interview.

After an incident, IT security teams face challenges in remediating IT operational risks stemming from evolving threats. Bag emphasized the need for a proactive system comprising IT observability, intelligence, and automation to recover digital operations successfully. He suggested that organizations should begin by unifying visibility across their IT environments to swiftly detect and respond to incidents. Eliminating data silos, leveraging AI-powered insights, and embracing automation were highlighted as crucial steps in expediting remediation processes and ensuring reliable recovery.

When it comes to prioritizing cybersecurity preparedness strategies, Bag stressed on the importance of consolidating tools and platforms to streamline security efforts and identify high-risk areas effectively. Cross-functional collaboration amongst IT teams, security specialists, and executive leaders was deemed essential. Implementing proactive measures like self-learning algorithms and predictive analytics can help in addressing threats before they materialize. Additionally, regular training and clear communication play a vital role in ensuring that every team member understands their role in securing the organization.

In terms of frameworks and methodologies for securing digital operations, Bag recommended national frameworks such as NIST or ISO 27001 for managing cybersecurity risks. He also highlighted the benefits of adopting a platform-centric approach to reduce complexity and better manage risks in hybrid IT environments. As organizations increasingly look to leverage AI for stable and secure operations, Bag suggested conducting audits of current processes, deploying observability solutions, enabling AI-generated insights, and gradually introducing automation for first response actions.

Furthermore, Bag emphasized the importance of explainable AI operations and outlined key strategies for leaders to engage in this realm. Integrating white-box models, post-hoc explainability techniques, feature maps, ensemble of algorithms, and user-friendly evidence generation were highlighted as crucial elements for creating an explainable AI system.

To foster a culture of security awareness among employees and stakeholders, Bag recommended making security visible and integral in everyday operations. Equipping employees with actionable insights, tailored training programs, real-time feedback through simulated scenarios, and aligning security initiatives with broader goals were cited as effective strategies to enhance security awareness within an organization.

Looking ahead, Bag discussed emerging trends and technologies that are expected to shape the future of securing digital operations. The integration of AIOps, which leverages vast datasets to predict potential issues and enhance system availability, was highlighted as a key trend. This transition from reactive monitoring to proactive IT management is poised to make businesses more resilient and agile, aligning IT operations closely with overarching business objectives.

In conclusion, Arunava Bag’s insights shed light on the critical steps organizations can take to recover digital operations, prioritize cybersecurity strategies, and secure digital operations effectively amidst evolving threats and challenges in the cybersecurity landscape. By adopting proactive measures, fostering cross-functional collaboration, and embracing emerging technologies, organizations can enhance their resilience and agility in the face of digital disruptions.

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