Minimus

VP of Solutions Architecture

Patrick Maddox 400 x 400

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Security teams today spend the bulk of their time reacting — triaging vulnerabilities, chasing alerts, and trying to prioritize which issues to fix first. The rise of containers and cloud-native architectures has only amplified the problem, multiplying the number of artifacts and attack vectors.



Now, with organizations rapidly adopting AI, risks are further compounded. AI can accelerate code creation and deployment, but it also increases the chance that misconfigurations, insecure patterns, and exposed assets slip into production.



This webcast will examine why traditional “scan and prioritize” models no longer cut it, and what it takes to shift toward true risk reduction.



Attendees will gain prescriptive guidance on how to move beyond endless triage by emphasizing secure design upfront, integrating DevSecOps best practices, and reducing reliance on non-deterministic fixes after the fact.
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Attendees will learn:
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<li>Why containerization, cloud-native adoption, and AI-driven development have multiplied vulnerabilities and exposure risks.</li>
<li>Practical strategies for moving beyond endless prioritization to actual risk reduction.</li>
<li>How secure design practices and modern DevSecOps can shrink the attack surface more effectively than after-the-fact fixes.</li>
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