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Reliance Global Group Launches AI Agent for Secure Browser Automation in Regulated Insurance Back Offices

(Moderate)
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AI

Reliance Global Group (NASDAQ: EZRA) launched a proprietary AI agent for secure browser automation in regulated back-office environments, initially targeting insurance operations. Built in-house, the agent is designed to automate thousands of repetitive portal tasks such as service requests, endorsements, quote pulls, status checks, and document retrieval under a compliance-focused security framework.

The system manages logins and portal credentials, applies policy-enforced action controls, blocks irreversible actions for AI, and requires human approval before finalizing transactions. It generates audit-grade run records with screenshots and event logs, applies code-defined risk classifications, and includes verification checks to catch potential errors. Reliance plans to deploy the platform across its agency network and offer commercial tiers, including free developer, Team, and Enterprise plans with self-hosted and VPC options.

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AI-generated analysis. How Rhea-AI works. Not financial advice.

Positive

  • Launch of proprietary AI agent for regulated browser-based back-office automation
  • Built-in policy controls that block irreversible actions and require human approval
  • Audit-grade logging with step-by-step event records and screenshots for each workflow
  • Secure credential handling keeping portal credentials under agency control at runtime
  • Commercial offering roadmap with developer, Team, and Enterprise tiers including self-hosted and VPC options

Negative

  • None.

Market Context

Placed against a backdrop of mixed reactions to recent catalysts and relatively low short positionin...
Analysis

Placed against a backdrop of mixed reactions to recent catalysts and relatively low short positioning, this AI agent launch fits into Reliance’s ongoing pivot toward technology-driven insurance operations. Investors may watch whether subsequent AI milestones track more with aligned or divergent price responses.

Key Figures

NAIC Model: 668 NY DFS: 500
2 metrics
NAIC Model 668 Regulatory framework cited for insurance operations
NY DFS 500 New York cybersecurity regulation referenced for compliance

Historical Context

5 past events · Latest: Jun 22 (Positive)
Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jun 22 Leadership and strategy Positive +6.6% New COO, CTO, and EVP appointed to drive dual AI-focused insurance strategy.
Jun 03 Nasdaq compliance Positive -4.9% Company regained compliance with Nasdaq minimum bid price listing requirement.
Jun 01 Quantum security update Positive +4.6% Update on Enquantum post-quantum encryption progress amid growing sector interest.
May 18 5G deployment update Positive -5.4% Enquantum private 5G deployment and Israel Innovation Authority–approved project completion.
May 14 Reverse stock split Negative -26.4% 1-for-40 reverse split to address Nasdaq $1.00 minimum bid price rule.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Recent news has produced mixed reactions, with slightly more events moving in the direction suggested by the news tone than against it.

Key Terms

human-in-the-loop, audit trail, glba, virtual private cloud (vpc)
4 terms
human-in-the-loop technical
"brings secure environments, policy-enforced action controls, human-in-the-loop review, and audit-grade records"
Human-in-the-loop describes systems where people supervise, check, or make final decisions on work performed by automated tools or algorithms. Like a pilot overseeing an autopilot, humans step in to catch errors, interpret nuance, and apply judgment that machines may miss. For investors, this matters because human oversight can reduce operational and regulatory risk, improve decision quality, and increase trust in results produced by automated systems.
audit trail technical
"every browser interaction is governed by defined policies and recorded through an audit trail"
A chronological record that shows who performed each action, when it happened, and what was changed across financial systems and documents; it logs transactions, edits, approvals, and access so every step can be traced. For investors, an audit trail matters because it boosts trust and accountability—helping detect errors or fraud, supporting audits and regulatory checks, and making financial reporting and due diligence clearer, like a transaction-level receipt for a company’s records.
glba regulatory
"teams operate under regulatory frameworks including GLBA, NAIC Model 668, and NY DFS 500"
A U.S. federal law that sets rules for how financial institutions collect, share, and protect customers’ nonpublic personal information. Think of it like a set of privacy and security rules that require firms to disclose their information-sharing practices, implement safeguards to protect customer data, and limit when they can share sensitive information. It matters to investors because compliance affects a firm's legal risk, costs, operational controls, and reputation, all of which can influence financial performance.
virtual private cloud (vpc) technical
"including self-hosted and virtual private cloud (VPC) deployments"
A virtual private cloud (VPC) is an isolated, private section of a public cloud provider’s network where a company can place its servers, databases and applications with its own IP addresses, subnets, routing rules and security controls. Like a fenced-off yard inside a shared apartment complex, it gives firms control and separation of their cloud resources. Investors watch VPC use because it affects a company’s data security, regulatory compliance, scalability and cloud costs.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Reliance's proprietary AI agent brings secure environments, policy-enforced action controls, human-in-the-loop review, and audit-grade records to regulated industries, beginning with insurance back offices

