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 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 case study 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 case study 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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How to Build a Scalable Multi-Retailer Commerce Strategy

Today's shoppers discover products across social media, search, brand websites, and influencer content. But without a seamless path to purchase at the moment of interest, that attention goes to waste.

Commerce enablement bridges the gap between discovery and checkout by turning every brand touchpoint into a purchase opportunity, routing shoppers to preferred retailers based on real-time inventory and preference.

In this guide, you'll learn:

  • How to build an inventory-aware foundation that connects product content to real-time retailer availability
  • Strategies for activating shoppable media across paid, owned, and earned channels
  • How to measure marketing impact on omnichannel commerce outcomes using first-party data
  • A maturity model for evolving from basic shoppability to predictive commerce intelligence

Stop losing shoppers between discovery and checkout. Download the guide and start capturing demand wherever it happens.

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Reduction in Force Checklist for HR Managers

In the event of a reduction in force (RIF) or layoff, a business may have to eliminate several positions at the same time. This is a stressful process not just for impacted employees, but for remaining employees and the HR managers tasked with delivering the bad news.

To help alleviate the burden on your team and ensure nothing falls through the cracks, Randstad RiseSmart, a part of Randstad Enterprise, has put together a practical framework to guide you from planning to execution.

Download the RIF checklist to:

  • Understand everything you need to determine before, during and after conducting a RIF.
  • Find out what to include when preparing employee separation packages and severance benefits.
  • Know the essentials in managing notifications.
  • Navigate logistical and legal compliance.
  • Discover steps you can take to support both transitioning and remaining employees.

How you handle exits today defines who you can hire tomorrow. Download the checklist to ensure you do the right thing for your employees while preserving market trust, maintaining organizational stability, and protecting your bottom line.

About Randstad RiseSmart
Randstad RiseSmart, a part of Randstad Enterprise, is a global talent solutions leader, driving talent development and transition strategies for the world's most successful employers. We enable organizations to unleash possibilities throughout their working lives for their biggest asset, their people, by leveraging a coaching-centric approach that is designed to support individuals throughout all stages of their employment, and to support businesses in onboarding, developing, mobilizing, engaging, retaining, and transitioning employees to have the best possible experience in alignment with business needs.

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How to Build a Scalable Multi-Retailer Commerce Strategy

Today's shoppers discover products across social media, search, brand websites, and influencer content. But without a seamless path to purchase at the moment of interest, that attention goes to waste.

Commerce enablement bridges the gap between discovery and checkout by turning every brand touchpoint into a purchase opportunity, routing shoppers to preferred retailers based on real-time inventory and preference.

In this guide, you'll learn:

  • How to build an inventory-aware foundation that connects product content to real-time retailer availability
  • Strategies for activating shoppable media across paid, owned, and earned channels
  • How to measure marketing impact on omnichannel commerce outcomes using first-party data
  • A maturity model for evolving from basic shoppability to predictive commerce intelligence

Stop losing shoppers between discovery and checkout. Download the guide and start capturing demand wherever it happens.

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Turn Healthcare Data Into Actionable Insights Securely and at Scale

Healthcare organizations sit on enormous volumes of clinical data spread across disconnected systems. Without the right architecture, that data stays siloed - slowing decisions, creating compliance risk and limiting patient outcomes.

In this article, you will learn:

  • How modern healthcare data pipelines move from paper records to unified digital ecosystems
  • Why ETL processes are critical for clinical data quality and consistency
  • How AI enables real-time processing, predictive analytics and smarter clinical decisions
  • What it takes to build HIPAA-compliant pipelines that balance accessibility with security

Read the full article for a practical look at how AI is reshaping healthcare data infrastructure from the ground up.

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Smarter Healthcare Systems Start with Agentic AI

Healthcare facilities face growing pressure to deliver better outcomes with limited resources. Traditional automation helps with routine tasks, but it cannot adapt when conditions change mid-workflow.

Agentic AI changes that equation. These systems read data, make informed decisions and take action in real time - all within defined clinical boundaries. The result is faster care, fewer bottlenecks and operations that scale with demand.

In this e-book, you will learn:

  • What agentic AI is and how it differs from standard healthcare automation
  • Six measurable benefits, from smarter clinical decisions to optimized workforce allocation
  • Real-world use cases including remote patient monitoring, personalized medicine and AI-driven hospital operations
  • How to evaluate and integrate the right AI approach for your organization

Whether you are exploring AI for the first time or expanding existing capabilities, this guide provides a clear framework for healthcare leaders ready to move forward.

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How AI Code Fails at Scale and What Your Team Can Do About It

AI coding tools promise faster development, but without proper oversight, speed becomes a liability. When Amazon and Microsoft both faced major production failures from AI-assisted code, the lesson was clear: code generation is not the same as code understanding.

