ROI in cybersecurity Archives

Explainable AI in VAPT: Unpacking Business Logic for Penetration Testers

1 August 2025 by Krishna

In the ever-evolving cybersecurity landscape, penetration testing (pentesting) has transitioned from being a compliance checkbox to a strategic imperative. With Explainable AI (XAI) entering the cybersecurity fold, particularly within Vulnerability Assessment and Penetration Testing (VAPT), there’s a transformative opportunity for businesses to align security outcomes with strategic insights. But the real question is — can Explainable AI truly assist penetration testers in understanding business logic vulnerabilities?

Agentic AI in Kubernetes: Unleashing Autonomy in Cloud-Native Architectures

31 May 2025 by Krishna

The emergence of Agentic Artificial Intelligence (AI) is set to redefine how modern infrastructure is deployed, managed, and scaled—especially within Kubernetes (K8s) environments. At its core, Agentic AI introduces autonomous, goal-driven agents capable of planning, executing, and adapting within dynamic cloud-native ecosystems. For Software Architects and C-Level Executives, this is not just another incremental leap in automation—it is a paradigm shift that profoundly impacts ROI, operational efficiency, and cybersecurity postures.

Agentic AI in Recon: The Future of Strategic VAPT for C-Suite Decision-Makers

30 May 202530 May 2025 by Krishna

Agentic AI in Recon: The Future of Strategic VAPT for C-Suite Decision-Makers Executive Summary In a hyperconnected world dominated by relentless cyber threats, C-Suite executives can no longer afford to rely on traditional, reactive cybersecurity methods. Enter Agentic AI, a transformative approach to Artificial Intelligence, and its integration with Open-Source Intelligence (OSINT) in the domain …

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Agentic AI in the Security Operations Centre (SOC): A VAPT-Centric Approach to Cyber Defence

24 May 2025 by Krishna

Integrating Agentic AI into VAPT-centred SOCs brings unparalleled advantages:
a. Automated Reconnaissance
Agentic AI can autonomously conduct OSINT (Open Source Intelligence), scan attack surfaces, and identify entry points—at machine speed.
b. Dynamic Threat Modelling
By learning from prior attacks, AI agents simulate adversarial behaviour, improving the SOC’s capability to predict and neutralise evolving tactics.
c. Adaptive Exploitation Engines
In penetration testing, Agentic AI can mimic threat actors by crafting payloads, exploiting vulnerabilities, and moving laterally across systems—helping security teams understand real-world attack paths.
d. Real-Time Remediation Guidance
Post-exploitation, Agentic AI offers remediation steps customised to the specific vulnerability and environment, accelerating patch management and reducing Mean Time to Remediate (MTTR).

Understanding CWE-79: Cross-Site Scripting (XSS) in 2024 – A Strategic Guide for Software Architects and C-Suite Executives

6 March 2025 by Krishna

At its core, XSS exploits the trust a user places in a web application. By manipulating input fields, URLs, or other interactive elements, attackers can introduce scripts that execute commands, steal sensitive information, or alter website functionality.