.png){kind=logo}
Lately, the tech world has seen many significant changes, and it’s not surprising that the reliance on new technologies is rising. Especially industries like retail and automotive are adapting advancements such as the Internet of Things (IoT), Artificial Intelligence (AI), Robotic Process Automation (RPA) and Machine Learning (ML). But as they say, the greater the progress, the greater the vulnerability.
So, even though these innovations bring many opportunities to the table, they also expose organizations to new types of cyber threats. Hence, securing these technologies has become a priority for professionals working in cybersecurity. One such expert, Anil Kumar Malipeddi, has made a significant impact on the industry with his work in securing IoT, AI, and ML systems.
Talking of his career, he has focused on addressing the cybersecurity challenges posed by these technologies, particularly in the retail sector. He has earned recognition for his expertise and led major initiatives that protect critical infrastructure in organizations around the world.
In his role as a Privileged Access Management (PAM) Architect and Leader, Malipeddi did wonders by designing and implementing systems to secure over 10,000 mission-critical systems in global data centers. These systems are essential for enterprises, relying on secure and efficient computing environments.
But the professional’s zeal goes beyond traditional cybersecurity. He has been an important figure in integrating Zero Trust security frameworks into the IoT, AI, and RPA ecosystems. By ensuring continuous authentication, enforcing least privilege access, and enabling real-time threat monitoring, his efforts assisted organizations in protecting their networks and data better from increasing cyberattacks. His leadership led to improvements in security posture, with one project reducing data breaches by 30% for a major retailer, resulting in significant financial savings.
The professional’s contributions have been especially impactful in improving the efficiency of security operations. For instance, the implementation of AI-driven threat detection systems reduced incident response times by 30%.
Further, the integration of these systems with Privileged Access Management (PAM) solutions enabled faster identification and remediation of security incidents. This cut down the time and resources required to address potential threats. This integration was particularly crucial in environments where security breaches could have serious financial and reputational consequences.
In addition to his technical achievements, the expert has also made notable contributions to the academic side of cybersecurity. He has provided research on topics such as AI-driven security models, machine learning security, and authentication technologies.
“Securing AI Models: Cryptographic Approaches to Protect AI Algorithms and Data”, “Using AI for Intrusion Detection and Threat Intelligence: Enhancing Enterprise Security in the Digital Age” and “Cryptography in IoT: Securing the Next Generation of Connected Devices” are some of his papers that are published in industry journals.
Recognising the challenges that came his way, securing ML and AI models was a profound one. To address this, he developed secure DevSecOps strategies and integrated secrets management tools to protect AI frameworks and ML training models. This work has ensured that AI systems operate securely while maintaining the integrity and confidentiality of sensitive data.
However, cyber threats don’t end here. “We are seeing a rise in adversarial attacks designed to manipulate AI systems, and the exploitation of vulnerabilities in IoT devices is becoming more prevalent,” Malipeddi noted. To combat these threats, he advocated for the development of strong security standards for IoT devices and greater resilience for AI algorithms against such attacks.
In conclusion, the importance of collaboration between industry, academia, and government should be stressed upon to address these challenges effectively. Additionally, it is equally important to integrate security measures from the earliest stages of technology design and development. As industry experts would agree, a “security by design” approach is essential for building systems that are both functional and secure.
With industries moving forward, ensuring the protection of their most valuable assets—data, systems, and infrastructure—will be essential in encouraging trust and ensuring long-term success.