This white paper examines real-world incidents where AI-generated code passed initial checks but caused cascading system failures - and what engineering leaders can do to prevent it.

In this white paper, you'll learn:

  • Why AI-generated code looks reliable but fails under production complexity
  • Three critical AI programming limitations every dev team should understand
  • How unchecked speed leads to cascading production failures
  • A practical governance framework for safely integrating AI tools into your development workflow

Whether you're evaluating AI coding tools or already using them, this guide gives you the clarity to move fast without breaking production.

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Is Your Contract Review Process Ready for What’s Next?

In-house legal teams are being asked to handle more contracts, faster, without adding headcount. The result: inconsistent redlines, institutional knowledge that lives only in senior counsel's heads, and a constant tradeoff between speed and accuracy.

This toolkit from Filevine helps legal operations leaders diagnose where their contract review process is falling short — and what modernization actually looks like in practice.

What you'll get:

  • A breakdown of the four hidden costs teams face when they try to scale contract review manually
  • A 24-point self-assessment checklist covering volume, urgency, consistency, workflow, AI readiness, and business impact
  • A scoring framework to benchmark where your team stands today
  • A clear picture of what domain-specific AI looks like when it's built directly into Microsoft Word — not bolted on as a separate platform

Built for General Counsel, legal ops leaders, and contract teams navigating growing workloads with flat resources.

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Turn Your LMS Into a Revenue Engine

Most organizations only capture the first one or two levels of value from their training programs. The cost savings are visible, but the real commercial potential stays locked.

This whitepaper maps out a five-level monetization ladder for external training - from reducing support costs to launching premium academies that generate revenue on their own.

In this guide, you'll learn:

  • How to move external training from cost center to profit driver
  • Five distinct levels of monetization, with practical strategies for each
  • How one company saved over 2.2 million by scaling digital driver training
  • What separates LMS platforms built for growth from those built only for delivery
  • The subscription and sales models that let you package and sell training at scale

Whether you're exploring your first monetization use case or ready to build a premium academy, this guide gives you the framework to get there.

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How to Evaluate AI Vendors for Your Legal Team

AI tools are entering legal workflows faster than most firms can vet them. Contract review, e-discovery, compliance monitoring - the use cases are real, but so are the risks. Confidentiality gaps, unreliable outputs, and tools that can't adapt to your specific playbooks can set your team back instead of moving it forward.

This guide gives legal teams a structured evaluation framework covering six critical areas - so you can ask the right questions before you commit.

What you'll learn:

  • How to assess whether a tool adapts to your firm's policies, escalation rules, and precedents
  • What accuracy benchmarks and error-tracking standards to require
  • Key governance and ethics questions including bias audits and audit rights
  • Integration requirements that determine real-world adoption
  • How to tie AI selection to defined legal outcomes - not vague productivity gains
  • ROI evidence and scaling criteria to validate before expanding beyond a pilot
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The Complete Guide to AI-Powered Service Management

For enterprises managing complex after-sales operations — across online support, field engineers, and third-party service partners — fragmented tools and manual handoffs are no longer acceptable. This whitepaper introduces ShareService, a unified service management platform that connects every stage of the service lifecycle, from omni-channel intake and intelligent dispatch to on-site field execution, cost settlement, and CSAT analytics. Built on the ShareCRM PaaS infrastructure, ShareService embeds AI agents at each touchpoint: a 24/7 multilingual Online Support Agent that triages and creates work orders in real time, and a Field Service Agent that equips engineers with pre-visit briefings, on-site fault diagnosis, and parts recommendations — reducing return visits and driving consistent service quality at scale.

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AI-Native CRM for Modern Enterprises

As AI reshapes enterprise sales, the question is no longer whether to adopt AI — but whether your CRM can actually support it. ShareAI is an AI-native CRM platform purpose-built for enterprise go-to-market teams, embedding intelligent agents directly across the sales, marketing, and service lifecycle. This whitepaper explores how ShareAI's Agent Studio, Knowledge Platform, and unified data layer enable organizations to automate rep workflows, scale best practices across field teams, and build proprietary AI assets — without exposing customer data to third-party models. From intelligent SDR outreach to AI-assisted field service, ShareAI defines what enterprise CRM looks like in the age of agentic AI.

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A Practical Migration Guide for Enterprises

Replacing a CRM platform is one of the most consequential decisions an enterprise can make — yet for many organizations, the cost and complexity of Salesforce have made the status quo unsustainable. This whitepaper presents a structured migration framework built on 100+ realworld enterprise transitions, showing how organizations in manufacturing, technology services, and consumer goods have successfully moved to ShareCRM while reducing total CRM costs by up to 50%. Readers will gain a clear understanding of why enterprises are reevaluating Salesforce, what a low-disruption migration looks like end-to-end, and how ShareCRM delivers equivalent functionality with a simpler architecture, lower operational burden, and a familiar user experience that eliminates retraining.

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