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 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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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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Why Trust FusionAuth

Modern applications demand authentication that is secure, flexible, and built for developers.

Yet many CIAM platforms introduce unnecessary complexity, opaque pricing, and architectural constraints that slow teams down and increase risk, especially in regulated environments.

This solution brief explains why thousands of engineering teams trust FusionAuth to power authentication at scale. Designed for full control and deployment flexibility, FusionAuth delivers a modern CIAM platform without vendor lock-in or multi-tenant compromises.

In this brief, you’ll learn:

  • Why traditional CIAM platforms limit flexibility, transparency, and security
  • How single-tenant architecture improves control, isolation, and compliance
  • What developer-first authentication looks like in practice
  • How teams migrate faster with minimal disruption and lower engineering effort

Whether you’re building for fintech, healthcare, education, or enterprise SaaS, this guide shows how FusionAuth helps teams deploy authentication their way securely, predictably, and at scale.

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Why Passkeys Improve User Security

Passwords remain one of the biggest security liabilities in modern applications.

Phishing, credential reuse, and human error continue to drive the majority of data breaches—despite stronger password rules and added MFA layers. Passkeys offer a fundamentally more secure approach to authentication by removing passwords entirely.

This whitepaper explains how passkeys work, why they dramatically reduce common attack vectors, and what development and security teams need to know to implement them successfully.

In this guide, you’ll learn:

  • Why traditional passwords and MFA still fail against modern threats
  • How passkeys use public-key cryptography to prevent phishing and credential theft
  • The difference between passkeys and password-based authentication
  • Real-world examples of passkey adoption from leading platforms
  • Best practices and considerations for implementing passkeys

If you’re responsible for protecting user identities while maintaining a seamless login experience, this guide provides a clear roadmap to moving beyond passwords.

Download the whitepaper to learn how passkeys improve security—and how to put them into practice.

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The State of Homegrown Auth Report

The 2025 State of Homegrown Authentication Report, sponsored by FusionAuth and Cloudelligent, provides the first deep dive into the tech stacks and team dynamics of organizations building their own identity systems. While many teams opt for in-house solutions for better security and customization, the data reveals significant risks, including the fact that 20% of respondents have experienced a security breach.

Key findings from this inaugural study of 144 IT practitioners include:

  • Architecture Trends: 67% of teams build their systems from scratch or roll their own auth server rather than using third-party providers.
  • The Tech Stack: Java, JavaScript, and C++ remain the top languages, with 72% of teams running auth in containerized or Kubernetes environments.
  • Productivity Benchmarks: Passport.js and Spring Security are rated as the top libraries for both long-term maintenance and initial time to value.
  • Team Composition: 60% of teams involve senior-level staff, yet only 23% of those contributors are considered identity specialists.
  • Infrastructure Preferences: Roughly half of development teams prefer local environments over SaaS tools for building and testing auth-related flows.

Download the full report to compare your own identity infrastructure against your peers and understand the features, protocols, and challenges shaping the future of custom authentication.

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Top 3 Risks for DIY Auth in Regulated Industries

Building authentication in-house may seem appealing, but for regulated industries, it often introduces serious risk.

Organizations in banking, healthcare, and other highly regulated sectors face increasing pressure to secure sensitive data while meeting complex compliance requirements. DIY authentication systems can quickly become costly, difficult to scale, and hard to keep compliant as regulations evolve.

This white paper explores the top three risks of managing authentication internally, from security vulnerabilities and compliance gaps to operational strain on development teams, and explains why many organizations are turning to specialized authentication providers instead.

Inside, you’ll learn:

  • Why DIY authentication struggles to keep pace with evolving regulations
  • How security threats and downtime risks increase with in-house systems
  • What to look for when evaluating authentication vendors for regulated environments

Whether you’re reassessing an existing auth stack or planning for growth, this guide will help you understand the risks and make a more informed, future-ready decision.

Download the white paper to see why DIY authentication may be holding your organization back.

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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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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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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.
View Now

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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How File Transfer Automation Can Support IT Security Goals and Data Growth

Modern businesses rely on the fast and secure movement of digital files to succeed. However, as data volumes grow and operations become increasingly distributed, relying on manual processes, custom scripts, and legacy FTP clients creates significant operational risks and high maintenance costs.

Read this white paper from Enterprise Strategy Group to learn how automating file transfers can support your IT security goals. You will discover how to:

  • Minimize human error and costly delays by automating file transfer tasks without complex programming.
  • Improve your security posture with centralized reporting, comprehensive auditing, and tamper-evident logging.
  • Ensure reliable data delivery through automated scheduling and proactive task failure notifications.
  • Reduce the operational burden on IT staff by replacing high-maintenance homegrown transfer solutions.
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