[TEST] Event 2025 [DELETE LATER]
Join us at the Data Protection and Security Summit in Sydney for expert-led sessions on navigating privacy reforms, AI security, and more. Connect with industry leaders and gain practical insights to strengthen your organisation’s data protection strategy in a connected world.
The production playbook for engineers shipping AI at scale.
The company we keep.
Built for the people shipping AI in production.
Built for in-house eng & infra teams shipping AI in production — here's who gets the most out of the day. Not a perfect match? Staff engineers, founders, heads of data and other hands-on technical leaders fit right in — the three above are just where most of the room sits.
GPU economics, hybrid topology, cost & latency trade-offs — real numbers from real production.
Steal model-serving, eval and orchestration patterns from teams two cycles ahead of your stack.
Pressure-test your AI roadmap against peers shipping it. See what's actually scaling beyond the prototype.
Concrete deliverables, not just notes.
Registration Opens & Networking Breakfast
Secure by Design shifts cybersecurity from reactive patching to proactive design, placing accountability on builders, not customers, across the full product lifecycle. Modern Defensible Architecture.
Registration Opens & Networking Breakfast
Secure by Design shifts cybersecurity from reactive patching to proactive design, placing accountability on builders, not customers, across the full product lifecycle. Modern Defensible Architecture.
Registration Opens & Networking Breakfast
Secure by Design shifts cybersecurity from reactive patching to proactive design, placing accountability on builders, not customers, across the full product lifecycle. Modern Defensible Architecture.
Registration Opens & Networking Breakfast
Secure by Design shifts cybersecurity from reactive patching to proactive design, placing accountability on builders, not customers, across the full product lifecycle. Modern Defensible Architecture.
A day designed for momentum.
2 keynotes · 3 panels · 4 "How I Solved" case studies · 1 live audience simulation · roundtables · drinks.
Test Agenda Title
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
Agenda two
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
Test Title 4
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
Actual Title for Agenda
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
Test Agenda Title
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
test three
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
Test Title 4
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
Actual Title for Agenda
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
test three
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
Agenda two
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
Test Title 4
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
Actual Title for Agenda
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
Test Agenda Title
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
test three
AI agents are now writing code, deploying systems, and making real production decisions. But when things go wrong, model drift, data leaks, or outages, most organisations can’t answer three simple questions: Did we catch it? Who’s responsible? How do we prevent it next time?
This panel brings together engineering, platform, and security leaders tackling a new reality: AI is breaking both observability and accountability.
We’ll cover:
- Why traditional monitoring misses AI failures and what’s replacing it
- Where accountability sits when AI makes decisions
- How to design audit trails, guardrails, and escalation paths for AI systems
- Lessons from early AI incidents what was caught, what wasn’t, and who took responsibility
- What regulators, boards, and customers now expect
Agenda two
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
Why engineering leaders return year after year.
VP IAM Security Platforms and Operations, Nomura
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Manager Identity & Access Control, Clean Away Waste Management
Director of Product Engineering, Movember
COO Asia Pacific, Lazard Asset Management
Head of Cyber Security Engineering APAC, BUPA
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Executive Manager of AI & Engineering, Commonwealth Bank
Backed by the platforms engineering teams actually run on.
Register in under 60 seconds.
Free for in-house engineering, AI/ML & infrastructure leaders. Register and your confirmation lands instantly — no approval queue.
Complimentary Full-day access to keynotes, panels & case studies
Common questions.
What do I need to bring?
Just bring yourself, your laptop or a notebook and get ready to collaborate!
Will sessions be recorded or live-streamed?
No. You'll have to be there to enjoy the sessions.
Will there be WiFi?
Yes, absolutely! Stay connected at the event with complimentary wifi - we'll share the details at the event.
Will food and drinks be provided?
Yes, morning tea, lunch, and afternoon refreshments will be provided. Please indicate any dietary requirements during registration.
Are Chatham House Rules in effect?
Absolutely! No media, recordings, or live streaming... what happens in the room, stays in the room.
What is the dress code?
Smart casual or business casual is recommended, no need for a suit and tie! Keep it comfortable.
Are there any fees to attend?
Nope! The conference is completely free for AppSec, Engineering, and Cybersecurity professionals.
Getting there.
97 days left.
Register free today.
Be the engineering leader in the room — not the one reading the LinkedIn recap.
Contact our event team for any enquiry
