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The Extensibility Imperative

Customer Identity is essential for optimizing the customer experience, driving sales and marketing efforts, and ensuring security and compliance. However, as businesses’ tech stacks and needs evolve, extensibility becomes a critical factor in selecting a CIAM (Customer Identity and Access Management) solution. This whitepaper explores:

Why extensibility is crucial for adapting CIAM to unique business needs and tech environments.
The role of Customer Identity in enhancing security, protecting data, and supporting compliance.
How extensible CIAM solutions enable faster, more agile development while offloading identity management tasks.
The trade-offs between ease of implementation and degree of extensibility in different CIAM approaches.

It also shares practical strategies to implement Customer Identity effectively, ensuring scalability and long-term success. Download the whitepaper now.

Simplified authentication for stronger, more engaging apps

Had enough authentication spaghetti? Simplify your authentication today:

Make access easy with passkeys and MFA. Implement Customer Identity lifecycle management. Take the pain out of compliance and auditing. Integrate with your chosen cloud solutions. Drive efficiency across your developer workflows. Learn how to do all this and more in our whitepaper.

Modernizing Data Platforms for AI/ML and Gen AI

Organizations everywhere are hitting a critical inflection point — traditional Hadoop environments can’t keep up with the demands of AI, ML, and GenAI. Fragmented architectures, rising costs, and complex maintenance cycles are slowing innovation.

It’s time to modernize.

In this new white paper, Modernizing Data Platforms for AI/ML and Gen AI, you’ll discover:

Why Hadoop requires up to 20x more CPU resources and 10–15x more energy than modern alternatives.
How Teradata Vantage unifies data and analytics into one platform—reducing staffing needs by up to 90%.
The roadmap to migrate from Hadoop to a scalable, AI-ready analytics ecosystem.
How integrated ClearScape Analytics® brings advanced AI and ML capabilities directly into your data platform.

Modernization isn’t just about performance — it’s about positioning your business for the AI-driven future.

Project Management in 2025

5 Trends You Need to Know and Embrace

The project management landscape continues to undergo a radical transformation. As technological disruption accelerates and organizational strategies become increasingly complex, traditional approaches quickly become obsolete.

In this timely whitepaper, we dissect the five critical trends that will reshape project management in 2025, offering a comprehensive roadmap for forward-thinking project managers and other work management leaders.

Why It Matters

A renewed focus on driving strategic value through project management that extends beyond simple task management is already here—catching on late is too late.

Leveraging exclusive insights from global project management thought leaders, we delve beyond surface-level trends, touching on AI, value optimization, and enterprise agility topics. Key takeaways will help provide:

Deep understanding of the evolving project management ecosystem
Actionable strategies to position your organization for success
Critical insights into technological and methodological shifts
Frameworks for building more adaptive, intelligent project delivery capabilities

Download Now and Get Ahead of the Curve

Modernizing Data Platforms for AI/ML and Gen AI

Organizations everywhere are hitting a critical inflection point — traditional Hadoop environments can’t keep up with the demands of AI, ML, and GenAI. Fragmented architectures, rising costs, and complex maintenance cycles are slowing innovation.

It’s time to modernize.

In this new white paper, Modernizing Data Platforms for AI/ML and Gen AI, you’ll discover:

Why Hadoop requires up to 20x more CPU resources and 10–15x more energy than modern alternatives.
How Teradata Vantage unifies data and analytics into one platform—reducing staffing needs by up to 90%.
The roadmap to migrate from Hadoop to a scalable, AI-ready analytics ecosystem.
How integrated ClearScape Analytics® brings advanced AI and ML capabilities directly into your data platform.

Modernization isn’t just about performance — it’s about positioning your business for the AI-driven future.

The Extensibility Imperative

Customer Identity is essential for optimizing the customer experience, driving sales and marketing efforts, and ensuring security and compliance. However, as businesses’ tech stacks and needs evolve, extensibility becomes a critical factor in selecting a CIAM (Customer Identity and Access Management) solution. This whitepaper explores:

Why extensibility is crucial for adapting CIAM to unique business needs and tech environments.
The role of Customer Identity in enhancing security, protecting data, and supporting compliance.
How extensible CIAM solutions enable faster, more agile development while offloading identity management tasks.
The trade-offs between ease of implementation and degree of extensibility in different CIAM approaches.

It also shares practical strategies to implement Customer Identity effectively, ensuring scalability and long-term success. Download the whitepaper now.

Securing AI Agents: The New Identity Challenge

AI agents aren’t just chatting anymore, they’re taking action across your stack. They’re calling APIs, making decisions, and accessing sensitive data. However, most IAM systems were never designed for non-human actors.

This whitepaper breaks down what GenAI changes about Identity and what security, product, and development teams must rethink to stay secure and scalable.

Download it to learn:

Where traditional identity frameworks fall short for GenAI
How to secure agents before, during, and after login
Why human-in-the-loop approvals and fine-grained authorization matter

TikTok Pixel Privacy Nightmare

Third-party tracking technologies, like the TikTok pixel, are a common part of digital marketing today. But what happens when these tools, designed to help you, expose your business to severe security and privacy risks?

