Agentic AI Archives - Krishna Gupta

AI Agents vs Agentic AI vs Agentic RAG: Demystifying the Next Frontier for Data Scientists

15 July 2025 by Krishna

Artificial Intelligence has transformed from a theoretical construct into a practical powerhouse driving real-world applications across sectors. At the forefront of this revolution lies a new taxonomy of intelligent systems: AI Agents, Agentic AI, and the emergent concept of Agentic Retrieval-Augmented Generation (Agentic RAG). For data scientists—tasked with building intelligent systems, driving innovation, and ensuring scalable impact—it is crucial to differentiate and understand these evolving paradigms.

Agentic RAG in Vulnerability Assessment and Vulnerability Management

14 July 202514 July 2025 by Krishna

To explore how Agentic Retrieval-Augmented Generation (RAG) revolutionises vulnerability assessment and management through autonomous decision-making, context-aware retrieval, and intelligent automation — with a strong focus on ROI, business impact, and proactive risk mitigation.

Agentic RAG in CTEM: Reimagining Continuous Threat Exposure Management with Autonomous Intelligence

13 July 2025 by Krishna

Continuous Threat Exposure Management (CTEM) is not a tool or platform but a strategic programme that integrates threat intelligence, attack surface management, vulnerability prioritisation, and validation techniques like red teaming or breach simulation.
Unlike traditional AI, agentic systems have goal-oriented autonomy, situational awareness, and collaborative decision-making traits. Think of them as proactive digital analysts embedded in your CTEM loop.

Agentic AI Systems: The Rise of Over-Autonomous Security Risks

1 July 2025 by Krishna

Artificial Intelligence (AI) is no longer just a tool—it’s becoming a decision-maker. With the emergence of Agentic AI Systems—AI with the ability to independently plan, act, and adapt across complex tasks—organisations are entering uncharted territory. While this autonomy promises operational efficiency, it also introduces over-autonomous risks that challenge traditional cybersecurity protocols.
For C-Suite executives and penetration testers alike, understanding the evolution of AI from a predictive model to a proactive actor is no longer optional—it’s imperative. The very qualities that make agentic systems powerful—initiative, goal-seeking behaviour, and environmental awareness—also make them vulnerable to sophisticated threats and capable of causing unintentional damage.

EEAT Meets Agentic AI: Building Trust and Authority in the Age of Autonomous Intelligence

22 June 2025 by Krishna

In an era defined by algorithmic decision-making, synthetic content, and digital hyper-efficiency, the emergence of Agentic Artificial Intelligence (AI) represents a monumental shift for businesses worldwide. Unlike traditional AI tools, which are reactive and rely on manual input, Agentic AI operates autonomously. These systems can pursue goals, make decisions, and adapt in real time—effectively becoming intelligent agents embedded within organisational workflows.