Netskope vs Signzy

Netskope has a disclosed valuation of $7.3B, while Signzy's valuation is not publicly available, making a direct size comparison difficult. Netskope employs 2500 people.

Netskope has raised more in total funding at $1.4B, compared to Signzy's $26M — a gap of $1.4B. Combined, the two companies have completed 6 known funding rounds.

Netskope holds the higher Awaira Score at 78/100, compared to Signzy's 63/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 15-point gap that reflects meaningful differences in scale or traction.

Netskope was founded by Sanjay Beri in 2012. Signzy was founded by Nikhil Idnani in 2015. Visit each company's profile on Awaira for a full founder biography.

Netskope: Netskope is a cloud-native security platform founded in 2012 that protects organizations against data exfiltration and cyber threats across cloud applications and web services. The company operates a Security Service Edge (SSE) platform combining cloud access security brokers (CASB), firewall-as-a-service (FWaaS), and secure web gateway (SWG) capabilities. Its architecture inspects traffic inline to detect and prevent unauthorized data access, malware, and policy violations. Netskope leverages machine learning and behavioral analytics to identify anomalous user activity and emerging threats. The platform integrates with enterprise identity and data loss prevention systems, serving organizations across financial services, healthcare, technology, and government sectors. Netskope went public on September 21, 2021, at a valuation of approximately $7.3 billion, having raised $1.44 billion across multiple funding rounds. The company competes with established security vendors including Palo Alto Networks, Zscaler, and Fortinet in the cloud security market. Netskope's growth trajectory reflects increased enterprise demand for cloud-first security architectures as organizations accelerate digital transformation. The company expanded its AI security capabilities to address emerging threats in large language model deployments and generative AI adoption among enterprises. Netskope uniquely combines SSE infrastructure with AI-driven threat detection to protect both legacy and cloud-native workloads in a single platform. Signzy: Signzy is a digital identity verification and KYC automation platform that uses AI-powered document analysis, liveness detection, and database integration to enable financial institutions and regulated businesses to onboard customers remotely with regulatory compliance. The platform processes identity documents, conducts video KYC, and provides risk scoring through APIs that integrate with banking and fintech onboarding workflows.\n\nThe company raised approximately $26M in Series B funding from investors including Vertex Ventures and Arkam Ventures, and serves a large base of banks, NBFCs, insurance companies, and fintech platforms in India. Signzy processed tens of millions of KYC verifications and has been recognized by the Reserve Bank of India for its video KYC framework contributions.\n\nVideo KYC and digital identity verification have become mandatory for regulated financial services in India, creating a large and recurring market for compliant identity infrastructure. Signzy's deep regulatory expertise and production track record across India's financial system give it a significant advantage over generic identity verification platforms that lack India-specific compliance depth.

Netskope was founded first in 2012, giving it 3 years of additional market experience. Signzy was founded later in 2015. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Netskope has approximately 2500 employees, while Signzy has approximately 200-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Netskope and Signzy are direct competitors — both operate in the AI Security space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.