ethical hacking

Business-Logic-Attacks-KrishnaG-CEO

Business Logic Attacks: A Hidden Threat to C-Suite Leaders

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At their core, business logic attacks exploit **gaps or errors in the workflows or rules governing an organisation’s operations**. These flaws are not due to programming errors but rather the **misuse of legitimate system features** or **misconfigured processes**. Attackers manipulate these weaknesses to achieve their objectives, such as:

– Circumventing security measures
– Accessing unauthorised data
– Fraudulently acquiring goods or services

OffSec-Board-KrishnaG-CEO

Board of Directors and Offensive Security: Navigating Cybersecurity Challenges at the Governance Level

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The Board of Directors is responsible for overseeing the implementation of offensive security strategies and ensuring that they are effectively managed. This requires a proactive approach to risk management, where the Board plays an active role in setting the tone for cybersecurity governance and ensuring that appropriate resources and expertise are allocated to address identified risks.

Offensive security refers to the proactive approach of identifying vulnerabilities and potential threats within an organisation’s systems and networks. It involves techniques such as vulnerability assessments, penetration testing, malware analysis, cyber forensics, and reverse engineering. The goal is to simulate real-world attacks, uncover weaknesses, and develop strategies to counteract these threats before they are exploited by malicious actors.

CAC-KrishnaG-CEO

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

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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

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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.

Threat-Modelling-KrishnaG-CEO

Threat Modelling: A Blueprint for Business Resilience

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Threat modelling is a systematic process of identifying potential threats and vulnerabilities within a system or application. It involves a meticulous examination of the system’s architecture, data flow, and security requirements to assess potential risks. By proactively identifying and mitigating threats, organisations can significantly reduce the likelihood of successful attacks and their associated financial and reputational consequences.