Temenos’ Barb Morgan on Winning Best Compliance Solution and Redefining AI-Driven Financial Crime Compliance

We sat down with Barb Morgan, Chief Product and Technology Officer at Temenos, which won Best Compliance Solution in the 2025 Tech Ascension Awards to learn more about banks navigating rising regulatory and financial crime pressures. Barb also explains how the company's FCM AI Agent achieved less than 2% false positives using explainable, regulator-accepted AI.

Temenos recently won the 2025 Tech Ascension Award for “Best Compliance Solution.” What does this recognition mean for you and your clients? 

This recognition shows that Temenos is leading the way in AI-driven financial crime mitigation (FCM). For our clients, it means they’re working with a partner that delivers proven, regulator-accepted AI innovation, helping them reduce risk, cut costs, and deliver frictionless customer experiences. It’s about turning compliance from a burden into a competitive advantage through fewer manual reviews, faster straight-through processing, and significant operational savings. 

2. The FCM AI Agent has achieved less than 2% false positives — a remarkable benchmark. What makes this technology so effective compared to other compliance screening tools? 

Precision is the differentiator. Our proven AI model learns from context and historical patterns, dramatically reducing false positives compared to traditional rules-based systems. However, data science alone doesn’t move the needle. The real value emerges when AI is embedded directly into workflows, where autonomous, goal-driven agents can make intelligent, context-aware decisions within complex processes. That’s where banking compliance truly changes the game. 

Explainable AI is a key theme in Temenos’ approach. How does the “explainable” element of your AI model help build trust with regulators and clients? 

Transparency is non-negotiable in compliance. Our AI doesn’t operate as a black box; it provides clear, auditable reasoning for every decision. This builds trust with regulators, accelerates adoption by banks, and ensures ethical AI principles like bias mitigation and accountability are embedded from day one.  

Many banks are still cautious about adopting AI for compliance. What lessons have you learned from live Tier-1 deployments that might help others accelerate their journey? 

Start small, prove value, and build trust. Our “shadow mode” allows banks to validate AI performance in a safe environment as part of a phased rollout. Demonstrating measurable outcomes, like reduced false positives and improved customer experience, helps overcome internal resistance and builds confidence across the organization. 

Financial crime management is evolving fast with generative AI and real-time data. How do you see compliance solutions adapting over the next few years? 

The future of compliance is about confidently harnessing AI to drive speed, precision, and trust at scale. AI will enable smarter alert handling and faster investigations, while advanced analytics will anticipate risks before they occur. The future is about combining automation, explainability, and agility to keep pace with increasingly complex financial crime threats. 

The FCM AI Agent is cloud-native and API-driven. How important is flexibility and interoperability for financial institutions managing complex compliance environments? 

It’s essential. Banks operate across diverse jurisdictions and technology stacks. A cloud-native, API-first architecture ensures seamless integration, scalability, and rapid deployment, whether on-premises, private or public cloud or as SaaS. This flexibility minimizes implementation risk and future-proofs compliance strategies as regulations and technologies evolve. 

What’s next for Temenos? 

We’re continuing to push the boundaries of AI-driven innovation. Expect deeper automation, enhanced explainability, and scalable solutions that make compliance faster, smarter, and more intuitive. 

Splunk’s Kirsty Paine on Resilience, AI, and Empowering the Next Generation of Woman in Cyber

We sat down with Kirsty Paine, Field CTO & Strategic Advisor at Splunk, a Cisco Company, and the 2025 Women in Cyber Leader of the Year winner, to discuss her journey from mathematician to cybersecurity leader and trusted advisor on global resilience.

Paine also shares how she’s helping shape the next generation of women in cyber, while driving innovation and resilience across the evolving security landscape. What first inspired your interest in cybersecurity, and what continues to drive your passion for the security industry today?

I fell into this career a little bit by accident. I was (still am) a big mathematics nerd and I ended up at the National Cyber Security Centre, where I focused on cryptography and broadened out to cyber security more generally, focusing on privacy, AI and internet tech. My background in cryptography and data analysis still shapes how I tackle today's security challenges.