LAKEWOOD, NJ, July 14, 2026 (GLOBE NEWSWIRE) -- Reliance Global Group, Inc. (NASDAQ: EZRA) today announced the launch of a proprietary AI agent built in-house for secure browser automation in regulated back-office operations. The launch represents a key milestone in Reliance’s previously announced AI strategy, establishing the technology foundation for the Company’s vision to build an AI-powered insurance platform. The agent is built to automate thousands of repetitive browser-based tasks performed by insurance teams every day, including service requests, endorsements, quote pulls, status checks, and document retrieval, while operating within a security framework designed for regulatory compliance.

General-purpose web agents are typically designed for maximum autonomy, allowing them to execute actions independently. In regulated environments, that approach creates risk, as an automation error can result in an incorrect policy action, inaccurate pricing, or exposure of sensitive information.

Reliance's AI agent was built around control and accountability. It manages login, access, and portal credentials for the agency, while every browser interaction is governed by defined policies and recorded through an audit trail. The agent's actions are limited by predefined controls, with human review required for consequential decisions.

The platform is being deployed across Reliance's growing network of insurance agencies, where the Company expects it to improve operating efficiency, reduce manual processing, and accelerate the integration of acquired agencies. As additional carrier portals, workflows, and AI capabilities are added, Reliance expects the platform to become an increasingly valuable component of its technology ecosystem, strengthening both its agency operations and the foundation for future AI-native insurance products. The Company also intends to commercialize the platform through developer, Team, and Enterprise offerings, including self-hosted and virtual private cloud (VPC) deployments.

"Every agency we bring onto the platform comes with thousands of hours of repetitive portal work. This agent allows us to absorb that work without scaling headcount while maintaining the controls required in insurance operations," said Judah Korman, Chief Operating Officer of Reliance Global Group.

"Most AI agents built for the browser are designed to maximize what they can do independently. We built ours to maximize what it can do while keeping organizations in control," said Zack Wilder, Chief Technology Officer of Reliance Global Group, who joined the company earlier this year after leading engineering initiatives at Coinbase and Capital One. "The credentials, policy controls, and audit logs are foundational to the system and are what allow us to deploy AI automation in regulated environments."

The AI agent includes several enterprise-grade capabilities:

  • Policy-enforced action controls. Every browser action passes through a centralized enforcement layer built into the software. Irreversible actions such as submit, issue, or bind are blocked outright and reserved for human employees.
  • Save-and-park human review. The AI agent never finalizes a transaction. Completed work is saved within the portal and held for employee approval, with every run independently scored against its own screenshots and event logs — not the agent's self-report — and flagged for scrutiny if anything falls short.
  • Secure credential handling. Portal credentials remain under the agency's control, retrieved securely by the platform at runtime and never exposed to the AI model or recorded in logs, records, or reports.
  • Detailed run records. Every workflow produces a step-by-step event log with screenshots, designed to support reporting, review, and compliance oversight.
  • Risk controls and verification safeguards. Every task type carries a risk classification assigned in code — never by the AI — that determines what actions are permitted, alongside verification checks that catch potential errors, including unintended pricing changes.

The proprietary AI agent launches with an initial focus on Reliance's insurance back-office operations, its agency network, and the carriers it works with, where teams operate under regulatory frameworks including GLBA, NAIC Model 668, and NY DFS 500. As additional workflows and portals are added, Reliance expects the technology to expand beyond insurance back-office automation and support broader regulated enterprise use cases.

Reliance is onboarding design partners and plans to offer the technology through multiple tiers, including a free developer tier, Team workspace, and Enterprise plan with self-hosted and virtual private cloud (VPC) deployment options. Each tier will include the core security controls, human review capabilities, and audit-ready reporting framework.

The launch represents the first major technology milestone in Reliance's broader AI strategy to build an AI-powered insurance platform. As the Company continues developing additional capabilities, the technology is expected to support both agency operations and future AI-native insurance products.

