India produces engineers at scale. So why is cybersecurity talent still scarce?
India produces millions of engineers every year. On paper, that should make the country one of the world’s deepest technology talent pools. Yet when it comes to cybersecurity, companies across industries are still struggling to find experienced professionals who can defend complex digital systems.
The paradox has puzzled many business leaders. If the pipeline of engineering graduates is so large, why does the cybersecurity talent gap refuse to close?
For Nandini Tandon, Co-founder and Chief People Officer at application security firm Indusface, the answer lies in how quickly the digital landscape has evolved. The problem, she believes, is not a shortage of engineers. It is that the demand for cybersecurity capability has exploded while real-world experience takes years to build.
“The shortage is due to the fact that the demand has compounded, not grown linearly.”
Demand has grown faster than the talent pipeline
Over the past decade, India’s digital economy has expanded rapidly. Cloud adoption has surged, fintech companies have scaled quickly, regulatory oversight has tightened, and artificial intelligence has introduced entirely new cyber risks.
Each of these developments has added complexity to digital defence.
“Over a short span, India has seen rapid digitisation, large-scale cloud adoption, fintech expansion, tighter regulatory expectations under RBI and now DPDP, and a sharp rise in AI-driven threats.”
In practical terms, that means security teams today must defend far more complicated technology environments than they did even five years ago.
According to Tandon, the academic ecosystem simply cannot evolve at the same pace as cyber threats.
“Academia cannot recalibrate at that pace. Cybersecurity is also no longer an entry-level function. Organisations today require practitioners who have operated inside live threat environments.”
Certifications alone, she adds, are not enough. “Certifications alone do not prepare professionals for production incidents, customer-impacting attacks, or real-time response decisions.”
The structural experience gap
The result is a structural mismatch between available talent and what companies actually need.
India produces engineers at scale, but experienced cybersecurity specialists remain rare.
“India produces engineers at scale, but very few with 5 to 8 years of specialised offensive or defensive security exposure.”
This gap is further intensified by global competition for talent. Indian cybersecurity professionals are increasingly hired remotely by companies in the United States and Europe.
“Indian cybersecurity talent is globally competitive and increasingly hired remotely by US and European firms at higher compensation.”
Cybersecurity capability builds slowly. Digital adoption, however, is moving much faster.
“Cybersecurity capability compounds with experience, and experience cannot be accelerated at the speed at which digital adoption is happening.”
AI is reshaping cyberattacks — and cyber talent
Artificial intelligence is dramatically changing both how attacks are carried out and how organisations defend against them.
Threat actors are already using automation and AI-powered tools to scale cyberattacks.
“AI is changing both how attacks are executed and how defence must operate.”
Attackers are now using AI to probe vulnerabilities, scan APIs and exploit application logic.
“Threat actors are already using automation and AI-driven techniques to scale exploitation, probe APIs, and abuse application logic.”
As attacks evolve, the skills required inside security teams are also shifting.
Security professionals today must understand a far wider range of risks, including those tied directly to AI systems.
“Security professionals now need a working understanding of AI risk, secure model deployment, prompt injection, LLM abuse patterns, and automation frameworks such as SOAR and AI-assisted triage.”
What cybersecurity roles now require
Cybersecurity jobs increasingly require hybrid skillsets, including:
- AI risk and model security
- Automation and security orchestration
- Application and API security
- Threat hunting and attack simulation
- Integration of security tools and infrastructure
Monitoring dashboards alone is no longer enough.
“Monitoring alone is no longer sufficient. Teams must move from reactive alert handling to proactive threat hunting.”
Cybersecurity roles are also blending with engineering and data science.
“There is also a growing need for security engineers who can code, integrate systems, and build automation, not just analysts who interpret dashboards.”
In short, the industry is shifting away from traditional monitoring-heavy security teams.
“We are moving from SOC-heavy monitoring talent to automation-first, AI-aware security architects.”
Certifications vs real-world capability
One of the most persistent hiring challenges in cybersecurity is the gap between certifications and practical experience.
Many professionals entering the workforce hold multiple credentials. Yet organisations often find those certifications do not translate into operational capability.
