How Rogo Secured AI-Native Financial Services at Hyper-Growth Scale

From alert fatigue to confident, automated security operations in weeks—with Red and Green Agents leading the transformation.

Rogo.ai

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Wiz CloudWiz Code

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Wiz SensorCSPMCIEMWiz Agents

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Challenge

  • Too many findings, not enough context: Existing tools generated noisy alerts without clear prioritization, making it difficult to focus on the risks that mattered most.

  • Security at startup speed: Rapid growth and expanding cloud environments required security that could scale without slowing the business down.

  • Balancing innovation and compliance: Serving leading financial institutions meant meeting rigorous security expectations while maintaining the agility of an AI-native company.

Solution

  • Context-driven cloud security: Wiz unified visibility across AWS and GCP, connecting infrastructure and code to reduce noise and prioritize risk.

  • Fast time to value: Rogo deployed 95 runtime sensors across both cloud environments in just two weeks.

  • Proactive security operations: Red and Green Agents delivered continuous exploitability validation, faster remediation, and actionable context that helped the team stay ahead of emerging threats.

95 runtime sensors deployed icon

95 runtime sensors deployed

across multi-cloud in 2 weeks

Tangible reduction of false positives icon

Tangible reduction of false positives

for critical and high vulnerabilities

4-5 hours to receive  icon

4-5 hours to receive

contextualized threat advisories after public release

AI-Native Innovation Meets FinServ Rigor

Founded in 2021, Rogo builds AI-powered solutions for the world's leading financial institutions.

"We're building the next generation of intelligence for financial services," explained Patrick O’Boyle, Rogo's founding security engineer and Head of GRC. "Rogo is an applied AI organization, and we partner with the world's leading financial institutions in a white-glove manner."

As Rogo rapidly scaled from startup to 150+ employees, the company faced a unique challenge: balancing the speed of an AI-native organization with the security expectations of highly regulated financial institutions.

"Rogo is at a really interesting juxtaposition between customers being extremely highly regulated and conservative, while we're an applied AI high-growth organization," O’Boyle noted. "That conflict forces us to think about constraints and trade-offs constantly."

For Rogo, security couldn't be an afterthought. It needed to enable innovation while meeting the standards expected by tier-1 financial institutions.

Drowning in Alerts Without Context

When O’Boyle joined Rogo as one of its first dedicated security hire, the company already had security tools in place. The problem was that they generated large volumes of findings without the context needed to determine what actually mattered.

"Before Wiz, we were using products that were very noisy with no context," O’Boyle recalled.

As Rogo expanded rapidly across AWS and GCP, the volume of findings continued to grow. The security team needed a way to prioritize risk, reduce false positives, and maintain visibility across an increasingly complex cloud environment.

For a company serving major financial institutions, security wasn't simply an operational concern. Rogo needed confidence that it could identify and address real risks while maintaining customer trust.

Wiz has moved us from 'we have too many findings and don't know what to do with them' to 'we have findings, but now we have context.' That's incredibly valuable.

Patrick O’Boyle, Founding security engineer and Head of GRC, Rogo

Multi-Cloud Intelligence with Unprecedented Deployment Speed

Rogo evaluated security platforms with three key requirements: contextual awareness across infrastructure and code, rapid deployment that wouldn't slow down engineering, and comprehensive coverage across AWS and GCP. Wiz emerged as the clear choice.

"Wiz has contextual awareness of both infrastructure and code," O’Boyle explained. "This allowed us to reduce findings and reduce false positives, giving us higher confidence than the previous tools we used."

Rather than treating infrastructure and application security as separate domains, Wiz connects the dots, helping teams understand which findings matter and prioritize remediation accordingly.

Deployment delivered immediate value. Rogo deployed 95 runtime sensors across AWS and GCP in just two weeks, giving the security team broad visibility without disrupting existing workflows.

"Wiz's ease of deployment revolutionized the marketplace," O’Boyle noted. "Even with features like Wiz Code and the runtime sensor, deployment was surprisingly simple firm-wide in just a few weeks."

The fast rollout allowed Rogo to quickly move from limited visibility to a centralized view of risk across its rapidly growing cloud environment.