About Reliance Global Group

Reliance Global Group, Inc. (NASDAQ: EZRA) is an Insurtech company that acquires independent insurance agencies, consolidates them into a unified network, and supports them through a proprietary technology platform. For more information, visit www.relianceglobalgroup.com.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, Section 21E of the Securities Exchange Act of 1934, as amended, and the Private Securities Litigation Reform Act of 1995. These statements can be identified by the use of forward-looking terminology such as "believes," "expects," "anticipates," "intends," "plans," "designed to," "positioned to," "vision," "will," "continues," "potential," "opportunity," and similar expressions, or by discussions of strategy, plans, or intentions. Forward-looking statements in this press release include, without limitation, statements regarding: the capabilities, performance, security, and anticipated benefits of the Company's proprietary AI agent; the deployment of the platform across the Company's network of insurance agencies and its expected impact on operating efficiency, manual processing, and the integration of acquired agencies; the Company's ability to add additional carrier portals, workflows, and AI capabilities; the Company's plans to commercialize the platform through developer, Team, and Enterprise offerings, including self-hosted and virtual private cloud (VPC) deployments; the onboarding of design partners; the anticipated expansion of the technology beyond insurance back-office operations to broader regulated enterprise use cases; and the Company's broader strategy to build an AI-powered insurance platform and to develop future AI-native insurance products.

These statements are based on management's current beliefs, assumptions, and expectations and are subject to a number of risks and uncertainties, many of which are beyond the Company's control. Actual results, performance, or achievements may differ materially from those expressed or implied by any forward-looking statement.

These risks and uncertainties include, among others: whether the AI agent and platform will perform as intended and deliver the anticipated efficiency, accuracy, and compliance benefits; the risk of automation errors, security incidents, or system failures; the Company's ability to develop, deploy, and scale additional capabilities, carrier portals, and workflows on the anticipated timeline or at all; the Company's ability to commercialize the platform and to attract and retain design partners and customers across the contemplated tiers; the Company's ability to acquire and successfully integrate insurance agencies; evolving legal, regulatory, and industry requirements applicable to artificial intelligence and to regulated industries, including GLBA, NAIC Model 668, and NY DFS Part 500; competition and rapid technological change; and the Company's need for, and ability to obtain, additional financing. Additional information concerning these and other risks and uncertainties is contained in the Company's filings with the Securities and Exchange Commission, including its Annual Report on Form 10-K and its subsequent Quarterly Reports on Form 10-Q and Current Reports on Form 8-K, which are available at www.sec.gov.

The Company cautions readers not to place undue reliance on any forward-looking statements, which speak only as of the date of this press release. Except as required by applicable law, the Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise.

Media Contact
Michael Goldberg
michael@mmstratcomms.com

Investor Contact:
Crescendo Communications, LLC
Tel: +1 (212) 671-1020
Email: EZRA@crescendo-ir.com


FAQ

What did Reliance Global Group (NASDAQ: EZRA) announce on July 14, 2026?

Reliance Global Group announced the launch of a proprietary AI agent for secure browser automation in regulated insurance back offices. According to Reliance Global Group, the in-house system automates portal-based tasks under strict policy controls, human review, and audit-ready logging for compliance-focused operations.

How does Reliance Global Group's EZRA AI agent improve insurance back-office automation?

The AI agent automates repetitive browser tasks like service requests, endorsements, quote pulls, and status checks. According to Reliance Global Group, it operates within policy-enforced controls, uses human-in-the-loop approval, and generates detailed event logs and screenshots to support reporting, review, and regulatory compliance in insurance operations.

What security and compliance features are built into Reliance Global Group's AI agent (EZRA)?

The agent uses policy-enforced action controls, risk classifications, and verification safeguards to govern browser actions. According to Reliance Global Group, it blocks irreversible actions for AI, keeps portal credentials under agency control, and records each workflow with audit-grade logs and screenshots for compliance oversight.

Will Reliance Global Group commercialize its AI browser automation platform for other users?

Reliance Global Group intends to commercialize the platform through developer, Team, and Enterprise offerings. According to Reliance Global Group, plans include a free developer tier, Team workspace, and Enterprise plan with self-hosted and virtual private cloud deployment, all retaining core security and human review controls.

Which regulated frameworks does Reliance Global Group's AI agent initially support in insurance back offices?

The AI agent initially targets operations subject to frameworks such as GLBA, NAIC Model 668, and NY DFS 500. According to Reliance Global Group, it focuses first on its own insurance back-office operations, agency network, and carrier portals under these regulatory requirements and related oversight needs.

How does human-in-the-loop review work in Reliance Global Group's EZRA AI agent?

The AI agent never finalizes transactions; it saves completed work in portals for employee approval. According to Reliance Global Group, each run is scored against screenshots and event logs, with items flagged for additional scrutiny if any element falls short of configured expectations or checks.

What deployment options are available for Reliance Global Group's AI automation platform?

Reliance Global Group plans multiple tiers, including self-hosted and virtual private cloud deployments for Enterprise customers. According to Reliance Global Group, all tiers, from free developer to Team and Enterprise, will include core security controls, human review mechanisms, and an audit-ready reporting framework for regulated use cases.