“The biggest disconnect lies between certification-heavy profiles and real-world incident exposure.”
Cybersecurity professionals must often make decisions with immediate business consequences.
“Cybersecurity today requires people who can answer operational questions in real time. What is the business impact? Should this traffic be blocked? Is this a reputational issue or a compliance exposure?”
This type of judgement is difficult to learn in theory.
Technical knowledge alone is not enough — security professionals must understand business risk.
“Technical depth exists, but business risk framing is often missing.” Without that ability, security teams may hesitate during critical incidents. “The gap is not just technical. It is the ability to translate security signals into business decisions.”
Hiring cyber talent is hard — retaining it is harder
Even when companies manage to hire cybersecurity professionals, keeping them is another challenge.
Demand spans almost every sector — technology, banking, fintech, e-commerce and manufacturing.
According to Tandon, cybersecurity professionals tend to stay where they are exposed to real technical challenges. “Security professionals stay where they gain exposure to complex threat environments and meaningful responsibility.”
What actually helps retain cybersecurity talent:
- Exposure to real incident response environments
- Ownership of security projects
- Structured learning and mentoring pathways
- Internal red-team and blue-team simulations
- Flexible work models
- Equity or performance-linked incentives for senior roles
“Project ownership matters. People want to work on real incidents, real architectures, and real outcomes.”
Learning pathways also matter when paired with real-world exposure. “Clear learning pathways also play an important role, especially when funded certifications are paired with structured mentoring and production exposure.”
Ultimately, professionals stay where they feel they are building expertise. “Retention improves dramatically when professionals feel they are building capability, not just responding to alerts.”
Why traditional upskilling often fails
Upskilling has become a popular solution to the cybersecurity talent gap. But Tandon believes many programmes underestimate how difficult security capability is to develop. “Cybersecurity mastery requires continuous skill stacking.”
What works best is hands-on exposure.
Effective cybersecurity learning models include:
- Shadowing live incident response teams
- War-gaming and attack simulations
- Hands-on offensive and defensive security practice
- Cross-functional exposure across DevOps and security
“What works is apprenticeship-style development. Shadowing live incident response. Participating in war-gaming and simulations.”
What does not work, she says, are static training models. “What fails is one-time certification sponsorship, generic compliance training, and static curriculum models.” Cyber threats evolve constantly, which means capability must develop through repeated real-world exposure.
“Capability develops through repeated exposure to real systems and real consequences.”
The rise of managed security models
Many companies are now turning to managed security providers to deal with limited internal expertise.
But outsourcing does not eliminate the need for internal security leaders.
“Managed security does not reduce the need for talent but rather changes the type of talent required internally.”
Organisations may outsource operational monitoring but will still require internal specialists to design security architectures and manage risk.
Internal cybersecurity teams will increasingly focus on:
- Security architecture
- Vendor governance
- Risk strategy
- Escalation and incident decision-making
“Internal teams will become smaller but more strategic. They will be architecture and oversight heavy, and far less driven by alert handling.”
Even when execution is outsourced, responsibility remains inside the organisation. “Accountability remains internal even when execution is distributed.”
The long road to building cyber capability
Looking ahead, the cybersecurity workforce in India will need to evolve significantly to keep pace with technological change.
Future-ready teams will require both technical depth and business awareness. “Future-ready teams will be AI-literate, automation-first, and fluent across cloud, application security, and emerging AI systems.”
Equally important will be the ability to communicate cyber risks clearly to business leaders. “Strong business-risk communication will matter as much as technical expertise.”
But leaders should not expect quick fixes.
Cybersecurity capability takes time to build.
“You cannot hire your way out of this gap.” Developing experienced professionals requires patience and sustained investment. “Building internal depth takes three to five years.” Until then, competition for senior cybersecurity professionals will remain intense.
“Senior cybersecurity talent will continue to command premium compensation.” In the end, the cybersecurity talent gap reflects a simple reality: technology may evolve quickly, but expertise does not. “Cybersecurity capability is built patiently, through experience, process discipline, and long-term investment.”
