Transforming from Security Silos to AI-Assisted Continuous Security – Predict 2025
This session introduces how AI can revolutionize the way we approach Continuous Security, end-to-end, across development and operations. It prescribes how AI-augmented tools, and AI-Assisted workflow practices can enhance integrated security automation practices, enable faster detection of vulnerabilities, and improve incident response. The session provides new and unique, practical, prescriptive insights, with customer use cases, on how organizations can transition, with AI-assistance, from traditional, silo ’ed DevSecOps and SecOps models to an AI-assisted Continuous Security approach that’s more efficient, proactive, and resilient.
Today we are facing a new wave of cyberattacks where AI is playing a central role. Criminals are using AI-driven attacks that dynamically adapt and improve, making them harder to detect and combat. Recent advances in generative and predictive AI-augmented tools, and AI-assisted workflows, facilitate the transformation, which previously would have been considered too complex, and too time-consuming to attempt by most organizations.
This session will cover how to:
1. Implement AI-Assisted Continuous Security across the entire software lifecycle, ensuring a seamless and proactive approach to threat management and security automation.
2. Unify DevSecOps and SecOps into a cohesive AI-driven security framework that covers all stages of the value stream, going beyond traditional siloed security models.
3. Select and integrate AI-powered tools for tasks such as vulnerability detection, automated compliance checks, and real-time incident response, improving security in both development pipelines and production environments.
4. Measure the ROI and business value of adopting AI-Assisted Continuous Security, understanding its impact on reducing costs, improving efficiency, and enhancing overall security posture.
5. Align security strategies with organizational goals, fostering effective collaboration between DevSecOps and SecOps teams to achieve continuous automated security across the enterprise.
6. Apply best practices and leverage real-world case studies to mitigate risks, avoid breaches, and stay ahead of evolving cyber threats using AI.
