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PAM Academy › Module 8 — Future-Proofing PAM

Module 8: Future-Proofing PAM

Kenji scans the horizon (AI, identity convergence, automation, cloud and zero trust) so Abby Steel's programme never stands still.

Story: “The Horizon”
~37 minutes
Lead: Kenji, Principal Technologist
Emerging ThreatsComplianceAI and PAMCloud PAMZero Trust
Included
Part of the PAM Best Practice Academy curriculum
Module 8 video coming soon ← Back to Module 7
  • 8-part story-led module (coming soon)
  • Follows Kenji at Abby Steel
  • Practical, vendor-neutral PAM guidance
  • Key facts and real-world examples
  • 10-question knowledge check
Overview
Curriculum
Instructors
8
Module Number
8
Story Parts
37
Minutes
10
Quiz Questions
Module 8 — Future-Proofing PAM
~37 minutes
COMING SOON
The question this module answers
How do you keep a PAM programme effective as technology, threats and regulation keep changing?

Every module so far secured the present; this one defends the future. Kenji, hired to be professionally paranoid about tomorrow, walks through the industry's pain points, the building compliance wave, and five trends reshaping PAM. His creed: the programme that stands still is the programme that falls behind.

What you will learn
▶
Explain the four industry pain points (complexity, scalability, usability and legacy systems) and how they show up across different sectors.
▶
Identify the six key compliance frameworks (GDPR, HIPAA, SOX, CCPA, FISMA and PCI DSS) and the emerging regulatory fronts, including rules on AI.
▶
Describe how AI is changing PAM, from behavioural analytics and risk scoring to automated responses, and why AI itself needs strict controls.
▶
Explain the benefits of converging IAM with PAM and of automating provisioning and de-provisioning.
▶
Evaluate cloud PAM and zero trust PAM by weighing their benefits against their challenges and your own risk.
Module curriculum
1
Part 1: The Horizon and How to Stay Ahead
Coming soon
2
Part 2: The Four Pain Points in the Wild
Coming soon
3
Part 3: The Compliance Wave
Coming soon
4
Part 4: AI Enters the Vault
Coming soon
5
Part 5: The IAM–PAM Nexus
Coming soon
6
Part 6: Automated Provisioning and De-provisioning
Coming soon
7
Part 7: Cloud PAM and Zero Trust PAM
Coming soon
8
Part 8: The Far Horizon and Handover
Coming soon
9
Knowledge Check10 questions · pass mark 8/10
Quiz
Part 1: The Horizon and How to Stay Ahead

Seven fronts to watch and five practices for staying ahead: future-proof design, evaluating vendors on their roadmap, regular review, holistic integration and continuous training.

Part 2: The Four Pain Points in the Wild

Complexity, scalability, usability and legacy, illustrated through eight sectors from healthcare and banking to manufacturing and airlines.

Part 3: The Compliance Wave

GDPR and New York DFS set the tone, followed by six frameworks every practitioner should know and three fronts to come: global privacy, cybersecurity legislation and AI regulation.

Part 4: AI Enters the Vault

Eight AI impacts, including behavioural analytics, prediction, risk scoring and automated response, plus a manufacturing use case that 'is literally us'. The caveat: the smarter the tool, the stricter its own leash.

Part 5: The IAM–PAM Nexus

Unified platforms, workflow approvals, SSO, session hand-off and correlated behaviour analytics, proven by a 15,000-employee identity-centric PAM deployment.

Part 6: Automated Provisioning and De-provisioning

Just-in-time rights granted for the task and revoked at its end, which cuts human error, cost and lingering access. Automation is the end of the ghost account.

Part 7: Cloud PAM and Zero Trust PAM

The cloud PAM equation of central control and cost against connectivity and credential-storage concerns, then zero trust: continuous verification for every request, applied to everyone, all the time.

Part 8: The Far Horizon and Handover

Quantum, IoT and blockchain, a team exercise to turn trend-watching into decisions, and Layla's question: how do we know it all actually works?

