TAC InfoSec Reports 88% Revenue Growth in FY26

6 min read     Updated on 15 May 2026, 11:59 AM
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Reviewed by
Jubin VScanX News Team
AI Summary

TAC InfoSec Limited announced its financial results for the year ended March 31, 2026, reporting an 88% year-on-year increase in Revenue from Operations to ₹57.26 Cr. Profit After Tax rose 78% to ₹26.35 Cr, while EBITDA grew 81% to ₹30.75 Cr, with margins maintained at 53.8% and 46.1% respectively despite tax normalization. The company highlighted strong cash collection of ₹45.64 Cr and continued platform-led growth through ESOF, Socify.ai, and CyberScope.

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TAC InfoSec Limited announced its financial results for the year ended March 31, 2026, reporting strong revenue growth and sustained profitability. The company posted Revenue from Operations of ₹57.26 Cr for FY26, reflecting 88% year-on-year growth, while maintaining high operating margins even as tax benefits normalised during the year.

FY26 Financial Performance

The company delivered robust growth across all key financial metrics for FY26. EBITDA rose 81% year-on-year to ₹30.75 Cr, with an EBITDA margin of 53.8%, marginally higher than the 53.0% recorded in FY25. Profit After Tax stood at ₹26.35 Cr, up 78% YoY, with a PAT margin of 46.1% compared to 46.0% in FY25, despite the end of the tax holiday and taxes being paid during the year.

The following table summarises the company's key financial metrics for FY25 and FY26:

Metric: FY25 FY26 Growth
Total Revenue: ₹30.50 Cr ₹57.26 Cr 88%
Total Expense: ₹16.41 Cr ₹29.35 Cr 79%
EBITDA: ₹17.03 Cr ₹30.75 Cr 81%
PAT: ₹14.83 Cr ₹26.35 Cr 78%
EBITDA Margin: 53.0% 53.8% Maintained
PAT Margin: 46.0% 46.1% Maintained

Tax-Normalised Profitability

FY26 marked a notable milestone for TAC InfoSec as the company maintained its PAT margin at 46.1%, compared to 46.0% in FY25, even after the expiry of its tax holiday and the commencement of tax payments during the year. The stability in margins underscores that the company's profitability is driven by core operating performance, automation-led delivery, and platform leverage, rather than one-time tax benefits or non-operating income.

FY26 Other Income was reported at ₹(0.08) Cr, a decrease from ₹1.70 Cr in FY25, primarily due to a negative fair-value movement of approximately ₹1.52 Cr on the crypto treasury. Before this impact, Other Income was approximately ₹1.45 Cr.

Cash Collection and Conversion

The company collected ₹45.64 Cr against FY26 invoicing, representing approximately 80% of FY26 operating revenue. This reflects strong collection discipline as the business scaled across enterprise, developer, Web3, and international customer segments.

Platform-Led Growth Drivers

TAC InfoSec continues to operate as an automation-led cybersecurity platform, with ESOF (Enterprise Security in One Framework) at the core of its vulnerability management, application security, and cyber-risk offerings. The company's platform architecture is supported by multiple growth engines, including ESOF, Socify.ai, and CyberScope.

During FY26, the company continued building on strategic developments including its expanding global customer base, CyberScope integration, U.S. and Canada R&D growth initiatives, and the evolution of Socify.ai as a compliance automation player. Key operational milestones include:

  • Scaling its customer base toward 10,000+ clients
  • Expanding presence across 100+ countries
  • Maintaining high profitability through scalable platform operations
  • Strengthening its position as a global cybersecurity platform

Management Commentary

Trishneet Arora, Founder & CEO of TAC InfoSec Limited, commented on the results:

"FY26 validates the strength of TAC's automation-led cybersecurity platform. We delivered 88% operating revenue growth while maintaining 53.8% EBITDA margin and 46.1% PAT margin even after-tax normalization. This is proof that TAC is not only growing fast, but growing profitably and globally. Our focus remains on scalable cybersecurity, strong execution, disciplined profitability, and long-term shareholder value creation."

Historical Stock Returns for TAC Infosec

1 Day5 Days1 Month6 Months1 Year5 Years
-4.99%-19.40%-25.83%-51.14%-68.09%+34.63%

How will TAC InfoSec deploy the remaining ₹787.52 lakhs of unutilised IPO funds in HR and product development, and what impact could this have on revenue growth in FY27?

Given the sharp rise in trade receivables from ₹9.92 Cr to ₹22.82 Cr alongside slower operating cash flow growth, what risks does this pose to the company's working capital management going forward?

With CyberScope and TAC Security Inc. now contributing significantly to consolidated revenues, what is the company's strategy for further international acquisitions or partnerships to sustain its 88% growth trajectory?

TAC InfoSec Subsidiary Cyberscope Launches Cyberscan AI to Democratise Web3 Smart Contract Security

4 min read     Updated on 14 May 2026, 10:35 PM
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Reviewed by
Ashish TScanX News Team
AI Summary

TAC InfoSec Limited's subsidiary Cyberscope Web3 Security Inc. launched Cyberscan AI on May 13, 2026, an AI-powered smart contract security platform offering free developer scanning backed by 150,000+ real-world vulnerabilities, with monetisation via paid audit badges. The platform targets pre-audit vulnerability validation for Web3 developers globally, with revenue visibility expected over 2–3 quarters. Cyberscope has completed 2,700+ audits and secured $2 billion+ in digital assets, while TAC Security serves 10,000+ clients across 100+ countries.

