.png){kind=logo}
The increasing reliance on digital technology has made critical infrastructure, particularly power grids, a prime target for cyber threats. As cyber-attacks grow in sophistication, securing these vital systems has become a national priority. Organizations are turning to AI-powered threat detection, Zero Trust Architecture (ZTA), and advanced security automation to safeguard industrial control systems (ICS) and SCADA environments. The integration of predictive analytics, cloud security, and compliance frameworks is essential in ensuring that the energy sector remains resilient against ever-evolving cyber threats.
Suchismita Chatterjee, a Cybersecurity Product Specialist in the industry, is one of the leading figures in making strides in the security posture of national power grid infrastructure. "Cyber resilience is not just about responding to threats, it’s about anticipating them and adapting in real-time," she says. Recently, Chatterjee was responsible for the development and deployment of the Advanced Threat Detection Shield that would incorporate AI-driven anomaly detection, machine learning-based intrusion prevention, and automated security orchestration for protecting SCADA and ICS environments. Her knowledge of regulatory compliance with respect to NERC-CIP standards has enabled the organization to coordinate its cyber security strategy with national security policies.
At PG&E, she played a crucial role in implementing Zero Trust principles, minimizing insider threats and unauthorized access. By embedding security controls directly into PG&E’s DevSecOps pipeline, she has reduced security vulnerabilities by 40% and strengthened threat detection efficiency by 50%. Her work in cloud security governance has helped PG&E meet FedRAMP, SOC2, and GDPR compliance while automating risk management strategies. "Compliance is a starting point, but true security goes beyond regulations—it’s about building proactive and adaptive defenses," she states.
Her contributions have expanded towards taking her beyond work; she has already collaborated with government agencies and cyber-security think tanks. Her revolutionary research on AI-cyber security resilience and Zero Trust frameworks has graced IEEE conferences and international security summits, thereby earning her a badge of critical infrastructure protection thought leader. She has properly trained over 100 employees in best practices on: - cloud security. incident response, and compliance automation through awareness initiatives and training programs.
Among her major projects, Chatterjee has driven the automation of cyber risk assessments within governance, risk, and compliance (GRC) platforms like Brinqa and OneTrust. This initiative has refined compliance processes, reducing audit preparation times by 75% and strengthening PG&E’s overall security posture. Her work in Cloud Security Posture Management (CSPM) has improved policy enforcement by 45%, ensuring continuous compliance in multi-cloud environments. Additionally, her leadership in AI-driven security automation has led to a 55% reduction in incident response times and has successfully mitigated 95% of cyber threats before escalation.
Academic writings like ‘Deparameterizing the Oil and Gas Industry Infrastructure with Zero Trust Architecture and Improve the Cyber Security’ highlight her dedication to the domain. In this particular paper she talks about different components of the Zero Trust Architecture and explore the concepts where the Zero Trust Architecture can be used to manage the access control.
The security of critical infrastructures crosses many unique barriers: the security of legacy systems, regulatory hurdles, and real-time threats posed by hackers. Chatterjee addressed all these challenges with the automation of security patching, AI-based anomaly detection, and Zero Trust-based micro-segmentation, with unauthorized access attempts down by 80%. That merger scheme of applying cyber-security with business continuity has given her the potential to ensure operational resilience while diligently ensuring that security standards are met.
Forward-looking, Chatterjee sees an advancing path for AI in cyber-security especially in predictive analytics toward the deterrence and mitigation of threats. "The future of cyber-security will be dominated by self-healing networks, AI decision-making, and hyper-automation of security workflows," she predicts. As cyber threats continue to evolve, her pioneering work protects the national power grid in an age of increasing digital risk, making it secure, resilient, and future-proof.
