The Cyber Doctor’s 7-Day Series
Prescriptions for a Safer Digital Future
Welcome to Day 3 of 7 in this ongoing series. I’m sharing real stories from my journey in cybersecurity and data privacy—not to impress, but to express what I’ve learned along the way.
In today’s story, I want to talk about the shift from manual firefighting to predictive governance—and how AI played a key role in that journey.
Day 3: When Governance Got Smarter
How I Used AI-Driven GRC to Cut Cyber Risk by 50% Across 64 Subsidiaries
When I took on the Group Head – IT GRC & Cybersecurity role at Al Gihaz Holding, I inherited a fascinating challenge:
64 subsidiaries. 19 countries. Dozens of industries. Multiple regulatory regimes.
And one big question:
How do you create a unified, real-time, risk-aware security posture across all of it—without drowning in spreadsheets, manual audits, and one-size-fits-no policies?
The Reality of “GRC Fatigue”
Our teams were stretched.
Audit checklists were being filled in silos.
Compliance reporting was mostly reactive—something we “did” quarterly, not something we lived daily.
Despite everyone’s best intentions, we were constantly catching up.
Too much manual effort. Too little insight. And very little integration between cybersecurity, compliance, and business objectives.
That’s when I knew we needed to rethink not just what we were doing—but how we were doing it.
Introducing AI into Governance
We didn’t start with technology.
We started by asking better questions.
- What risks are we blind to because they aren’t being reported in real time?
- What’s taking us hours that AI could flag in seconds?
- How can we turn compliance into a living framework—not a folder?
We then brought in AI-driven GRC automation tools that could:
- Map and prioritize risk based on real-time business context
- Automate evidence gathering for ISO 27001, GDPR, KSA PDPL, and NIST CSF
- Predict compliance drift before it happened
- Align controls with actual asset and threat behavior
We also built dashboards that made sense not just to cybersecurity experts—but to CFOs, COOs, and board members.
The Human Side of Automation
I’ll be honest: at first, there was resistance.
People feared AI might replace them—or worse, expose them.
So, we invested time in education, not just implementation.
We showed teams how AI wasn’t here to replace judgment, but to enhance visibility.
It didn’t make decisions for us—it gave us the clarity to make better ones.
The Results
- Cyber risk scores dropped by 50% within the first two quarters
- 70% of our compliance processes became automated
- Internal audit cycles shortened significantly
- Teams could now focus on mitigation, not just documentation
- And most importantly, governance became proactive, not performative
What I Learned
Real GRC maturity isn’t about the number of policies in place.
It’s about the speed and integrity of your decision-making under pressure.
And when you combine people’s judgment with AI’s agility—you get a system that learns, adapts, and protects at scale.
Tomorrow, in Day 4 of this series, I’ll take you into the energy sector—where I led cybersecurity programs for national petroleum companies and built resilience in environments where downtime isn’t just expensive—it’s dangerous.
Thank you for reading.
And thank you for believing that governance doesn’t have to be slow, painful, or passive. It can be intelligent. It can be alive.
Warm regards,
Dr. Lalit Gupta
The Cyber Doctor
www.cyberdoctorlalitgupta.com
he***@*******************ta.com
