Protect you Enterprise Cyberworld with ML / Deep learning techniques

With almost all enterprises on the cloud today, enterprise cyber attacks are a reality we cannot ignore. Enterprise security is now more complex than ever before: most enterprise networks comprise hybrid environments with a custom mix of on-premise, data center and SOC installations. Heterogeneity is the key challenge coupled with say, Ransomware attack, financial fraud, theft of sensitive information, service disruption, economic disruption, even state-sponsored espionage. The traditional SIEM solutions based on past history and rules often limit companies to what is known but ever growing and innovative cyber attacks getting evolved are never understood and proactively hunted down. Machine Learning based on deep learning cocktailed with several machine learning techniques opens up an exciting area to effectively detect and prevent such attacks. Due to the vast types and nature of attacks, often one technique is not a solutions. So we as a team of passionate ML enthusiasts were spending enormous amount of time researching, classifying and finding effectively solutions in the exciting world of "Managed Detection and Prevention" based on our cocktail of Deep learning and ML techniques. This session is sharing our experience, learning, mistakes from which we innovated and path that we have taken

 
1 favorite thumb_down thumb_up 3 comments visibility_off  Remove from Watchlist visibility  Add to Watchlist
 

Outline/Structure of the Talk

- Cyber security challenges for Enterprises

- Growing threats

- Current solutions and limitations

- Proactive threat hunting with ML techniques

- Key Learning

- Roadmap and opportunities

Learning Outcome

- Deep understanding of cyber security threats

- Limitations of current options

- Opportunity for ML in Cyber security

Target Audience

Enterprise CIOs, ML practitioners

Prerequisites for Attendees

Understanding on cyber world and threats, ML basics, deep learning basics

schedule Submitted 1 month ago

Public Feedback

comment Suggest improvements to the Speaker
  • Dr. Vikas Agrawal
    By Dr. Vikas Agrawal  ~  2 weeks ago
    reply Reply

    Dear Santhosh: Thanks for your interesting proposal. The topic is interesting. Can we please add information to the proposal regarding

    1. Which of the speakers will be covering what part of the talk, and

    2. What topics will be covered for how long,

    3. What specific algorithms do you plan to discuss, and what datasets have you used with those algorithm pipelines?

    In addition, it will really help if we have a video of you and your team introducing the topic or from your previous speaking engagements posted with the proposal, please. Warm Regards, Vikas

    • SANTHOSH GEORGE
      By SANTHOSH GEORGE  ~  2 weeks ago
      reply Reply

      Hi Vikas

      Thanks.

      1. Which of the speakers will be covering what part of the talk, and

      >> I will cover

      Cyber security challenges for Enterprises

      - Growing threats

      - Current solutions and limitations

      - Roadmap and opportunities

      Anuj and Manjunath will cover

      Proactive threat hunting with ML techniques including a demo

      - Key Learning

       

      2. What topics will be covered for how long,

      Majority of the time will be on the ML solutions, techniques. Expect it to tbe covered in 30-35 minutes following by 5-10 minutes for Q & A

       

      3. What specific algorithms do you plan to discuss, and what datasets have you used with those algorithm pipelines?

      >> We use a cocktail of deep learning, supervised and unsupervised model based on the type proactive threats with extensive customisations

      The data is huge running to millions of records from live SIEM / SOC production environments . These are logs,  24x7 with devices. Any IP / confidential info will be removed or masked.

      I am a key note speaker from Oracle Openworld SFO for many years. You can search "Santhosh George Oracle ".

      https://www.oracle.com/technetwork/apps-tech/ebusiness/171277.pdf

       

       

      • Dr. Vikas Agrawal
        By Dr. Vikas Agrawal  ~  2 days ago
        reply Reply

        Thanks, Santhosh. It is a pleasure to see your work after Oracle! Warm Regards, Vikas