2026 State of Production Reliability and AI Adoption

Platform and IT engineers are constantly challenged to build reliable systems while keeping production running during critical failures. However, reactive incident management is consuming valuable engineering capacity and driving significant team burnout. In fact, the majority of engineering teams spend 40 percent or more of their time on incident management instead of innovation.

Read the full report to explore key findings, including:

  • The Cost of Alert Fatigue: Discover why nearly half of organizations experienced an outage linked to ignored or suppressed alerts in the past year.
  • Financial Exposure: Learn how infrastructure downtime costs 61 percent of organizations $50,000 or more per hour.
  • The AI Perception Gap: Understand why 74 percent of C-suite executives believe their organization actively uses AI for incident management while only 39 percent of practitioners agree.
  • Barriers to Adoption: Identify the top practical challenges to AI deployment, such as budget constraints, data quality issues, and security concerns.
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MOVEit On-prem vs Cloud

Implementing a cloud-based solution for secure file transfer brings a host of benefits, including ease of use, predictable costs, central control, and compliance with leading cybersecurity standards. One of the most compelling advantages of Managed File Transfer-as-a-Service (MFTaaS) is the ability to offload system management responsibilities from your overstretched IT team.

This data sheet from Progress MOVEit provides a detailed comparison of MFT-as-a-Service versus on-premises system management. It outlines the specific administrative and security tasks that are shifted to the provider, allowing your team to focus on higher-value initiatives.

Download the data sheet to learn how MOVEit Cloud handles day-to-day operations, including:

  • Infrastructure Management: Offload capacity planning, server maintenance, patching, and application upgrades.
  • Security and Compliance: Benefit from 24/7 server monitoring, ASV scans, annual penetration testing, and PCI/HIPAA/SOC2 compliance audits.
  • Seamless Migration: Understand the potential technical changes and configurations required when migrating from an on-premises deployment to the cloud.
  • Administrative Control: Retain control over folder management, user permissions, password policies, and branding, while leaving the backend infrastructure to the experts.
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From Overhaul to Overachievement: Absa’s MOVEit Partnership Scales Secure File Transfer to a Staggering 1.4 Million Per Day

Managing multiple legacy file transfer tools can create overwhelming complexity, inefficiency, and high maintenance costs. For Absa, a leading financial services group, fragmented systems required massive IT overhead and hindered their ability to efficiently scale operations.

To overcome these challenges, Absa needed a secure, scalable, and compliance-ready solution. By consolidating operations onto a unified managed file transfer platform, they revolutionized their core business processes, including payments, reports, and secure backups.

Read this case study to discover how migrating to a modernized file transfer environment helped the organization achieve incredible results, including:

  • Increased Efficiency: Cut manual setup time significantly and freed up valuable IT resources to focus on higher-value deliverables.
  • Massive Scalability: Securely scaled daily file transfers from thousands to over a million with zero performance issues.
  • Enhanced Security and Compliance: Met strict banking regulatory standards using robust encryption, authentication keys, and layered firewalls.
  • Cloud Readiness: Integrated seamlessly with hybrid and cloud environments for future-proof modernization.
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Success Story of ModelRocket and NeuBird.ai: Transforming Production Operations with Agentic AI SRE

As organizations scale their cloud infrastructure, engineers often spend countless hours diagnosing complex operational issues, which can delay development cycles and threaten SLAs. Model Rocket, an innovative technology solutions provider, faced these exact operational headwinds as their usage of AWS services expanded.

Download this customer story to learn how Hawkeye transformed Model Rocket’s operations, resulting in:

  • 92% MTTR Reduction: Drastically accelerated incident resolution by instantly identifying root causes.
  • 24/7 Expert Monitoring: Leveraged AI to provide continuous, automated root cause analysis across the entire AWS environment.
  • Enhanced Development Focus: Freed engineers from context-switching between operations and development, allowing them to focus on innovation.
  • Strengthened SLAs: Ensured consistent service reliability even during rapid development cycles.
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NeuBird AI SRE: Your 24/7 Incident Resolution Assistant

In modern IT environments, engineers are often overwhelmed by alert storms and fragmented data during critical incidents. NeuBird AI functions as a 24/7 SRE assistant, designed to augment your DevOps and engineering teams with real-time analysis, pattern detection, and context-aware recommendations.

Download this data sheet to learn how NeuBird can help your team:

  • Reduce Operational Noise: Collapse hundreds of raw alerts into a single, actionable incident with probable root causes identified.
  • Detect Root Causes Faster: Unify observability data, change events, and operational knowledge into one seamless system.
  • Automate Common Fixes: Safely execute remediation using runbook intelligence and strict execution controls.
  • Maintain Data Privacy: Analyze incidents using your private vector database without sending raw telemetry to external models.
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Agentic AI In Modern SRE Ops

Modern Site Reliability Engineering teams are not constrained by a lack of observability, but by the manual effort required after an alert fires. As production environments generate massive volumes of telemetry, the work required to interpret data across multiple platforms has dramatically increased, leading to higher levels of toil and delayed response times.

Download this eBook to explore how autonomous incident resolution is changing SRE operations, including how to:

  • Eliminate Manual Toil: Free your engineering teams from the hidden costs of reactive firefighting and repetitive triage.
  • Accelerate Incident Resolution: Move from alert to fix significantly faster with automated root cause analysis.
  • Build Trust In Automation: Implement secure, explainable, and governed AI workflows that align with your operational standards.
  • Integrate Seamlessly: Deploy autonomous agents across your existing hybrid and multi-cloud observability tools without ripping and replacing infrastructure.
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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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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.

View Now

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.

View Now

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

Get Whitepaper

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
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