<img src="https://secure.leadforensics.com/133892.png" alt="" style="display:none;">

As the curtains have closed on the Gartner IAM Summit 2024, it’s time to reflect on the insights and discussions contributed by 971 participants (give and take a few), in or in between the 105 sessions, workshops and round tables, and the 43 vendor exhibitions, all centered around the rapidly evolving field of Identity and Access Management (IAM).

It once again was a melting pot of the ideas, trends, and forecasts that will shape the IAM landscape in the coming years. One of my key takeaways was investing in value rather than cybersecurity value, which in turn should be measurable e.g. in terms of business value benchmarks, outcome-based metrics, and governed by protection (or performance) level agreements. This underlines the importance of aligning IAM strategies with overarching business goals and objectives, which in my opinion is key.

Identity as the cornerstone

Identity emerged as a cornerstone of security, forming the bedrock of Zero Trust principles. As organizations increasingly prioritize identity hygiene and infrastructural robustness, IAM assumes a pivotal role in safeguarding critical assets and data. Apropos data, leveraging identity data as the "new oil" to enhance the performance of the IAM “machine” (i.e. discipline) was also discussed as critical priority for IAM practitioners.

Evolving landscape: Continuity and adaptation

While many topics discussed at the summit were continuations from previous years, they were updated and adjusted to reflect the evolution of the IAM discipline in 2024. One ongoing topic on my list, was the absence of an Identity Governance and Administration (IGA) Magic Quadrant, which was retired 5 years ago due to perceived maturity. I for one, don’t agree that the technology has matured yet. It’s still evolving, and the introduction of Generative Artificial Intelligence (GenAI) is just one example.

Leveraging generative AI

And talking about GenAI, it also emerged (surprise) as a topic of much interest. Gartner predicts that organizations embracing GenAI over machine learning technologies will experience considerable efficiency gains in their IAM initiatives. However, the implementation of AI in IAM requires careful consideration, and selecting the right tools and strategies to maximize its potential is essential. AI is an evolutionary approach rather than a revolutionary one and will depend on seamless IAM integration.

Emerging trends and challenges

Other key topics discussed at the summit were emerging trends such as machine and workload identity management, decentralized identity, and API access control, all highlighting the multifaceted nature of contemporary IAM challenges. Addressing technical debt, harnessing the power of language models for policies and refining access modeling, but also themes such as organizational culture, identity programs, operating models, and identity-first security emphasize the holistic nature of modern IAM practices.

In conclusion, the Gartner IAM Summit 2024 offered a wide spectrum of the trends, challenges, and opportunities shaping IAM. In an increasingly digital world, it's imperative to embrace innovation, foster collaboration, and adopt a forward-thinking approach to IAM. By staying abreast of emerging technologies and best practices, organizations can effectively drive sustainable value as well as mitigate risks and enhance their security posture through Identity and Access Management.

Topics

Discuss this post

Recommended posts

As cybercrime grows more aggressive and confrontational, security should be a top priority. Identity and Access Management (IAM) is crucial in developing cybersecurity strategies and serves as atool for mitigating risks, such as spear phishingusing MLto trick employees.
With today's insane speed of change in the digital landscape, the battle for cybersecurity has reached a critical breaking point. As cyber threats become increasingly sophisticated, beyond the understanding of humans and powered by AI, traditional human-centric approaches to security are no longer enough. The future of cybersecurity lies in the intelligent application of AI technologies to defend against these advanced threats. But do we dare to trust AI with our digital safety, and how do we decide which AI to entrust with this crucial task? In this post,I will explore why AI isn't just an option in cybersecurity – it's our best defence. I'll also delve into the complex questions of trust and selection in the AI-driven security landscape.
As manufacturers increasingly adopt smart practices to remain competitive, cybersecurity emerges as a critical concern. The recent findings from the IBM X-Force Threat Intelligence Index report highlighted the severity of the issue, ranking manufacturing as the top attacked industryfor the third consecutive year. This highlights the urgent need for manufacturers to reassess their cybersecurity strategies and implement robust measures to safeguard their operations.
Every business sector knows the impact of customer churn—how the steady stream of departing customers can erode profits and destabilize even the most robust revenue streams. But what if there was a way to gain insights into the future, to anticipate and alleviate this risk to your business's financial success?
Achieving customer satisfaction is not just about speed; it has to be in combination with effective problem solving and personalization. This is where generative AI chatbots come into play, cutting-edge tools that transform customer service organizations and processes. By integrating them into service strategies, companies can not only boost customer satisfaction, but also increase operational efficiency and reduce costs.
right-arrow share search phone phone-filled menu filter envelope envelope-filled close checkmark caret-down arrow-up arrow-right arrow-left arrow-down