SOFTWARE

INTELLIGENT TECHNOLOGY

to deliver real-time feeds to block newly identified malicious packages before they enter the ecosystem. This proactive approach keeps the software supply chain secure and compliant while maintaining development velocity.

DevSecOps

Software Supply Chain Management in 2026 is an operational necessity. Rameez Edros, Account Director at CASA Software, explores how to master running a successful software supply chain using Veracode’ s guidance.

Fragmented security tools and manual remediation workflows exacerbate these challenges. When teams are forced to leave their primary development environment to check for security flaws, productivity drops. Delayed vulnerability resolution directly translates to increased exposure to risk and missed delivery dates. Scalable solutions that provide actionable insights to guide remediation and minimise false positives are required.

AI and automation

Rameez Edros, Account Director at CASA Software

AI is fundamentally reshaping how developers write code. AIassisted code generation tools accelerate development, but they also introduce new patterns of high-risk vulnerabilities at scale. However, AI also provides automated remediation capabilities. By utilising AI to speed up remediation, you can accelerate the burndown of technical debt and pinpoint the most critical assets to fix first.

Manual vulnerability detection cannot keep pace with modern release cycles. Advanced threat intelligence tools are a necessity

Veracode recommends securing applications continuously with a full embrace of DevSecOps. Security must be embedded early in the SDLC. Tools that integrate effortlessly into existing CI / CD pipelines enhance team efficiency without disruption. Continuous monitoring provides deep visibility into both direct and transitive dependencies, allowing engineering managers to make smarter pipeline decisions.

Veracode’ s best practices for mastering software supply chain management

Modern Software Supply Chain Management demands a multifaceted, efficient approach. By embracing these practices, teams mitigate risk without slowing innovation, create a culture of shared responsibility and position their teams for secure software delivery at scale.

• Visibility – You can’ t secure what you can’ t see. Begin by mapping all open-source and third-party dependencies, including transitive components, using Software Composition Analysis( SCA).

• Implement proactive prevention – Reduce your attack surface by stopping threats before they enter your environment. Deploy package firewalls to block malicious or non-compliant components at the gate. Automate security policy enforcement so every dependency is vetted for compliance and security before being added to your codebase.

• Adopt a layered defence strategy – No single tool is sufficient. Combine upstream package filtering with downstream detection for comprehensive coverage.

• Empower developers – they are your first line of defence. AI-driven fix suggestions and automated pull requests accelerate remediation and help foster secure coding habits across teams.

• Monitor continuously – Use tools backed by real-time threat intelligence feeds to identify and mitigate new risks as they emerge. Continuously audit and update dependencies, automating alerts and patch management to reduce mean time to remediate and keep applications secure.

• Contextualise risk prioritisation – Prioritise remediation based on exploitability, business impact and compliance obligations. • www. intelligentcio. com

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