Packt Publishing – Detection Engineering For AI Abuse 2026 BOOKWARE-LERNSTUF

                         .                                 .                   
              .         /-  .                .-.            .                  
 .. - - ___- _/ \____---' \\___---____-------- . ... . - _-- -\\_ ___--'-__ .. 
             /                          _____--- .                             
            //                         //                     .                
      _____//              ____.____  //                     /                 
  .///    //--. .. ------./         \/.-------.             //                 
    /    //___.__________/    .     //______ --.           //                  
   /    //    \   .      \   //  __//  .    \     .-.. . .-. -. ... - ..- ..-. 
  /    //    //  //     .   //   \    //    //.---. _____//.-----.             
 /  ._______    //_____//__//   //   //    //______/    //___ ---. .     .---. 
 \____//---/      //--.    /        //\_  //  .__      __.  /_____//________ . 
     // .--\_____//----   /    /___// /  .     \ /    //   //    //         \  
    //    . -- - --.      \___//  .. /  //_____//    //   //   _.     .    //  
    /          /         .---//   / _\_____   \/    //   //    //   //____///. 
   .                   . ----/     /     //   /    //   //    //    ___//.     
                            .     /\_________/    //\________//   //..         
        [ LERNSTUF ]             //   . ---//    //. .mR'24./    //            
                                //         .\___//----.   ..\___//             
                               //              //           .--//              
 .. - -  - -- --- _- _   __-  _/              /\\_____----- .. . .. ----. _- . 
                             .     .   -- ___/                                  
                                Packt Publishing
                       Detection Engineering For AI Abuse
                                      2026
            __.                                                ..            . 
 .. - -  - /- --- _- [   R E L E A S E   D E T A i L S   ]- . ./\ . - __./---' 
  Release Date : 2026-07-16
  Publisher    : Packt Publishing
  Title        : Detection Engineering For AI Abuse
  Year         : 2026
  Month        : 07
  Category     : Unknown
  Language     : English
  Section      : BOOKWARE
  Files        : 04 x 50 MB
               _                                             .                 
 .. - - ___- _/ \____--[   R E L E A S E   N O T E S   ] _-- -\\_ ___--'-__ .. 
              https://learning.oreilly.com/videos/-/9781808083693/
   In this engaging 45-minute workshop, learn how to detect and respond to AI
  abuse by building practical detection rules for prompt injection, jailbreak
    attempts, data exfiltration, API abuse, and shadow AI activity. Explore
      real-world incidents, MITRE ATLAS mappings, Sigma rule creation, and
     AI-focused monitoring strategies to strengthen enterprise AI security
   operations. What I will be able to do after this course Identify common AI
  abuse techniques including prompt injection, jailbreaks, data exfiltration,
 and API misuse Map AI threats to MITRE ATLAS and use structured frameworks for
      detection engineering Create and customize Sigma rules for detecting
  AI-related attacks across security platforms Implement logging, monitoring,
   and alerting strategies for AI applications and APIs Validate and improve
    detection rules while reducing false positives in AI security operations
      Course Instructor(s) Vandana Verma Sehgal is a cybersecurity leader,
 open-source contributor, and author specializing in DevSecOps, cloud security,
  AI security, and detection engineering. She actively contributes to multiple
     security communities and projects, helping organizations build secure
  development and detection practices at scale. Who is it for This workshop is
   designed for SOC analysts, detection engineers, security researchers, blue
   team professionals, DevSecOps practitioners, and AI security teams. It is
  particularly valuable for professionals looking to build practical detection
   capabilities for AI systems and strengthen monitoring against emerging AI
                               abuse techniques.
                _       .                                 __.                  
 .. - - _//- ___\____---' [   R E C R U i T i N G   ] . - _\_ ___--'-_ -- -_ . 
                         iF YOU HAVE ANYTHiNG TO OFFER                         
                CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW               
              ...       .                                      ___.            
 .. - - ___- _/ \____--' \ [   G R E E T i N G S   ] _-------' \\___-- -  // . 
    GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE    
       STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE       
          _                                                   _             _  
 .. -_- -/_- __--\__ [   C O N T A C T   D E T A i L S   ] --- -___-- -  \ - . 
                         lernstuf [at] proton [dot] me                         
               .          .                    .-.                .            
 .. - - ___- _/ \____---' \\___-- .. - - ___- _/ \___----  -___-/__-- -  -- .  
           ._/       -     '                 -                 '    - .        

182M	001-Chapter_1_Red_Teaming_AI_In_Modern_AppSec
5.6M	001-Chapter_1_Red_Teaming_AI_In_Modern_AppSec/001-course_overview.mkv
176M	001-Chapter_1_Red_Teaming_AI_In_Modern_AppSec/002-building_detection_rules_to_identify_ai_abuse_and_llm_attacks.mkv
652K	LERNSTUF
648K	LERNSTUF/lernstuf_introduction_2025.rar
182M	total