What You'll Discover in This Case Study:

The Problem: Learn how a global travel agency's ambition to target the Gen Z demographic on TikTok led to a critical privacy breach due to a misconfigured pixel.
The Discovery: See how the Reflectiz platform's automated system identified the misconfigured pixel and its illegal activities, proving the value of continuous, automated monitoring.
The Solution: Understand the swift mitigation steps taken to address the breach and how the company continues to use the TikTok pixel with confidence, thanks to Reflectiz's continuous monitoring.

Identity Beyond Users: The Challenge of Securing AI Agents

AI agents are moving from experiments to production, but most identity controls were built for humans. This whitepaper from AWS & Auth0 explains why non-human agents create a new identity layer and what it takes to secure them at scale.

Download it to learn:

Why traditional IAM falls short for autonomous agents
The four identity requirements for AI applications: agent authentication, token vaulting, asynchronous authorization, and fine-grained RAG
How to design human-in-the-loop approvals for long-running agent tasks
How Amazon Bedrock and Auth0 enable permission-aware, context-safe agents

How Dragonfly’s Architecture Delivers 80% Lower Costs Than Redis

Are you a customer of a hosted Redis service like ElastiCache, but are struggling with bottlenecks, high costs, and operational complexity? You're not alone. The single-threaded architecture of Redis often leads to poor CPU utilization, requiring you to provision a high number of expensive instances to handle heavy workloads, which can lead to escalating infrastructure costs.

This report, brought to you by Dragonfly, is a breakdown of the architectural differences that enable Dragonfly to deliver up to an 80% cost reduction over managed Redis solutions. We'll show you how a modern, multi-threaded in-memory data store can slash your costs, boost performance, and simplify your operations.

How Dragonfly Reduces Your Costs:

Multi-Threading
Better Memory Efficiency
Lower Price Per Unit of Memory

Patterns For A High Performance Data Architecture

For fast-growing startups, scaling data infrastructure is an inevitable challenge. Increased data volumes often lead to longer response times, higher error rates, and more frequent service downtimes. A lack of a strategic approach to data can compromise the performance and reliability of your services, as well as the trust of your audience.

This guide offers best practices for reducing data latency and enhancing scalability. It provides recommendations to help you navigate the challenges of building web-scale applications that meet the demands of modern users.

Key Patterns for Performance and Scalability

Limit Data Access to Disk
Avoid Cross-Regional Communication
Scale Vertically First
Do Work Asynchronously
Use Connection Pooling
Load Balancing

A New Era of Demand Planning

Accurate forecasts help companies minimize inventory, maximize production efficiency, streamline purchasing, optimize distribution, maximize customer service, and ensure confidence in their projections. However, developing accurate product forecasts at all stages of a product’s life cycle can be quite challenging.

In the past, supply chain planners used multiple forecasting methods tuned to perform well for different products or varying phases of the product life cycle, chosen to best exploit the available historical data and degree of market knowledge. The key was to pick the most effective and flexible methods and models, blend their best features, and shift between them as needed to keep forecast accuracy at its peak. However, the advent of new technologies and the rising utility of AI has brought in new way of forecasting that includes:

Ensemble Modeling - Harness the collective knowledge of diverse models for enhanced accuracy, stability, and adaptability
Driver-Based Forecasting - Identify the main drivers of business and how those drivers affect its revenue, costs, and cash flow
Demand Sensing - Monitor real time data such as customer orders, consumer sales, inventory in the channel, social sentiment signals or weather to dramatically improve near-future forecast
Explainable Forecasts - Embrace AI-driven forecasts with GenAI in an understandable way

Securing AI agents: the new Identity challenge

AI agents aren’t just chatting anymore, they’re taking action across your stack. They’re calling APIs, making decisions, and accessing sensitive data. However, most IAM systems were never designed for non-human actors.

This whitepaper breaks down what GenAI changes about Identity and what security, product, and development teams must rethink to stay secure and scalable.

Download it to learn:

Where traditional identity frameworks fall short for GenAI
How to secure agents before, during, and after login
Why human-in-the-loop approvals and fine-grained authorization matter

The Extensibility Imperative

Customer Identity is essential for optimizing the customer experience, driving sales and marketing efforts, and ensuring security and compliance. However, as businesses’ tech stacks and needs evolve, extensibility becomes a critical factor in selecting a CIAM (Customer Identity and Access Management) solution. This whitepaper explores:

Why extensibility is crucial for adapting CIAM to unique business needs and tech environments.
The role of Customer Identity in enhancing security, protecting data, and supporting compliance.
How extensible CIAM solutions enable faster, more agile development while offloading identity management tasks.
The trade-offs between ease of implementation and degree of extensibility in different CIAM approaches.

It also shares practical strategies to implement Customer Identity effectively, ensuring scalability and long-term success. Download the whitepaper now.

Simplified authentication for stronger, more engaging apps

Had enough authentication spaghetti? Simplify your authentication today:

Make access easy with passkeys and MFA. Implement Customer Identity lifecycle management. Take the pain out of compliance and auditing. Integrate with your chosen cloud solutions. Drive efficiency across your developer workflows. Learn how to do all this and more in our whitepaper.