Insights · tech brief
Network Security in India: A Deep Patent Bench and a Wide-Open Startup Field
India's network security patent activity is rising, yet few deep-tech startups have entered the space, leaving a significant commercialisation gap.
Published 20 Jul 2026
- Patents mapped to network security
- 284
- Patent-holding startups
- 30
- Companies in our data (profile match)
- 12
- Computing-AI sector funding
- $2.4B across 368 companies
What it is
Network security protects communication infrastructure, systems, and data from unauthorised access, misuse, and cyberattacks. It enforces the CIA triad — confidentiality, integrity, and availability — across on-premises, cloud, and remote environments.
Defences operate in layers: physical controls secure hardware; technical controls include firewalls, intrusion prevention, and encryption; administrative controls enforce policies and user access. Modern strategies increasingly adopt zero-trust architectures and Secure Access Service Edge (SASE) to safeguard distributed users and workloads.
Why it matters: every digital transaction, remote worker, and connected device expands the attack surface. A single breach can cripple operations, leak sensitive data, and trigger regulatory penalties, making network security foundational to digital trust.
The value chain
The network security value chain spans hardware, software, services, and end-user verticals. Margins and defensibility concentrate in integrated platforms and managed services, where recurring revenue and switching costs are highest.
- Upstream – Hardware & Components: Routers, switches, firewalls, and SASE appliances. Dominated by incumbents like Cisco and Fortinet; commoditisation pressure is high, but custom silicon and ASICs offer differentiation.
- Midstream – Security Software & Solutions: Next-gen firewalls, intrusion detection/prevention, unified threat management, and cloud security platforms. This is where AI/ML integration and zero-trust architectures create defensible moats. Key players: Palo Alto Networks, Zscaler, VMware.
- Midstream – Security Services: Managed detection and response, threat intelligence, incident response, and consulting. High-touch, sticky revenue; local presence and regulatory expertise matter. Indian IT services firms are expanding here.
- Downstream – End Users: Enterprises in BFSI, IT/telecom, government, healthcare, and manufacturing. Compliance mandates (e.g., India's DPDP Act) and rising cyber insurance requirements drive demand.
Where it's heading
Global and India-specific trends point toward AI-driven security, identity-first architectures, and cloud-delivered models. The shift is accelerated by hybrid work and escalating supply chain risks.
- AI/ML integration: 64% of Indian organisations plan multi-year AI/ML security roadmaps; 40% are already in pilot or proof-of-concept stages (DSCI and Palo Alto Networks Report). Use cases include anomaly detection, automated response, and predictive analytics.
- Zero-trust and SASE: Perimeter-based models are giving way to identity-centric, cloud-delivered security. Gartner identifies identity threat detection and response (ITDR) as a top priority, driven by AI-enabled attacks and regulations like India's DPDP Act.
- Cloud-deployed security: The fastest-growing segment, with managed security services also expanding rapidly (MarketsandMarkets via Yahoo Finance). Indian enterprises are shifting from on-premise appliances to cloud-native controls.
- Supply chain cybersecurity: Backdoor attacks and third-party risks are pushing organisations to vet suppliers and adopt hardware-rooted trust (PSA Certified). This is especially relevant for India's manufacturing and IoT ambitions.
- India spending growth: Network security spending in India is projected to reach USD 437 million in 2026, up from USD 393 million in 2025, an 11.1% increase (Gartner). Startups, however, face a 63% rise in cyberattacks (CERT-In 2023) and struggle with limited resources and DPDP Act compliance.
The opportunity in India
India's patent activity in network security is strong and rising — 284 patents mapped in our dataset, with published filings trending up even before the last two years fully publish. This signals sustained inventive output, likely from IT services firms, research labs, and a handful of startups.
Yet the commercial startup landscape remains thin. Our data lists only 12 deep-tech companies whose profiles explicitly reference network security. Separately, 30 startups hold at least one patent in the space, but many of these are early-stage or pre-commercial. The gap between patent creation and company formation points to a large white space for ventures that can productise research into deployable solutions.
Funding data for the broader computing-AI sector shows $2.4 billion raised across 368 companies, but network security-specific rounds are not separately tracked. This suggests either underinvestment or a lack of dedicated startups seeking capital. With India's regulatory push (DPDP Act) and rising enterprise spending, a well-timed startup could capture significant value by addressing local compliance, SME security, or AI-driven threat detection.
India signal: patents, startups, capital
Our dataset maps 284 patents to network security, with momentum described as rising — a strong signal given that the latest filings are not yet fully published. The dominant sector is computing-AI.
On the company side, 12 deep-tech firms in our data reference network security in their profiles. Examples include ESHA LABS LLP (Udupi), CYSAVVI SOLUTIONS (Bengaluru), BESTPATH COMMUNICATIONS (Pune), and Divistha Networks (Bengaluru). Separately, 30 startups hold patents in this technology; the sample includes ApexCognita (Hyderabad), CIPHERIUM (Prakasam), and QBITONIX TECHNOLOGIES (Gautam Buddha Nagar), alongside larger entities like Google and Infosys that also appear as patent assignees.
Capital flows are visible only at the sector level. The computing-AI sector has seen $2.4 billion in total funding across 368 companies, with a median raise of $1.4 million. Notable funded names in the sector include Teknuance ($813.7M), Polygon ($450M), and Sarvam AI ($275M), though these are not necessarily network security pure-plays. Dedicated network security startup funding remains opaque in our data, reinforcing the early-stage nature of the India ecosystem.
Knowledge graph
How the technologies, companies and players in this briefing connect.
technology
application
sector
player
company
- Network Security includes Firewalls & IPS
- Network Security trend Zero-Trust Architecture
- Network Security trend SASE
- Network Security enhanced_by AI/ML in Security
- Network Security deployed_on Cloud Security
- Network Security applied_to IoT/OT Security
- Network Security applied_to Supply Chain Security
- BFSI consumes Network Security
- Government consumes Network Security
- IT/Telecom consumes Network Security
- Cisco offers Firewalls & IPS
- Palo Alto Networks offers Zero-Trust Architecture
- Fortinet offers SASE
- Zscaler offers Cloud Security
- ApexCognita patent_in Network Security
- CIPHERIUM active_in Network Security
- Divistha Networks active_in Network Security
In our data
Startups
Sectors
Technologies
Sources
- What Is Network Security? ↗
- Network Security ↗
- What Is Network Security? Definition and Types ↗
- Cybersecurity in the Supply Chain ↗
- What is supply chain security? ↗
- Top 10: supply chain cybersecurity companies 2022 ↗
- Network Security Market worth $119.70 billion by 2030 ↗
- Network Security Market Size, Growth, Share & Forecast ... ↗
This briefing is AI-generated from Deeptech Navigator's patent and startup data and lightly reviewed before publishing. Treat it as a starting point, not professional advice — figures are directional, so verify before relying on any number. The platform takes no responsibility for decisions made on it.
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