Red Agent: Continuous Exploitability Validation Through Automated AI-Penetration Testing

One of the most transformative capabilities Wiz brought to Rogo was the Red Agent for automated attack surface management and continuous AI-penetration testing. Prior to Wiz, Rogo lacked comprehensive coverage for infrastructure-related automated penetration testing, a critical gap for a company handling sensitive financial data.

"The Red Agent for attack surface management and automated penetration testing is incredibly valuable," O’Boyle emphasized. "We didn't have coverage over infrastructure-related automated pen testing prior to Wiz."

Rather than relying solely on periodic assessments, Rogo now benefits from continuous testing that leverages AI to identify logic-driven vulnerabilities and potential attack paths in real time.

For Rogo's FinServ clients, this continuous validation provides tangible evidence of robust security practices. When tier-1 financial institutions conduct security reviews, Rogo can demonstrate not just compliance with security frameworks, but active validation of its security posture through automated adversarial testing.

Green Agent: Attribution and Resolution at Development Speed

While the Red Agent identifies vulnerabilities, the Green Agent helps teams quickly understand ownership and drive remediation.

The Green Agent's ability to attribute responsibility is really helpful. It saves us from having to go to our SIEM and manually look up who changed something.

Patrick O’Boyle, Founding security engineer and Head of GRC, Rogo

When Wiz identifies a security finding, the Green Agent surfaces the relevant context, including ownership, recent changes, and relationships to other cloud resources. This visibility helps accelerate investigations and remediation.

The Green Agent also supports Rogo's collaborative approach to security.

"We're very embedded with engineering from the inception phase," O’Boyle noted. "That's a best practice, but it also allows us to add security value to products that other teams may not have thought of, because security is a differentiator for us."

By providing clear ownership and actionable context, the Green Agent helps engineering teams resolve issues more efficiently while keeping security aligned with development.

From Code to Cloud: Comprehensive Security Across the Development Lifecycle

Beyond the Red and Green Agents, Wiz provided Rogo with security coverage spanning code repositories and runtime environments. Wiz Code integrated directly into development workflows, helping developers identify and address issues earlier in the software lifecycle.

"Wiz Code provides better developer experience with contextual understanding," Pasquariello said. "Developers can see more context than before, understand the application, container, and where it lives."

The added context reduced false positives and increased confidence in security enforcement. "With Wiz Code, we're more confident blocking builds because there are fewer false positives," Pasquariello explained. "We moved from blocking only criticals to blocking high and criticals."

Combined with timely threat intelligence and highly accurate runtime detections, Wiz gave Rogo confidence that teams could focus on the issues that mattered most while continuing to move quickly.

As a result, security became easier to operationalize across engineering teams, helping Rogo strengthen its security posture without creating friction for developers.

Security as a Competitive Advantage

The transformation Wiz enabled at Rogo extended beyond operational efficiency, it changed how security functioned within the organization and how Rogo engaged with customers. 

"After getting Wiz and an MDR, I slept a little bit better," Pasquariello said. The move from overwhelming noise to actionable intelligence gave the team confidence that meaningful risks would be identified and addressed.

For Rogo's engineering teams, security shifted from a potential obstacle to enabler. "Getting buy-in from developers was pretty easy because everyone here is technical and security-oriented," O’Boyle noted. 

Most importantly, Wiz helped strengthen Rogo's position with prospective and existing customers. When financial institutions evaluate AI vendors, security plays a critical role. Rogo can now demonstrate continuous validation, rapid threat response, and visibility across its cloud environment.

As Rogo continues to scale, the team is focused on further automation.

"Our roadmap is about operationalizing tools and hooking them into agent workflows to automate detection and response, so we can know about zero days and triage them while we're sleeping," Pasquariello explained.

This vision aligns naturally with Rogo's identity as an AI-native company, with Wiz serving as the intelligence layer that helps power more automated security operations.

Wiz is the clear leader for cloud native organizations who need security and observability across their environment. For multi-cloud environments, you pretty much need Wiz to get a centralized view of risk across your entire estate.

Patrick O’Boyle, Founding security engineer and Head of GRC, Rogo

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