I thrive on tackling tough problems and finding creative fixes by thinking differently - that's what keeps me passionate about security. I’m proud to work for Splunk; I see the difference it makes to our customers and how we are advancing the status quo in security as a market leader. Splunk is the heartbeat of so many SOCs and IT teams, allowing them to leverage data to take the best actions, with fast detection, investigation, and response.

Looking back on your career, is there a particular project or professional experience that has been especially meaningful or fulfilling for you?

I immediately thought of building the world’s first international standard for consumer IoT device security: EN 303 645. That’s truly raising the cyber hygiene baseline across the globe, which must make it a career highlight, and something I never thought I’d be able to do (especially not in my 20s, relatively early in my career).

Since then, I’ve realised we can really move the needle in security if we have the right people, direction and engine power. Working with CISOs and regulators across Europe has positioned me as a trusted advisor at the crossroads of policy, practice, and innovation – which is a privilege and an honour that I take very seriously.

Recently, I’ve been breaking new ground through collaborating with the World Economic Forum on reports like The Cyber Resilience Compass, which is a collection of best practices for our industry, and publishing new ideas like “demand chain security”. Now, I’m preparing to launch a toolkit with the Forum for measuring cyber resilience. You can’t know what you don’t measure! So, this will give security leaders a tangible way to benchmark progress, because cyber resilience (not only cyber security) is what we aspire to build.

  In your role at Splunk, how have you helped to accelerate innovation and strengthen the company’s impact across the EMEA region?

My job is perhaps the coolest job; I get to meet with our most strategic security customers all over EMEA and listen to them. Hearing their problems, sharing our vision and direction, and getting their feedback is so rewarding, interesting and downright fun. Security isn’t short-term, so our customers need confidence and trust in Splunk for their futures, which I’m building with them. I’ve elevated Splunk’s presence and messaging across EMEA, inspiring our customers by drawing lessons from sectors such as Formula 1 where constant innovation means survival. I have spearheaded security briefings, co-authored the State of Security and CISO Reports, spoken on stage, and helped to shape Splunk’s security strategy by sharing what our customers are asking for. I help build the trust and credibility that keeps Splunk ahead.

From your perspective, how have you seen the cybersecurity landscape evolve in recent years, and where do you think it’s heading next?

It’s only getting tougher out there, but we have a game-changer with the widespread adoption of AI. It’s reshaping cyber security on both sides, bringing new defences and new risks, but also new challenges like, how do you reward your people and talent when they are AI-enabled? What do your L1 analysts do if AI can do all of their work? Do we need a L4 analyst role to be created in the SOC?

  As emerging technologies like quantum computing advance, what potential impact do you foresee them having on the future of cybersecurity?

Quantum computing is advancing, but a bigger push is the government advice around it. It’s prompting organisations to assess the impact of quantum computing in their organisation and make plans to address it. Organisations are challenging their vendors on their roadmaps and simultaneously recruiting for post-quantum cryptography knowledge.

Because this change programme will be multi-year, it’s important to designate a person with longevity (such as someone on the board) to have oversight and make sure that clear steps towards preparedness are being taken, rather than kicking the can down the road. Developing a clear strategy will be critical as the field evolves.

A phased, risk-based approach – with calm, not panic – is the best approach to plan for the quantum threat. What advice would you give to women aspiring to build their careers in cybersecurity or join pioneering organizations like Splunk?

If you are curious and into solving problems, cyber security is for you! For women, don’t ever feel like you don’t belong, because you do. You have a network of people just waiting to work with you, who will be inspired by what you bring and who you can learn a lot from too. If you’re looking to join any particular organisation, make sure they have a good culture, because everything else you can build or fix – but it has to start with culture. I’ve always found Splunk is fantastic for its culture, collaboration, and humour.

And, in this high-pressure field, a healthy sense of humour and perspective is essential! Not just for growth, but for not burning out too. There’s always more to do but you must protect your brain and rest properly. If you can show up as the best version of yourself, you can easily square up to the complex challenges we have in this industry.

