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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The Pentest Tax: The Hidden Cost Draining Your Security Team

Enterprise security teams are spending more time managing their penetration testing programmes than running them. Scheduling, scoping, chasing stakeholders, tracking findings in spreadsheets, and manually assembling audit evidence — the admin overhead is enormous, and most of it is invisible.

This report from OnSecurity, based on analysis of 14,000+ security engagements across 500+ organisations, quantifies the real cost of running a security testing programme without dedicated tooling — and shows what the shift to a platform-driven model looks like in practice.

What you will learn:

  • How ~20 days of admin overhead per engagement breaks down across scoping, scheduling and coordination
  • Why 76% of organisations testing multiple asset types face compounding complexity
  • The four characteristics of streamlined security operations that cut human effort by 30-50%
  • A practical checklist for programme structure, remediation tracking, compliance readiness and tooling
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Closing the Remediation Gap by at least 30% in Enterprise Security Programmes

Most security programmes produce findings. Far fewer have the infrastructure to make sure those findings actually get fixed. The result is the "report and forget" pattern — tests are conducted, reports are issued, and months later the same vulnerabilities reappear.

This success story from OnSecurity, based on analysis of 14,000+ security engagements across 500+ organisations, examines why remediation stalls, what it costs when findings sit unresolved, and what a closed-loop workflow looks like in practice.

What you will learn:

  • Why unresolved findings create compounding risk across multi-asset programmes
  • The operational shift from PDF-based reporting to platform-enabled remediation tracking
  • How leading teams achieve a 30% average improvement in MTTR and MTTF
  • What the five-step closed-loop remediation workflow looks like: Discover → Assign → Track → Retest → Close

Get the full success story to see how to operationalise remediation across your security programme.

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How Regulated Organisations Are Eliminating Compliance Overhead

Security teams operating under PCI DSS, ISO 27001, SOC 2 or Cyber Essentials Plus know the real challenge is not running penetration tests - it is proving they happened, documenting what was found, and showing remediation within a defined window. Most teams rebuild this evidence from scratch before every audit.

This case study from OnSecurity, based on analysis of 14,000+ security engagements across 500+ organisations, breaks down the compliance patterns that create the most overhead and shows what a continuously audit-ready programme looks like.

What you will learn:

  • Why evidence fragmentation is the top compliance time drain
  • Four failure modes that affect regulated organisations most
  • How platform-enabled testing programmes reduce manual effort by 30-50%
  • What practical, always-ready compliance looks like across fintech, healthtech and SaaS

Get the full case study to see a better model for compliance-ready security testing.

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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

How Highmark Federal Credit Union Automates 40+ File Transfers And Detects Fraud With MOVEit

Highmark Federal Credit Union started as a teacher's credit union in a broom closet under a stairwell. Today, it serves members across five locations in two states and depends on MOVEit Automation to keep critical file workflows running around the clock.

What you'll learn:

  • How Highmark automated 30 to 40 recurring tasks including ACH payroll processing, eStatement delivery, and daily banking notices
  • How they built a custom fraud detection program that uses MOVEit to flag suspicious transactions and generate daily call lists for their team
  • Why their strategy treats automation as a force multiplier for staff, not a replacement, freeing programmers and analysts to focus on projects that move the business forward
  • How MOVEit has delivered three years of uptime with zero outages across their Progress tech stack including WS_FTP Pro and ShareFile
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How IT Teams Build Resilient File Transfer Operations

One misconfigured backup. One untested restore. That's all it takes to turn a routine outage into a full-blown crisis for your file transfer workflows.

In this on-demand webinar, Jim Cashman, Product Manager for MOVEit Automation and a veteran IT director, shares a step-by-step maturity model for protecting the file movements your business depends on - from financial transactions and medical billing to insurance claims and partner data exchanges.

What you'll learn:

  • How to set RTO and RPO targets that align with your business requirements and compliance obligations
  • A practical backup strategy using the 3-2-1 rule - and how to test restores without accidentally running production tasks
  • How to set up a standby server for manual disaster recovery so you can restore service in minutes
  • When automated failover makes sense and how MOVEit Failover keeps two servers synced in near real time
  • A staging and testing methodology used by the most mature file transfer operations
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AI Is Live In Production. Is Your Identity Stack Ready?

AI agents, copilots, and AI-powered features are already touching customer data and internal systems. Yet 88% of leaders say their identity and security infrastructure is behind, and the most confident teams report the most incidents.

The 2026 State of AI and Identity Report draws on responses from more than 300 technology and security leaders to show where that gap turns into real risk, and what the teams who contain it do differently.

In this report, you will learn:

  • Why identity risk spikes when AI moves from pilot to pervasive use
  • How the confidence-reality gap leaves mature-looking organizations exposed
  • Why comprehensive policies and processes are not enough on their own
  • How leading teams rethink deployment, isolation, and machine identity
  • The 9 architecture questions to ask any identity vendor
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The AI Data Layer Your Support Team Has Been Missing

Most support organizations lose their richest source of intelligence the moment a remote session ends. Agents close tickets, type brief notes, and all the diagnostic context and resolution logic disappears.

