Agentic-AI-SOC-KrishnaG-CEO

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

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).

Security-Logs-KrishnaG-CEO

Security Logging and Monitoring Failures: A Comprehensive Guide for Software Developers, Architects, and Security Analysts

Security logging involves the systematic recording of events within a system, application, or network. Monitoring, on the other hand, refers to actively reviewing and analysing these logs to detect anomalies or malicious activities.

OS-Command-Injection-KrishnaG-CEO

OS Command Injection: The Hidden Chink in Your Armour

An OS command injection vulnerability is akin to a hidden backdoor in your system. It allows malicious actors to infiltrate your network by injecting code that executes commands directly on your operating system.

EDR-MDR-XDR-KrishnaG-CEO

Navigating the Cybersecurity Maze: EDR, MDR, XDR – Understanding Your Options

As a C-level executive, you understand the importance of robust cybersecurity. However, choosing the proper defence can feel daunting, given the complex array of acronyms like EDR, MDR, and XDR.