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Arjun Ramakrishnan

Arjun Ramakrishnan

Cybersecurity Architect with more than 17 years of experience in the Information Security domain, I currently hold the position of Principal Cyber Security Architect. I am responsible for developing AI security frameworks and guidance, technology evaluations, managing enterprise security architecture, guiding and approving IT projects and enhancing the data protection domain by focusing on zero trust methodology.

Yet another Phishing Incident Response Playbook

Yet another Phishing Incident Response Playbook

After some discussions with peers from other organizations, I was surprised by the lack of automation and end-to-end process for managing phishing incidents. So, without much preamble, let's jump in t

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Zero Trust - Application Security

Zero Trust - Application Security

"You Hear That Mr. Anderson? That Is The Sound Of Inevitability!" This will be Part 3 of my series of articles on Zero Trust. Applications perhaps receive the least amount of attention when it com

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Zero Trust - Data Security

Zero Trust - Data Security

"We live in a twilight world, and there are no friends at dusk" This will be Part 2 of my series of articles on Zero Trust. And let's start with data, the "chewy core" of the traditional M&M Infor

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Zero Trust - Device Security

Zero Trust - Device Security

"Do you read me, HAL?" In my previous article on Zero Trust for Applications, I concluded with how we need to focus on ZT approach for code compile/build and for application execution. Next, let's

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Zero Trust

Zero Trust

Zero Trust is a term attributed to Stephen Marsh and mentioned in his '94 doctoral thesis "Formalising Trust as a Computational Concept" ([link to original thesis](https://dspace.stir.ac.uk/bitstr

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Zero Trust - Network Security

Zero Trust - Network Security

"Know the enemy and know yourself" Know the enemy and know yourself is perhaps the most well known quote from Art of War. In Cybersecurity a lot of focus is given to the

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Microsoft Defender for Cloud Apps - DLP Policies

Microsoft Defender for Cloud Apps - DLP Policies

Microsoft Defender for Cloud Apps The Microsoft Defender for Cloud Apps or MDCA offers powerful DLP capabilities as part of its CASB offering, especially if your organization owns E5 licenses and

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Zero Trust - Identity as a Perimeter

Zero Trust - Identity as a Perimeter

"Sometimes, it's easier living the lie" If we ever needed to jumpstart the move to "Identity-as-a-Perimeter", COVID-19 certainly made sure it happened. For more than a year most of the global work

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The Trust Algorithm

The Trust Algorithm

Wait, doesn't Zero Trust mean no trust? A common misconception about zero trust is that there should be no trust. Rather, the philosophy of zero trust directs us to start with zero implicit trus

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AI Security Maturity - Part 1

AI Security Maturity - Part 1

Artificial Intelligence is rapidly transforming business operations introducing novel AI system risks to the enterprise. Organizations deploying AI solutions face unique security challenges that tradi

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AI Security Maturity - Part 2

AI Security Maturity - Part 2

In part 1 of this article, we proposed an AI Security Maturity framework to help organizations address the challenge of evaluating and planning their AI Security

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Evolution of OWASP LLM Risks: 2023 to 2025

Evolution of OWASP LLM Risks: 2023 to 2025

As large language models (LLMs) have become deeply embedded in critical enterprise systems and public-facing applications, the security landscape surrounding them has evolved as well. The [OWASP Top 1

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Applying Zero Trust to GenAI Apps

Applying Zero Trust to GenAI Apps

Introduction: What is Zero Trust & Why Does it Matter for GenAI? Zero Trust is a security framework based on the principle of "never trust, always verify." Instead of assuming that actors inside a

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AI Agent Threat Modelling

AI Agent Threat Modelling

Decoding the Matrix: A CISO's Guide to Threat Modeling Agentic AI The paradigm of Artificial Intelligence is rapidly shifting towards more autonomous systems known as Agentic AI. These AI agent

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AI for Cybersecurity

AI for Cybersecurity

Introduction In today's cybersecurity arms race, threat actors are no longer lone wolves or backroom hobbyists. They are leveraging the full might of generative AI—automating phishing campaigns, wr

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EchoLeak and the Domino Effect: How Small Flaws Unleash Critical AI Exploits

EchoLeak and the Domino Effect: How Small Flaws Unleash Critical AI Exploits

"Sometimes, the smallest crack can bring down the tallest wall."Executive Summary The recent discovery of "EchoLeak" (CVE-2025-32711) in Microsoft 365 Copilot by Aim Labs has sent ripples thr

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Signing AI Models for verification

Signing AI Models for verification

Introduction With the proliferation of AI Models, the need for secure model distribution has become increasingly critical. There are more than million models available on HuggingFace, which has be

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AI Security Maturity Model

AI Security Maturity Model

In part 1 and part 2 of our AI Security Maturity series, we explored a framework for organizations to assess, benchmark,

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