Securing Autonomous AI Agents

As organizations integrate autonomous AI systems to process invoices, modify cloud infrastructure, and manage tasks, a new security challenge emerges. How do you grant software the ability to act autonomously while maintaining strict control over its capabilities? The solution lies in adapting identity architecture for non-human actors.

Inside this guide, you will discover:

  • The Three Types of Agent Identity: Understand the differences between service agents, delegated agents, and collaborative multi-agent systems.
  • Common Security Failures: Explore real-world scenarios, such as privilege escalation and un-traceable actions, caused by identity fragmentation.
  • Modern Authorization Models: Learn how to implement policy-based, context-aware decisions rather than relying on coarse Role-Based Access Control.
  • A Phased Implementation Roadmap: Follow a practical 12-month plan to inventory existing agents, improve credential hygiene, and establish dynamic authorization.

Download the guide to explore how to responsibly deploy AI agents without compromising your security posture.

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Securing Autonomous AI Agents

As organizations integrate autonomous AI systems to process invoices, modify cloud infrastructure, and manage tasks, a new security challenge emerges. How do you grant software the ability to act autonomously while maintaining strict control over its capabilities? The solution lies in adapting identity architecture for non-human actors.

Inside this guide, you will discover:

  • The Three Types of Agent Identity: Understand the differences between service agents, delegated agents, and collaborative multi-agent systems.
  • Common Security Failures: Explore real-world scenarios, such as privilege escalation and un-traceable actions, caused by identity fragmentation.
  • Modern Authorization Models: Learn how to implement policy-based, context-aware decisions rather than relying on coarse Role-Based Access Control.
  • A Phased Implementation Roadmap: Follow a practical 12-month plan to inventory existing agents, improve credential hygiene, and establish dynamic authorization.

Download the guide to explore how to responsibly deploy AI agents without compromising your security posture.

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The 2026 Benefits Divide: Key Trends Shaping Employer-Sponsored Benefits

The healthcare landscape is undergoing significant changes. With rising premiums and shifting plan designs, employers and HR leaders face new challenges in managing employee benefits effectively while keeping costs under control.

Read the report to discover insights on:

  • Cost Efficiency Strategies: Learn how the adoption of high deductible health plans and health savings accounts can drive mutual financial savings.
  • Preventive Care Utilization: Discover why focusing on proactive wellness and mental health support is crucial for a healthy workforce.
  • AI-Powered Analytics: Understand how actionable claims data can help identify fraud, waste, and abuse to recoup lost funds.
  • Enhanced Navigation: See how multi-agent AI assistants guide employees to make informed, cost-effective healthcare decisions.
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Securing Autonomous AI Agents

As organizations integrate autonomous AI systems to process invoices, modify cloud infrastructure, and manage tasks, a new security challenge emerges. How do you grant software the ability to act autonomously while maintaining strict control over its capabilities? The solution lies in adapting identity architecture for non-human actors.

Inside this guide, you will discover:

  • The Three Types of Agent Identity: Understand the differences between service agents, delegated agents, and collaborative multi-agent systems.
  • Common Security Failures: Explore real-world scenarios, such as privilege escalation and un-traceable actions, caused by identity fragmentation.
  • Modern Authorization Models: Learn how to implement policy-based, context-aware decisions rather than relying on coarse Role-Based Access Control.
  • A Phased Implementation Roadmap: Follow a practical 12-month plan to inventory existing agents, improve credential hygiene, and establish dynamic authorization.

Download the guide to explore how to responsibly deploy AI agents without compromising your security posture.

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IT Has its Head in the Clouds

Government legal technology is entering a period of meaningful change. Cloud-first infrastructure, practical AI, and modern system design are no longer emerging ideas—they are quickly becoming standard expectations.

In our new whitepaper, IT Has Its Head in the Clouds, we examine the trends shaping government legal technology in 2026 and what they mean for prosecutors, public defenders, agencies, and municipal legal offices.

Inside, you’ll learn:

  • Why the “10/90 rule” has shifted toward cloud-first expectations
  • How secure cloud environments reduce operational risk and support scalability
  • What modern document workflows and user-focused design look like in practice

Understanding these shifts is the first step toward preparing your office for what’s ahead.

Download the whitepaper to learn more

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AI in the Government Legal Practice

AI is already changing how legal work gets done—but for government legal offices, efficiency gains must come without compromising security, accuracy, or accountability.

In our new whitepaper, AI in The Government Legal Practice, we examine how Prosecutors, Public Defenders, Agencies and Municipal Government Attorneys can move beyond generic AI tools and unlock meaningful efficiency through secure, case-aware intelligence.

Inside, you’ll learn:

  • Why internet-trained AI tools create risk in government legal environments
  • How AI can accelerate discovery, preparation, and insight
  • What it takes to deploy AI responsibly inside secure case management systems

Download the whitepaper to learn more

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Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
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Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
View Now

Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
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Connecting the Dots 2026: 5 Marketing Trends You Might Be Missing

The Connecting the dots 2026 report from GWI highlights critical, non-obvious marketing trends that are often overlooked in standard advertising plans. Drawing from a wealth of research, this report provides deep insights into fast-changing audiences and shifting consumer habits to help you sharpen your 2026 strategy.