Inside Planview Copilot: How the Award-Winning, Multi-Agent AI Is Transforming Enterprise Planning

We sat down with Richard Sonnenblick, Chief Data Scientist at Planview, to discuss the innovation behind Planview Copilot—winner of Best AI/ML Powered Solution in the 2025 DevOps Awards.

Sonnenblick shares how Copilot’s multi-agent AI architecture transforms enterprise planning, helps teams unlock real-time insights, and redefines how organizations turn complex data into decisive action.

What industry pressures/challenges are enterprise portfolios facing that inspired Planview to develop Copilot? Enterprise teams struggle to access the information they need, spending hours tracking updates, compiling reports, or switching between systems just to get to a point where they can begin to derive insights. We set out to give organizational leaders a more accessible and efficient way to harness the power of their data across business areas, and that’s how Copilot was born. It enables teams to turn complex data into communicable analysis to turn data into decisions—and new hires into productive contributors—faster.

How does Copilot’s multi-agent AI architecture set it apart from traditional enterprise AI tools?

Copilot is a comprehensive AI solution specifically designed for the needs of enterprise planning today. Unlike point solutions, Planview Copilot integrates decades of portfolio management expertise into a single intelligent platform. It’s not a single model; it’s an ecosystem of AIs that work together to provide proactive and prescriptive guidance from strategy through to execution. It has the immediate cross-portfolio awareness to provide direction to teams—from strategy and planning through to execution—with the proficiency that can only come from combining decades of expertise in enterprise management with deep understanding of AI technologies. 

What steps should enterprises take to prepare their data environments to ensure Copilot delivers trusted, real-time insights?

It’s clichéd, but it's true: AI tools are only as good as the data they have at their disposal. If an organization lacks comprehensive governance around data management and maintenance, the return on AI investments will always fall short. To ensure they get the full value of Copilot’s capabilities, organizations need to first establish data management and maintenance guardrails designed to address three core pillars:

1. Accuracy. Incorrect, redundant, or misaligned datapoints can quickly skew results. It’s critical that organizations standardize collection, reconciliation, and interpretation practices to maintain quality across operations.

2. Access. Siloed databases hide patterns and hinder understanding. Copilot only works when its web of AI agents has access to a complete picture of what’s happening from end-to-end.

3. Timeliness. Real-time insight demands real-time collection. If the system is not continuously updating, recommendations about next steps will always be two steps behind internal trends.

Can you share some real-world examples where Copilot reduced inefficiencies/shortened decision cycle times?

From the start, we were committed to building Copilot to go beyond surface-level productivity gains—and I think it’s safe to say we have succeeded in that goal. Planview Copilot has rolled out to a range of customers across industries, and they’ve reported significant improvements in efficiency through automation and more productive project delivery, allowing teams to shift focus from reactive problem-solving to value-driven execution.

Copilot offers unmatched visibility into workflows across entire portfolios of departments and teams, enhancing alignment to drive collaboration and accountability from end to end. Our customers report that it has helped streamline decision-making and surface insights across portfolio, value stream, and work management systems, saving time, money, and wasted effort. In short, the platform enables teams to trade hours of chasing updates for direct, situational recommendations that help circumvent bottlenecks and move projects forward.

How does Copilot adapt its experience to the needs of different user personas (from executives to project managers to developers)?

Copilot was built to be a one-stop shop for enterprise users, no matter their role within the organization. It’s built on a deep understanding of the way enterprises work, drawn from decades of Planview expertise. It is highly customizable—both at the user and organizational levels—so each individual gets exactly what they need to make informed decisions about the next best step for their project, their team, and the organization as a whole. Copilot doesn’t just answer questions; it offers contextually aware answers that help each contributor move forward with confidence and in alignment with overall goals.

What role will Copilot play in the future of enterprise workflows?

Building the future of connected work is central to Planview’s overall mission, and Copilot is a reflection of that commitment. The future of organizational strategy is product- rather than project-focused; it’s about continuous enhancement, end-to-end ownership, and overall alignment toward one, broad-reaching goal. Copilot is built to enable organizations to adapt their approaches to this new paradigm—no matter which industries they serve or their size. It connects workflows to improve execution, resource utilization, and overall business performance, providing a foundation for success as businesses pursue this new model.