Information Security

macOS-Forensics-VAPT-KrishnaG-CEO

Mac Forensics in VAPT: A Strategic Guide for C-Suite Executives

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Mac forensics is the discipline of acquiring, analysing, and interpreting digital evidence from Apple macOS devices. It involves techniques and tools specifically designed to handle the intricacies of macOS file systems, memory architecture, and hardware security.

VAPT is a proactive methodology focused on identifying, assessing, and exploiting security vulnerabilities in a controlled manner. It is forward-looking and preventative in nature.
Digital Forensics, on the other hand, is a reactive methodology focused on collecting, analysing, and preserving data related to security incidents, breaches, or legal investigations. It is retrospective and evidence-driven.
On Apple Macintoshes, where encryption, proprietary system configurations, and closed hardware are prevalent, these two fields must work in tandem to ensure both prevention and response are covered comprehensively.

Agentic-AI-Blockchain-KrishnaG-CEO

Agentic AI in Blockchain, Hyperledger, Digital Rupee, and Digital Yuan: A Strategic Guide for C-Suite Executives

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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.

Agentic-AI-SOC-KrishnaG-CEO

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

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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).

Cloud-Native-Attacks-KrishnaG-CEO

The Rise of Cloud-Native and Identity-Enabled Attacks: A Strategic Wake-Up Call for Cloud Architects

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The average enterprise today utilises over 90 security tools. At the same time, 78% of organisations operate in multi-cloud environments, employing two or more providers such as AWS, Microsoft Azure, and Google Cloud Platform. These environments offer varied IAM configurations, creating inconsistencies that can be exploited.

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📌 Elastic Security (Elastic Stack): Agentic AI Meets Search-Powered Cyber Defence

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Elastic Security, built atop the Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats), offers a search-first, AI-driven cybersecurity platform for detecting, investigating, and responding to threats at scale. It is widely adopted by enterprises seeking unified security, observability, and data analytics, underpinned by Agentic AI and open data models.