2d ago · 5 min read · import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; A recent report from Security Boulevard, based on a Gravitee study, puts a number on the AI agent security gap: approximately 1.5 million AI agents operating in large US and UK org...
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Mar 3 · 58 min read · Why risk identification fails, what it fails to produce, and how to do it correctly ABSTRACT Risk identification is the most consequential and the most consistently misexecuted step in information se
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Feb 21 · 6 min read · The AI Value Paradox in BFSI Artificial Intelligence adoption in banking and insurance has accelerated dramatically, yet a persistent value paradox remains: while investment levels are rising, measurable enterprise-wide returns vary significantly acr...
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Dec 11, 2025 · 4 min read · In modern financial markets, trading speed and computational intelligence are no longer luxuries—they are prerequisites for survival. As algorithmic and high-frequency trading (HFT) strategies dominate global exchanges, the ability to process informa...
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Nov 11, 2025 · 5 min read · Ever wondered how apps like Zomato know your favourite cuisine, or how Netflix recommends shows you actually like? Behind the scenes, it’s all about how data is modelled, stored, and optimised. Let’s break it down. What Is Data Modelling? Imagine yo...
Join discussionOct 29, 2025 · 8 min read · The chasm between C-suite confidence and frontline caution presents one of the most critical threats to modern enterprise resilience. A 2025 security assessment revealed a stark truth: 45% of C-level executives felt "very confident" in their organiza...
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Sep 23, 2025 · 3 min read · #appsec #securityawareness #enduser #threat #risk #attackers #attacksurface #vulnerability #attack Prasun Das Summary Define core security terms. Understanding and usage of key terms. Recognize threats, vulnerabilities, exploits, and attacks. T...
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Sep 18, 2025 · 6 min read · Fraud detection and risk prediction are vital in sectors like finance, insurance, cybersecurity, and e‑commerce. Fraudulent behaviour is becoming more sophisticated, adaptive, and hard to distinguish from legitimate activity. Traditional rule‑based s...
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Aug 25, 2025 · 4 min read · Smart credit monitoring applies predictive analytics to assess borrower risk in real time and anticipate potential defaults before they occur. Traditional credit scoring primarily evaluates past behavior, producing static profiles that may fail to de...
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Jul 28, 2025 · 4 min read · In today’s increasingly dynamic financial ecosystem, traditional methods of credit monitoring are proving insufficient for capturing the real-time complexities of consumer and corporate behavior. Credit scores, long the standard for assessing risk, o...
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