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TAC InfoSec Limited's subsidiary, Cyberscope Web3 Security Inc., has launched Cyberscan AI, an AI-powered smart contract security platform designed to make Web3 audits faster, more accessible, and free for developers at the earliest stage of building. The announcement was made pursuant to Regulation 30 of SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015, filed with the National Stock Exchange of India Limited, and signed by Trishneet Arora, Chairman, Executive Director & CEO of TAC InfoSec Limited (DIN: 07567604). The launch was simultaneously announced from Mumbai and New York, underscoring the product's global positioning.

Product Overview

Cyberscan AI is designed to serve the international market, positioning Cyberscope as a competitive player among the world's leading Web3 security auditors. The platform introduces a validation-led model for smart contract security, using artificial intelligence to help developers identify which risks are real, which are theoretical, and which require immediate action. The product offers free smart contract scanning capabilities for developers, while official audit badges and licensed validations are available through a paid licensing model. The key details of the product launch are summarised below:

Parameter: Details
Name of the Product: Cyberscan AI
Date of Launch: May 13, 2026
Category: AI-powered Smart Contract Security Scanning Product
Market Coverage: International Market
Countries of Launch: Global
Vulnerability Dataset: 150,000+ real-world vulnerabilities
Developer Access: Free smart contract scanning
Monetisation Model: Paid audit badges and licensed validations

Platform Capabilities

Cyberscan AI combines structural code intelligence with a vulnerability dataset of more than 150,000 real-world vulnerabilities, alongside an AI-driven validation engine that assesses whether a vulnerability actually exists in the contract being reviewed. The platform is built to reduce false positives, improve signal quality, and help teams move from detection to decision-making faster. It is designed to sit before the traditional audit process, helping projects clean up major risks earlier and reduce back-and-forth audit cycles.

The platform integrates the following technical components:

  • AST-level code understanding
  • Vector-based similarity mapping across historical exploits
  • AI-driven validation and contextual reasoning
  • Developer-friendly smart contract scanning
  • High-confidence risk prioritisation before formal audits

The platform is expected to support free and accessible smart contract security checks for Web3 developers, faster pre-audit vulnerability discovery, lower audit iteration costs, shorter deployment and listing timelines, stronger readiness for exchanges, investors, and institutional partners, and improved confidence in digital-asset infrastructure.

Strategic Intent and Executive Commentary

The launch marks a strategic push by Cyberscope into one of the most critical layers of digital-asset infrastructure: real-time vulnerability validation before a project reaches formal audits, exchange listings, investor diligence, or large-scale user adoption. The freemium model — offering free scanning for developers while monetising through paid audit badges and licensed validations — is structured to drive adoption across the developer community while building a revenue pipeline. The regulatory filing notes that revenue visibility is expected over the next 2–3 quarters.

Saransh Rawat, President of Cyberscope and CTO at TAC Security, commented on the broader shift driving the launch:

"Web3 security is entering a new phase where speed alone is not enough. Developers, exchanges, and institutions need confidence that the vulnerabilities being flagged are real, material, and actionable. Cyberscan AI is our answer to that shift. By making AI-powered smart contract scanning free and accessible, we are helping developers validate risk earlier, reduce audit friction, and move from code to market with greater confidence."

Rawat further elaborated on the platform's role in the developer lifecycle:

"The future of smart contract security will not be defined only by final-stage audits. It will be defined by continuous validation before audits, before listings, and before scale. Cyberscan AI gives Web3 teams an early intelligence layer that helps them build security into their foundation from day one."

Ecosystem Presence and Company Background

Cyberscope has been expanding its presence across high-trust blockchain ecosystems. The company is active within the TON ecosystem, a Layer 1 blockchain network, and has previously announced a collaboration with Circle, the issuer of USDC, focused on supporting secure and compliant digital-asset infrastructure. The launch builds on TAC Security's milestone of crossing 10,000 clients across 100+ countries, reinforcing its position as a rapidly scaling global cybersecurity company.

The following table summarises key metrics for both Cyberscope and TAC Security:

Metric: Details
Smart Contract Audits Completed: 2,700+
KYC Verifications: 500+
Digital Assets Secured: $2 billion+
Cyberscope Clients: 3,000+
TAC Security Global Clients: 10,000+
Countries Served: 100+
Ecosystem Partnerships: TON (Layer 1), Circle (USDC issuer)

TAC Security's flagship platform, ESOF (Enterprise Security in One Framework), enables cyber risk quantification, vulnerability assessment, and AI-driven security analysis. The company holds certifications including CREST and ISO standards, and partners with global technology companies such as Google, Microsoft, and Meta. Through Cyberscope, TAC Security is extending its momentum into high-growth Web3 markets, including exchange ecosystems, DeFi platforms, token projects, and institutional blockchain adoption. The product launch was also streamed live on YouTube, with Cyberscan AI accessible at the official Cyberscope platform.

Historical Stock Returns for TAC Infosec

1 Day5 Days1 Month6 Months1 Year5 Years
-4.99%-19.40%-25.83%-51.14%-68.09%+34.63%

How will Cyberscan AI's freemium model compete against established Web3 security players like CertiK and OpenZeppelin, and could pricing pressure force a shift in its monetisation strategy before revenue visibility materialises in 2–3 quarters?

Given Cyberscope's existing collaboration with Circle and presence in the TON ecosystem, which major blockchain networks or DeFi protocols are most likely to be targeted for strategic partnerships to accelerate Cyberscan AI adoption?

As AI-driven smart contract auditing tools proliferate, how might regulators in key markets like the EU or US respond with compliance requirements that could affect the legitimacy of AI-issued audit badges versus traditional human-led audits?

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