Hexaware releases investor presentation for AI day 2026 event

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Reviewed by
Suketu GScanX News Team
Key Highlights
  • Hexaware Technologies released its investor presentation for Hexaware AI day 2026
  • The event is scheduled for August 21, 2026, at 10:00 am in Chennai
  • The disclosure was made pursuant to Regulation 30 of SEBI LODR Regulations
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Hexaware Technologies has released its investor presentation for the Hexaware AI day 2026 event. The company announced the disclosure on August 21, 2026.

The presentation is available for analysts and investors ahead of the event scheduled for Friday, August 21, 2026, at 10:00 am in Chennai.

Regulatory Disclosure

Hexaware Technologies made the disclosure pursuant to Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. This follows an earlier intimation issued on August 6, 2026, regarding the upcoming event.

Accessing the Presentation

The presentation is hosted on the company's website. Investors can access the material via the provided link on the Hexaware Technologies investor relations page.

Historical Stock Returns for Hexaware Technologies

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What specific AI-driven revenue growth targets or market share goals did Hexaware outline for the 2026-2027 fiscal period in the presentation?

How does Hexaware's new AI strategy differentiate its service offerings from larger competitors like TCS or Infosys in the enterprise automation space?

Are there any announced partnerships with major cloud providers or AI model developers that will accelerate Hexaware's go-to-market strategy?

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Hexaware introduces Zero Vulnerability cybersecurity offering

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Reviewed by
Ritika DScanX News Team
Key Highlights

Hexaware Technologies launched the Zero Vulnerability cybersecurity offering on August 19, 2026, to help enterprises manage the rising volume of AI-discovered vulnerabilities. Delivered through its Zerovity platform, the offering prioritizes risks and verifies remediation across custom applications, SaaS, and operating systems. This new capability is a key pillar of the company's broader Zero Friction Enterprise framework.

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Hexaware Technologies introduced the Zero Vulnerability cybersecurity offering on August 19, 2026, designed to address the growing pressure on enterprise remediation caused by AI-driven vulnerability discovery. The company noted that while AI helps surface vulnerabilities faster, security and engineering teams often lack the capacity to investigate and fix them efficiently.

Citing the Verizon 2026 Data Breach Investigations Report, Hexaware highlighted that only 26% of critical Known Exploited Vulnerabilities were fully remediated last year, down from 38%. The median time to resolve these issues rose from 32 to 43 days, with 99% of AI-discovered vulnerabilities remaining unremediated. The new offering aims to help organizations sort through findings, identify high-risk items, and verify removal in production rather than simply marking tickets as closed.

Delivered through Zerovity, Hexaware’s AI-led delivery layer, the offering combines cybersecurity expertise, engineering, and remediation operations across all variants of IT systems. These include custom applications, SaaS and PaaS environments, third-party software, and operating systems. The platform supports the lifecycle from ingestion and validation through prioritization, routing, fixing, verification, and closure, integrating with existing security tools rather than requiring replacements.

“AI is making vulnerability discovery dramatically faster, but enterprise remediation capacity remains finite. Zero Vulnerability is about changing that equation, cutting through the noise, identifying what truly matters, accelerating remediation, and proving that critical exposure has actually been removed,” said Mohit Vaish, EVP and Business Head of Cybersecurity at Hexaware.

Hexaware’s internal evaluation demonstrated the importance of validation. Across four detection lanes on production codebases, 334 findings were consolidated, of which 14 were ultimately verified as real. A developer-validated review of 262 findings also identified a new authentication-bypass weakness that pattern-based rules had missed.

What the Numbers Show

The effectiveness of the offering is underscored by the significant reduction in false positives during Hexaware's internal testing. With only 14 out of 334 consolidated findings verified as real—a validation rate of roughly 4.2%—the data highlights the potential for AI-driven prioritization to reduce wasted effort on non-critical alerts. Furthermore, the identification of an authentication-bypass weakness missed by standard rules suggests that combining AI with human review can uncover security gaps that purely automated systems might overlook.

Integration with Zero Friction Enterprise

Zero Vulnerability serves as a key pillar within Hexaware’s Zero Friction Enterprise framework, which was introduced on August 17, 2026. The broader framework addresses operational and technological resistance across six pillars: Zero Vulnerability, Zero Tech Debt, Zero Backlog, Zero Defects, Zero Tickets, and Zero License. It is underpinned by Infinite Trust, a foundational layer focused on data readiness, security, governance, and observability.

Siddharth Dhar, President and Global Head of Digital IT Operations and AI at Hexaware, noted that the new offering gives teams a consistent way to prioritize and manage work across the technology estate. “AI helps get each issue to the right action and owner faster,” Dhar said, emphasizing the role of the agentic cognitive layer in providing a unified command center for intelligence and improvements.

Historical Stock Returns for Hexaware Technologies

1 Day5 Days1 Month6 Months1 Year5 Years
+0.57%-4.74%-1.50%+5.06%-29.27%-28.23%

How will the introduction of competing AI-driven remediation platforms impact Hexaware's market position in the cybersecurity sector?

What are the potential scalability challenges for Zero Vulnerability when deployed across large-scale, multi-cloud enterprise environments?

Could the reliance on an 'agentic cognitive layer' introduce new risks related to AI hallucinations or adversarial attacks during the prioritization process?

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