ScreenMeet's AI Data Layer captures every remote support session as structured, AI-ready data inside the platforms you already trust

Simple to turn on. Fast to validate. Teams see value in weeks, not quarters.

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The Complete Guide To AI-Enhanced ServiceNow Workflow Automation

Most organizations barely scratch the surface of ServiceNow workflow automation. They build basic if-then rules while missing the AI-powered capabilities that transform what automation can accomplish.

This guide covers the full journey from foundational flows to autonomous AI agents, with practical frameworks at every stage:

  • Three stages of workflow maturity: basic automation, intelligent orchestration, and AI-powered transformation with Predictive Intelligence and Now Assist
  • Flow Designer vs. Classic Workflow: when to use each, migration strategy, and best practices for resilient, maintainable automation
  • AI-enhanced workflows in practice: how Predictive Intelligence, Now Assist, and AI Agent Studio work together to route, resolve, and learn autonomously
  • The training data challenge: why AI capabilities plateau and how platform-native session intelligence closes the gap
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Why Leading IT Teams Are Moving Remote Support Inside ServiceNow

Separate remote support tools create a documentation gap that limits agent productivity and starves your AI of the data it needs. Every context switch is lost knowledge.

ScreenMeet is the ServiceNow-native remote support platform that eliminates that gap entirely. Sessions launch from incidents, run within ServiceNow workflows, and automatically capture comprehensive documentation through AI, all without agents lifting a finger.

Self-funding through productivity gains with typical payback in 6-12 months.

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How To Fix the IT Documentation Gap & Pave the Way for Agentic Support Transformation

Most ServiceNow environments sit on thousands of resolved incidents with resolution notes that say little more than "Fixed" or "Done." That missing context doesn't just slow down your agents. It limits every AI capability your platform offers.

This guide introduces the ServiceNow AI Acceleration Loop, a four-stage maturity framework that turns incomplete documentation into the structured data foundation your AI needs to deliver real results.

What you'll learn:

  • Why the "Done" gap is the single biggest barrier to ServiceNow AI ROI
  • How automated session documentation replaces manual note-taking without adding agent workload
  • The four stages from reactive support to predictive automation, with action items for each
  • How organizations are reaching 45-60% Virtual Agent deflection and 75-85% Now Assist accuracy
  • A 90-day roadmap to transform your IT support operation
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How IT Teams Are Using AI To Transform ITSM Inside ServiceNow

AI-powered ITSM isn't theoretical anymore. Teams running ServiceNow are already automating triage, generating documentation, deflecting tickets, and predicting problems before they escalate. This field guide shows you exactly how they're doing it.

Instead of a feature overview, you'll get 10 workflow-level blueprints you can evaluate and implement right away, each with clear prerequisites, timelines, and ROI projections.

What you'll learn:

  • How Predictive Intelligence automates incident triage, routing, and prioritization
  • A workflow that turns every resolved incident into a published knowledge base article
  • How to deflect 40-60% of common requests using Virtual Agent and a stronger knowledge base
  • Proactive approaches to problem detection, change risk scoring, and patch management
  • A phased implementation roadmap to avoid disruption and build momentum
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How The Governed Workspace Eliminates Browser Chaos

Your employees toggle between 1,200+ apps a day, losing hours to disconnected systems and constant context switching. The browser was the problem all along.

HERE Enterprise Browser brings applications, AI and workflows into one governed environment - purpose-built for enterprise complexity, not retrofitted from consumer technology.

In this overview, you'll discover:

  • How Supertabs arrange applications side by side for specific roles and tasks, eliminating context switching entirely
  • Why any approved AI model can be embedded directly in the workflow with built-in data loss protection
  • How SuperSearch reaches every enterprise system from one interface, even behind authentication barriers
  • Why governance, AI permissions and full audit trails are built in from day one
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The Pentest Tax: The Hidden Cost Draining Your Security Team

Enterprise security teams are spending more time managing their penetration testing programmes than running them. Scheduling, scoping, chasing stakeholders, tracking findings in spreadsheets, and manually assembling audit evidence — the admin overhead is enormous, and most of it is invisible.

This report from OnSecurity, based on analysis of 14,000+ security engagements across 500+ organisations, quantifies the real cost of running a security testing programme without dedicated tooling — and shows what the shift to a platform-driven model looks like in practice.

What you will learn:

  • How ~20 days of admin overhead per engagement breaks down across scoping, scheduling and coordination
  • Why 76% of organisations testing multiple asset types face compounding complexity
  • The four characteristics of streamlined security operations that cut human effort by 30-50%
  • A practical checklist for programme structure, remediation tracking, compliance readiness and tooling
View Now