AI is changing how software is built, tested, secured and delivered.
As organisations across the Middle East accelerate investment in AI and digital transformation, engineering leaders face a critical challenge: how do you increase automation and autonomy without losing the governance, security and control required to operate at enterprise scale?
Join Harness for a dedicated Middle East webinar exploring the shift towards an Autonomous Software Delivery Lifecycle and what it means for organisations operating across cloud, private and self-hosted environments.
You’ll see how AI agents can take on more of the work across the software delivery lifecycle, while keeping policies, approvals, security controls and auditability embedded throughout the process.
In this session, you’ll learn:
- How Agentic AI is changing the software delivery lifecycle
- What an Autonomous SDLC could look like in practice
- How the Harness Software Delivery Agent can support engineering teams
- How to increase autonomy without compromising governance or control
- How enterprises can support cloud, self-hosted and on-premise deployment requirements
- How Harness is designed to help organisations operate at AI speed
See the technology in action
The session will include a practical demonstration of Harness capabilities, showing how AI can support software delivery while maintaining the enterprise controls required by complex and regulated organisations.
Who should attend?
This webinar is designed for technology and engineering leaders across the Middle East, including:
- CIOs and CTOs
- Heads and VPs of Engineering
- Platform Engineering leaders
- DevOps and DevSecOps leaders
- Cloud and Infrastructure leaders
- Software Engineering leaders
- Enterprise Architects
- Security and Governance teams
Reserve your place
Discover how your organisation can move towards autonomous software delivery while maintaining the security, governance and deployment flexibility your business requires.
Discover how Harness helps Middle East enterprises adopt Agentic AI and autonomous software delivery without compromising security, governance or control.