Close Menu
    Trending
    • STOP Building Useless ML Projects – What Actually Works
    • Credit Risk Scoring for BNPL Customers at Bati Bank | by Sumeya sirmula | Jul, 2025
    • The New Career Crisis: AI Is Breaking the Entry-Level Path for Gen Z
    • Musk’s X appoints ‘king of virality’ in bid to boost growth
    • Why Entrepreneurs Should Stop Obsessing Over Growth
    • Implementing IBCS rules in Power BI
    • What comes next for AI copyright lawsuits?
    • Why PDF Extraction Still Feels LikeHack
    AIBS News
    • Home
    • Artificial Intelligence
    • Machine Learning
    • AI Technology
    • Data Science
    • More
      • Technology
      • Business
    AIBS News
    Home»Machine Learning»Crafting My Vision as an AI Security Engineer -Day 2 | by Troy | Jan, 2025
    Machine Learning

    Crafting My Vision as an AI Security Engineer -Day 2 | by Troy | Jan, 2025

    Team_AIBS NewsBy Team_AIBS NewsJanuary 3, 2025No Comments3 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    Yesterday, I shared the beginning of my journey into turning into an AI Safety Engineer. At the moment, I wish to take a step again and mirror on how my experiences and pursuits have formed this path and why I’m so enthusiastic about combining AI and cybersecurity.

    I’ve all the time been fascinated by the interaction between people and expertise. Throughout my undergrad, I explored synthetic intelligence and machine studying by way of coursework, gaining foundational information that has stayed with me. In my skilled roles, I’ve had the chance to work with cutting-edge instruments like SIEM, SOAR, and XDR platforms, a lot of which leverage machine studying to reinforce decision-making.

    From automating mundane duties to analyzing advanced safety incidents, I’ve seen firsthand how AI can remodel cybersecurity workflows. These experiences have solidified my perception that AI isn’t only a instrument, it’s a companion.

    AI’s potential in cybersecurity is immense, however it comes with challenges. Menace actors are additionally leveraging AI, creating adversarial programs and creating assaults like AI immediate injections. These evolving threats require safety professionals who perceive how AI works and methods to defend towards its misuse.

    For me, this isn’t nearly studying instruments or theories, it’s about constructing a bridge between automation and instinct. I’m excited to discover how AI programs can study, adapt, and associate with us to create safer digital environments.

    1. Develop Arms-On Experience: Past theoretical information, I purpose to grasp sensible instruments and methods in AI safety. This contains diving deeper into SOAR platforms, experimenting with ML-driven menace detection, and exploring new applied sciences.
    2. Construct a Digital Companion: One among my long-term targets is to create an AI assistant that may assist with cybersecurity duties. A mix of automation and creativity that mirrors the digital pets and programs I liked in my youth.
    3. Share and Study: I would like this journey to be collaborative. By documenting my progress, I hope to attach with others who’re navigating related paths and study from their experiences.

    The street to turning into an AI Safety Engineer isn’t simple, however it’s one I’m wanting to journey. As I dive deeper into this journey, I’ll be sharing the insights, challenges, and successes I encounter alongside the best way. If you happen to’ve labored with AI in cybersecurity or are curious concerning the discipline, let’s join!

    Right here’s to a different step ahead in understanding and shaping the way forward for AI in safety. Keep tuned for Day 3!



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleCourt strikes down US net neutrality rules
    Next Article Mastering Sensor Fusion: Color Image Obstacle Detection with KITTI Data — Part 2 | by Erol Çıtak | Jan, 2025
    Team_AIBS News
    • Website

    Related Posts

    Machine Learning

    Credit Risk Scoring for BNPL Customers at Bati Bank | by Sumeya sirmula | Jul, 2025

    July 1, 2025
    Machine Learning

    Why PDF Extraction Still Feels LikeHack

    July 1, 2025
    Machine Learning

    🚗 Predicting Car Purchase Amounts with Neural Networks in Keras (with Code & Dataset) | by Smruti Ranjan Nayak | Jul, 2025

    July 1, 2025
    Add A Comment
    Leave A Reply Cancel Reply

    Top Posts

    STOP Building Useless ML Projects – What Actually Works

    July 1, 2025

    I Tried Buying a Car Through Amazon: Here Are the Pros, Cons

    December 10, 2024

    Amazon and eBay to pay ‘fair share’ for e-waste recycling

    December 10, 2024

    Artificial Intelligence Concerns & Predictions For 2025

    December 10, 2024

    Barbara Corcoran: Entrepreneurs Must ‘Embrace Change’

    December 10, 2024
    Categories
    • AI Technology
    • Artificial Intelligence
    • Business
    • Data Science
    • Machine Learning
    • Technology
    Most Popular

    Why Micro-Influencers Are Beating Celebrities at Their Own Game

    March 30, 2025

    Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed

    May 23, 2025

    Stop the Count! Why Putting A Time Limit on Metrics is Critical for Fast and Accurate Experiments | by Zach Flynn

    January 1, 2025
    Our Picks

    STOP Building Useless ML Projects – What Actually Works

    July 1, 2025

    Credit Risk Scoring for BNPL Customers at Bati Bank | by Sumeya sirmula | Jul, 2025

    July 1, 2025

    The New Career Crisis: AI Is Breaking the Entry-Level Path for Gen Z

    July 1, 2025
    Categories
    • AI Technology
    • Artificial Intelligence
    • Business
    • Data Science
    • Machine Learning
    • Technology
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2024 Aibsnews.comAll Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.