Infrastructure as Code is a modern DevOps practice that codifies and manages IT infrastructure through version-controlled files. It enables consistent, repeatable, and scalable deployment of infrastructure resources.
The convergence of Agentic Artificial Intelligence (AI) with Blockchain technologies, particularly Hyperledger, and digital currencies such as the Digital Rupee and Digital Yuan, is set to redefine the future of enterprise operations, monetary systems, and global economic dynamics. As these technologies evolve, they offer unprecedented opportunities for strategic transformation, but they also carry complex implications that demand careful C-Suite attention.
As Agentic AI systems become more autonomous and integrated with critical digital infrastructure (like blockchain, smart contracts, and CBDCs), security testing becomes non-negotiable. Penetration testing is one of the most strategic tools to identify vulnerabilities before adversaries do.
Explainable AI refers to methods and techniques that make the decision-making processes of AI systems comprehensible to humans. Unlike traditional software with deterministic logic, most AI models learn patterns from data, making their internal workings difficult to understand.
The Evolution of Continuous Threat and Exposure Management (CTEM) In a world where cyber‑adversaries continually refine their tactics, security programmes must evolve from episodic testing to an unbroken cycle of detection, analysis and remediation. Continuous Threat and Exposure Management (CTEM) represents this paradigm shift, transforming how organisations perceive and manage risk. This blog unpacks CTEM’s …
AI agents are autonomous or semi-autonomous software programmes that perceive their environment, make decisions, and take actions to achieve defined goals. Unlike traditional software, which follows static instructions, AI agents adapt, learn, and optimise over time.