Key facts
  • Predictive analytics use case: a manufacturer running industrial control systems used AI to predict where the next attack on privileged accounts would land and hardened those controls before any threat materialised.
  • Identity-centric PAM at scale: a global e-commerce company with over 15,000 employees used a unified identity view, RBAC, just-in-time elevation and continuous monitoring to reach zero standing privilege.
  • CloudTech Innovations (the deck's illustrative example): a startup spanning AWS, Azure and GCP with HIPAA obligations used cloud PAM for one dashboard, JIT access, session recording and automated compliance reports.
  • Zero trust healthcare case: MFA for everyone inside or outside the network, least privilege, continuous monitoring and micro-segmentation, so a breached segment stays one segment.
  • The New York State Department of Financial Services Cybersecurity Regulation requires financial institutions to manage and monitor privileged access.
  • Ahmed's ghost account survived six years because a manual process forgot to remove it. Automated de-provisioning closes that gap.
Knowledge Check
Q1: Which four pain points does Module 8 say the whole PAM industry feels?
Cost, staffing, licensing and training
Phishing, malware, ransomware and insiders
Complexity, scalability, usability and legacy systems
Discovery, vaulting, rotation and recording
Q2: In the healthcare complexity example, what makes PAM especially hard?
Granting emergency access instantly in life-or-death situations while still satisfying HIPAA
Hospitals don't use privileged accounts
Patient records are never stored electronically
Doctors refuse to use single sign-on
Q3: Which framework applies specifically to US government agencies and their contractors?
CCPA
PCI DSS
HIPAA
FISMA
Q4: What is the point of Kenji's AI caveat, 'the smarter the tool, the stricter its own leash'?
AI should replace all human approvers
AI tools are too slow for PAM
An AI able to grant and revoke privileged access is itself the most privileged identity and must be controlled
AI should only be used for phishing detection
Q5: How do IAM and PAM divide the work in converged session management?
PAM authenticates the user; IAM records the session
IAM authenticates the identity, then PAM monitors, records and audits the privileged session
IAM handles only cloud systems; PAM only on-premises
They run separately with no hand-off
Q6: A user logs into their regular account in one location, then into their privileged account from a distant location shortly after. Why does IAM–PAM convergence catch this?
Correlating standard and privileged activity reveals a physical impossibility
The privileged account has a longer password
SSO blocks all logins from abroad
The SIEM deletes duplicate logins
Q7: In the identity-centric e-commerce use case, how did a database administrator get maintenance access?
Through a shared admin account
Through permanent domain admin rights
By borrowing a colleague's credentials
By requesting just-in-time elevation, gaining approval and holding it only for the task
Q8: Which challenge of cloud PAM does Module 8 highlight?
It needs expensive on-premises hardware
It cannot record sessions
Heavy reliance on internet connectivity and concerns about storing credentials in the cloud
It only works with one cloud provider
Q9: What is the defining principle of zero trust PAM?
Users inside the network are trusted automatically
Identity and authorisation are verified continuously for every access request, including trusted insiders
Only external vendors need MFA
Access is granted by location and role alone
Q10: Why does Module 8 say automated provisioning and de-provisioning reduces risk?
Manual processes grant excessive privileges and forget to take them back
It removes the need for any access policy
It makes all users administrators
It stops logs being created
Requirements
Completion of Module 7 (recommended)
Basic understanding of IT administration or security concepts
Target audience: security and IT professionals, PAM practitioners and programme leads
No vendor-specific tool knowledge required — this module is vendor-neutral
Your instructors
NK
Nabeel Khaliq
IAM & Privileged Access Management SME · Founder, PAM Best Practice Ltd
Practitioner with deep hands-on experience implementing PAM across enterprise environments. Founder of PAM Best Practice Academy, a UK-registered education and community hub for PAM professionals. Arsenal and Middlesbrough fan.
AR
Adrian Russo
IAM & Privileged Access Management Architect
Senior PAM architect with extensive experience designing and deploying large-scale CyberArk and BeyondTrust implementations across enterprise environments globally. Keen cyclist.
ID
Iftikar Din
Manufacturing-focused Cyber Security Engineer
Cyber security engineer specialising in industrial and manufacturing environments. Brings real-world operational technology (OT) security perspective to PAM implementation. Middlesbrough fan who loves gardening.
Your progress
Module 8 — Future-Proofing PAM
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Module breakdown
Part 1: The Horizon and How to Stay AheadComing soon
Part 2: The Four Pain Points in the WildComing soon
Part 3: The Compliance WaveComing soon
Part 4: AI Enters the VaultComing soon
Part 5: The IAM–PAM NexusComing soon
Part 6: Automated Provisioning and De-provisioningComing soon
Part 7: Cloud PAM and Zero Trust PAMComing soon
Part 8: The Far Horizon and HandoverComing soon
Knowledge Check10 questions
Up next
Module 9 — Conducting a PAM Review and the PAM Maturity Model
Elena, Head of Internal Audit, leads Module 9. She tests whether the programme actually works using a PAM review and maturity model with seven levels of questions.
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