@infrashield
About
I’m a Security Engineer with 12+ years of experience spanning across the security spectrum — from Application Security and DLP to Email Security, Threat Modeling, and Detection Engineering.
I started out in AppSec and secure design reviews, grew through DLP and email controls, and evolved into a threat-focused engineer obsessed with solving real-world problems using data, cloud, and smart detection.
🔍 These days, I specialize in building scalable, threat-informed detection pipelines for cloud-native, container-heavy environments — where Detection Engineering meets Data Engineering. Whether it’s turning packets into signal or crafting long-term log ingestion strategies, I love working at the intersection of:
💡 Threat detection
🛰️ Cloud & Kubernetes
🧠 Data pipelines
With hands-on experience across GCP, AWS, Kubernetes, Kafka, and behavioral analytics, I bring deep technical understanding paired with a strong sense of mission.
I'm a huge advocate for women in cybersecurity, and I genuinely love what I do. This isn’t just a career — it’s a passion. Whether it’s breaking down a complex detection problem, helping someone break into the field, or pushing for better representation, I bring everything I’ve got.
I believe in doing meaningful work, mentoring with intention, and showing up as my full self in the field.
Available for
Detection consulting • Security/data engineering collabs • Mentoring women in cyber • K8s security • Speaking opportunities
Manju Lalwani's blogs
Recently published
Building a Simple AI Log Analyzer in Python — What I Learned from the Bugs
Mar 13 · 4 min read · For a small learning experiment, I wanted to build a Python tool that watches Linux logs in real time and analyzes them using a local LLM. The idea was simple: Capture logs → analyze them with AI → s
Join discussion
Supply Chain Cybersecurity: Effective Incident Response Guide
Oct 2, 2025 · 8 min read · Introduction Over the past few years, software supply-chain attacks have become one of the most disruptive and damaging trends in cybersecurity. Instead of directly targeting hardened corporate networks, adversaries now compromise the software compon...
Join discussionWhere Detection Engineering Meets Data and ML: A Blueprint for Modern Threat Detection
Apr 11, 2025 · 3 min read · In an era where cyber threats are more evasive, automated, and persistent than ever, relying solely on traditional detection methods just doesn't cut it. As defenders, we’re expected to outsmart threat actors using an ever-growing sea of logs, alerts...
Join discussion