BHASKAR-ID-KrishnaG-CEO

BHASKAR ID: A Gateway to Indian Startup Knowledge

BHASKAR ID, or the Bharat Startup Knowledge Access Registry, is a comprehensive digital platform designed to connect Indian startups with the vast pool of knowledge and resources available in the country. It serves as a central repository where startups can access information on various aspects of their business, from funding opportunities to mentorship and market insights.

EavesDropping-KrishnaG-CEO

Eavesdropping: A Silent Threat to MSME Business Owners

Eavesdropping, or passive surveillance, is a clandestine method that involves intercepting and monitoring communications without the knowledge or consent of those involved. This silent threat can pose significant risks to businesses, particularly those with confidential data and mission-critical operations.

CAC-KrishnaG-CEO

Client Acquisition Costs (CAC): A Comprehensive Guide for MSMEs

Client Acquisition Costs (CAC) are crucial for any business, but they are especially important for MSMEs. CAC measures the total cost of acquiring new clients, including all marketing, sales, and customer onboarding expenses.
There are two main ways to calculate CAC. The first method is dividing the total cost of acquiring new clients by the number of new clients. The second method is to divide the total cost of marketing and sales by the number of new customers acquired.

Adversarial-ML-KrishnaG-CEO

Adversarial Machine Learning Attacks: A C-Suite Guide to Mitigating Risks

In today’s data-driven world, machine learning (ML) has become an indispensable tech for businesses across various industries. From fraud detection to customer segmentation, ML algorithms extract valuable insights and make informed decisions. However, the increasing reliance on ML systems has also made them a prime target for malicious actors. Adversarial machine learning attacks exploit the vulnerabilities of ML models to compromise their integrity and functionality. This blog article will delve into the intricacies of adversarial machine learning attacks, exploring their various types, real-world implications, and effective mitigation strategies. We will adopt a C-suite-centric perspective, focusing on the business impact, ROI, and risk mitigation associated with these attacks.

SecureRisk-KrishnaG-CEO

Insufficient Security Patching: A Critical Oversight

In today’s interconnected world, where information assets are increasingly valuable, ensuring robust security is paramount. One of cybersecurity’s most fundamental yet often overlooked aspects is the timely application of security patches. Insufficient security patching, the failure to address known vulnerabilities and security flaws in software, systems, or devices, poses a significant threat to organisations of all sizes.