This comprehensive study explores five key areas shaping the future of marketing:

  • AI and Insights: While many advertisers and marketers use AI professionally, relying on web-scraped data leads to generic, stereotypical results that lack depth.
  • The Intent-Behavior Gap: Consumers are increasingly contradictory, creating a significant opportunity for brands that can bridge the gap between expressed intent and actual buying behavior.
  • Social Media Dominance: Social media remains the dominant media form, with people spending massive amounts of time on social platforms and short videos each week.
  • World Cup Fandom: The audience for the upcoming tournament is rewriting the rules of engagement, with many fans identifying as avid gamers who view the event as a social ecosystem.
  • Defining Gen Alpha: As the oldest Alphas reach their teen years, it is essential to recognize them as a distinct generation rather than a simple continuation of Gen Z.

Download the full report to access the data-driven truth behind these trends and discover the opportunities your competitors might be missing.

View Now

Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
View Now

Connecting the Dots 2026: 5 Marketing Trends You Might Be Missing

The Connecting the dots 2026 report from GWI highlights critical, non-obvious marketing trends that are often overlooked in standard advertising plans. Drawing from a wealth of research, this report provides deep insights into fast-changing audiences and shifting consumer habits to help you sharpen your 2026 strategy.

This comprehensive study explores five key areas shaping the future of marketing:

  • AI and Insights: While many advertisers and marketers use AI professionally, relying on web-scraped data leads to generic, stereotypical results that lack depth.
  • The Intent-Behavior Gap: Consumers are increasingly contradictory, creating a significant opportunity for brands that can bridge the gap between expressed intent and actual buying behavior.
  • Social Media Dominance: Social media remains the dominant media form, with people spending massive amounts of time on social platforms and short videos each week.
  • World Cup Fandom: The audience for the upcoming tournament is rewriting the rules of engagement, with many fans identifying as avid gamers who view the event as a social ecosystem.
  • Defining Gen Alpha: As the oldest Alphas reach their teen years, it is essential to recognize them as a distinct generation rather than a simple continuation of Gen Z.

Download the full report to access the data-driven truth behind these trends and discover the opportunities your competitors might be missing.

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Workforce Resilience in the AI Era

As organizations rapidly roll out AI, the impact on jobs, skills, and workforce planning is becoming impossible to ignore. This research report explores how AI is changing the nature of work and why many organizations are shifting their focus from traditional job security to long-term skill security.

Based on surveys of 500 HR leaders and 500 employees at large U.S. organizations, the report highlights a growing disconnect between leadership expectations and employee perceptions, along with the risks and opportunities this creates.

Inside the report, you’ll learn:

  • Why nearly 6 in 10 HR leaders expect AI-driven layoffs in the next 12 months
  • How “skill security” is replacing job security as roles evolve faster than ever
  • Which technical and human skills will matter most as AI adoption grows
  • How leading organizations are supporting employees through AI-driven change
  • What HR teams can do now to build a more adaptable, resilient workforce

Download the research report to understand how AI is reshaping work and how to prepare your workforce for what’s next.

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ConvesioPay for Merchants

Seamless Payments. Limitless Possibilities.

Today’s businesses need more than just a payment processor—they need an intelligent, integrated commerce solution. ConvesioPay combines enterprise-grade payments, AI-powered fraud prevention, and real-time insights to help you scale globally, securely, and efficiently.

With ConvesioPay, you can:

  • Reduce fraud by 27% using advanced AI and machine learning tools
  • Cut manual dispute handling by 60% with automated chargeback management
  • Boost conversions by up to 50% with accelerated, adaptive checkout
  • Recover lost revenue through smart retry scheduling and card updates
  • Scale globally with Adyen’s enterprise payment infrastructure and local expertise

Get the best of both worlds: powerful automation to reduce risk and white-glove support to optimize every step—from capture to payout.

Download this solution brief to see how ConvesioPay helps you simplify payments, increase profitability, and deliver a better customer experience.

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Madsen’s Custom Cabinets: AI-Powered ERP Case Study

For more than 60 years, Madsen’s Custom Cabinets has built a reputation for craftsmanship and quality. But as the company grew, so did the complexity of managing projects, schedules, and communication across a diverse workforce. To keep pace, they modernized with Epicor Kinetic ERP in the cloud and became early adopters of Epicor Prism AI.

The result? A smarter, more connected operation that helps the team move faster and focus on what matters most.

With AI-powered ERP, Madsen’s can:

  • Streamline scheduling and automate routine updates
  • Strengthen communication across customers, suppliers, and teams
  • Empower skilled employees to focus on growth and innovation

Read the full success story to see how AI + ERP is driving measurable results.

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