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DASA Intelligent Continuous Security (ICS) - Including Exam

SS Course: GK831191

Course Overview

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The DASA Intelligent Continuous Security Certification teaches the skills, mindset, practices, and tools needed to utilize AI to reduce complexity, automate workflows, and enhance agility in threat detection and response for your entire lifecycle.

Bridge current challenges by enhancing both pre-production security (DevSecOps) and in-production security (SecOps). DASA ICS is designed to be relevant for both Development and Security teams, addressing a critical need that current solutions aren t fully meeting.

                                                                  

Scheduled Classes

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01/21/27 - GVT - Virtual Classroom - Virtual Instructor-Led
04/21/27 - GVT - Virtual Classroom - Virtual Instructor-Led

Outline

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Module 1: Foundations of SecOps, DevSecOps, and Intelligent Continuous Security

  • Explain the current security threat landscape, the foundational concepts of SecOps and DevSecOps frameworks, and how gaps in these frameworks have led to the development of Intelligent Continuous Security.
  • Classify modern cybersecurity threats, including ransomware, supply chain risks, and phishing.
  • Compare SecOps and DevSecOps limitations in addressing advanced cybersecurity threats.
  • Summarize how ICS enhances security by bridging SecOps and DevSecOps gaps.

Module 2: Fundamentals of Intelligent Continuous Security

  • Summarize the Intelligent Continuous Security framework, focusing on its unified approach and highlighting how it builds on the principles and practices of SecOps and DevSecOps security frameworks.
  • Define the ICS framework, its principles, and core security practices.
  • Compare ICS to DevSecOps and SecOps, highlighting key differences and benefits.
  • Explain how ICS integrates security into workflows while ensuring agility.

Module 3: Intelligent Continuous Security Technologies and Integrations

  • Apply technologies to implement Intelligent Continuous Security and how they are integrated into an inter-working system to orchestrate and automate security practices end-to-end across the software lifecycle.
  • Apply security tools to CI/CD pipelines for continuous security coverage.
  • Explain AI s role in automating security testing and analyzing results.
  • Demonstrate security tool integration within an ICS security pipeline.

Module 4: Intelligent Continuous Security Measures of Progress and Success

  • Apply Intelligent Continuous Security capability maturity models, measures of progress and success, and governance strategies to assess, direct, and evolve Intelligent Continuous Security implementation.
  • Identify ICS maturity levels to assess capabilities and guide implementation evolution.
  • Measure effectiveness of vulnerability detection, exploit response, and mitigation strategies.
  • Discuss ICS ROI measurement and governance policy monitoring for security success.

Module 5: Transforming to Intelligent Continuous Security

  • Analyze typical challenges in Intelligent Continuous Security transformations and develop strategies to overcome them while designing effective roles, skills, and team topologies to ensure successful implementation.
  • Identify objectives of each step in the Seven-Step ICS Transformation Framework.
  • Analyze the framework s application to SolarWinds to address transformation challenges.
  • Design an ICS transformation strategy tailored to specific organizational needs.

Module 6: Sustaining and Evolving Intelligent Continuous Security

  • Evaluate long-term strategies to sustain and evolve ICS practices in response to changing technological and organizational landscapes.
  • Identify challenges in sustaining ICS and their impact on long-term effectiveness.
  • Develop strategies for continuous improvement and scaling ICS over time.
  • Evaluate emerging trends like AIOps and AI in ICS sustainability.

    Prerequisites

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    Basic familiarity with Agile, Scrum, and DevOps framework is beneficial.

      Who Should Attend

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      • Security, Ops and Dev Leaders
      • Operations Leaders and Practitioners
      • QA Leaders and Practitioners
      • DevOps & Automation Engineers
      • Software Managers and Team Leads
      • Ops Architects and Engineers
      • Cloud Engineers
      • Data Engineers and Scientists
      • Site Reliability Engineers