Ashwin Patil
@ashwinpatil
Followers
2K
Following
4K
Media
126
Statuses
966
Senior Security Researcher @Microsoft Tweets my own opinions, not my employers. #DFIR #datascience #threathunting #MicrosoftSentinel #python 🐍 #rstats
Deep in to the logs..
Joined September 2009
🚨 New Blog Alert 🚨.Excited to announce our latest blog "Anomaly detection and Explanation with Isolation Forest and SHAP using Microsoft Sentinel Notebooks" is now live! 🛡️📔 #sentinel #datascience
techcommunity.microsoft.com
In this blog, we will demonstrate how you can identify anomalous Windows logon sessions using an Isolation Forest algorithm with an Azure ML studio notebook...
2
27
69
RT @Cyb3rWard0g: 📢 Thrilled to be teaching with @fr0gger_ at @BlackHatEvents #BHUSA 🌟. 🚀 Boost your career by learning how to apply Python….
0
11
0
RT @jupyterthon: 🚨 @ashwinpatil talking about the complexity of creating data applications and his experience with @streamlit to find a sol….
0
1
0
RT @jupyterthon: 🚨Mark your 🗓️ Feb 15-16! #InfosecJupyterthon Online🔴. 📢 From Idea to Action: Building Data-Driven Security Tools with Stre….
0
4
0
RT @SANSDefense: Don't miss @aboutsecurity's talk on Hacking Proprietary Protocols with Pandas at @jupyterthon starting on the 15th! @SANSO….
0
5
0
RT @jupyterthon: 🚨Mark your 🗓️ Feb 15-16! #InfosecJupyterthon Online🔴. 📢Keynote: Barn Raising: Building a Community Around Jupyter Notebook….
0
7
0
Don't forget to register for our online conference and join the conversation on all things about infosec notebook and LLM ideas @jupyterthon
🚨 Registration is open for one of my favorite conferences of the year @jupyterthon ! ❤️. Thanks to @ianhellen, @ashwinpatil, @PeteABryan, and @fr0gger_, this event is possible once again!. 📢 A true community event, by the community and for the community. Looking forward to.
1
1
5
RT @Cyb3rWard0g: 🚨 Stepping into the world of Generative AI has been an eye-opening experience for me as a security researcher! ⚔️ If you h….
0
139
0
RT @Cyb3rWard0g: 💡I was curious about #LLMs & #Cybersecurity.🎯Goal: Better communicate & collaborate.♻️Method: Take notes, run experiments….
0
23
0
RT @pythontrending: pandas-ai - Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas,….
github.com
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. - sinaptik-ai/pandas-ai
0
58
0
RT @cloudanix: The final episode of Season 1 of Scale to Zero is here!.Thanks for sharing your in-depth knowledge about threat detection se….
0
5
0
RT @_r_netsec: Ransomware in the Cloud - A step by step breakdown
invictus-ir.medium.com
We have moved this blog to our own website. This allows free access for everyone.
0
31
0
RT @rootsecdev: Are you into cloud hacking? Got an MS Graph token but unsure what to do with it? Do you want to forge your own primary refr….
trustedsec.com
Access compromised Azure credentials to bypass MFA, gain OWA access, and conduct cloud penetration testing using stolen refresh tokens and Burp Suite Pro.
0
165
0
RT @DrAzureAD: The @BlackHatEvents #BHEU talk by me and @Cyb3rWard0g on how to prevent #ADFS #GoldenSAML attacks is now available on Youtub….
0
31
0
RT @olafhartong: At @falconforceteam we love automation. We apply this to a lot of our processes, including Detection Engineering. We will….
0
46
0
Wow. Great to see our recent tech community article about anomaly detection got recommended to read in the detection engineering newsletter!! .Been recent subscriber to this newsletter to keep track of all things about detections and happy to see this note.
0
1
9
💪 We've also included a demo dataset to showcase the capabilities of the notebook. 💪.With this, you can experience firsthand how Isolation Forest and SHAP can be used for anomaly detection and explanation. 🤖🕵️♂️🕵️♀️.
1
0
1
The second version is for SOC analysts, focusing on the output of SHAP values to help find out the reasoning behind the anomaly and accelerate the investigation process. 🔎👨💼👩💼
1
0
3
🎉 We've published two versions of the notebook to Github 🎉.The first version is for Data Scientists, containing multiple interactive visualizations to explore the dataset and tune the model parameters to adjust the noise. 🧑💻💻👩💻.
1
0
1