Fixpliance AI: Fixing Compliance at the Speed of AI
Vic Bhatia, Founder and CEO
Fixpliance AI, founded by ex-FAANG engineers, has emerged as a disruptive force in the compliance automation space, offering what the company describes as “compliance by engineers, for engineers.” The startup's private SaaS platform promises to transform the traditionally labor-intensive compliance remediation process, reducing, for example, the SOC 2 preparation time from the industry standard of four to five months to just 28 days while eliminating over 460 hours of annual engineering overhead.
“What used to take five months of audit preparation is now just 28 days for complete security compliance readiness,” says Vic Bhatia, founder and CEO.
From Space Missions To Silicon Valley Innovation
Bhatia's journey as the technical founder of Fixpliance AI spans some of the most prestigious institutions in the technology and aerospace sectors. Having held security and engineering leadership roles at NASA, Meta (formerly Facebook), Motorola, and Lockheed Martin, Bhatia brings a unique perspective shaped by the most demanding and highly scrutinized security environments in both government and private sectors.
“During my time as CISO at Motorola and later as Head of Security and GRC at Meta FinTech, I witnessed firsthand how compliance requirements are becoming more stringent and onerous by the day,” Bhatia explains. “Compliance, especially with the growth of AI, is becoming table stakes. While there are enough tools that can tell you everything that's broken, there's nothing that helps you fix it.”
Engineering-First Approach To Compliance Automation
Unlike traditional compliance tools that focus primarily on auditor workflows, the company specifically targets the engineering remediation gap that has long plagued organizations.
“The auditors who write these compliance frameworks aren't engineers,” Bhatia notes. “If you look at any of these frameworks, there are hundreds of pages of requirements, but as an engineer, I have no idea what any of that means because the specificity is missing. What is the minimum that I need to fix to become compliant, in what order, and how - none of that context exists.”
The Platform Addresses This Challenge Through Its Four-Module Ecosystem:
Scribe automates policy creation using natural language processing, reducing policy generation time from the industry standard of 8-10 days to under 8 minutes. The module transforms complex regulatory language into actionable technical requirements.
Audit Vault streamlines auditor workflows with automated evidence collection, centralized compliance framework management, and AI-driven reporting capabilities that generate executive and granular reports at the click of a button.
Vigilant provides continuous compliance monitoring with real-time controls testing, ensuring organizations maintain compliance posture beyond certification periods and preventing the accumulation of compliance debt.
Resolver leverages machine learning for contextualized remediation, offering prioritized queues of risks and automated remediation guidance. The system performs node-based analysis to identify interconnected vulnerabilities, enabling single fixes to resolve multiple compliance issues simultaneously.
Fixpliance AI's platform distinguishes itself through its API-first architecture and private SaaS deployment model.
“Avoiding vendor lock-in leads to broader organizational adoption. We’re designed to integrate with existing tools to provide a seamless user experience with no learning curve,” says Bhatia.
“Data sovereignty is a foundational design principle for us. Our private AI and machine learning capabilities ensure that all sensitive data stays within the organization,” he adds.
Unlike traditional compliance tools that focus primarily on auditor workflows, the company specifically targets the engineering remediation gap that has long plagued organizations.
“The auditors who write these compliance frameworks aren't engineers,” Bhatia notes. “If you look at any of these frameworks, there are hundreds of pages of requirements, but as an engineer, I have no idea what any of that means because the specificity is missing. What is the minimum that I need to fix to become compliant, in what order, and how - none of that context exists.”
The Platform Addresses This Challenge Through Its Four-Module Ecosystem:
Scribe automates policy creation using natural language processing, reducing policy generation time from the industry standard of 8-10 days to under 8 minutes. The module transforms complex regulatory language into actionable technical requirements.
What used to take five months of audit preparation is now just 28 days for complete security compliance readiness
Audit Vault streamlines auditor workflows with automated evidence collection, centralized compliance framework management, and AI-driven reporting capabilities that generate executive and granular reports at the click of a button.
Vigilant provides continuous compliance monitoring with real-time controls testing, ensuring organizations maintain compliance posture beyond certification periods and preventing the accumulation of compliance debt.
Resolver leverages machine learning for contextualized remediation, offering prioritized queues of risks and automated remediation guidance. The system performs node-based analysis to identify interconnected vulnerabilities, enabling single fixes to resolve multiple compliance issues simultaneously.
Fixpliance AI's platform distinguishes itself through its API-first architecture and private SaaS deployment model.
“Avoiding vendor lock-in leads to broader organizational adoption. We’re designed to integrate with existing tools to provide a seamless user experience with no learning curve,” says Bhatia.
“Data sovereignty is a foundational design principle for us. Our private AI and machine learning capabilities ensure that all sensitive data stays within the organization,” he adds.
“We’re dealing with the keys to the kingdom here.”
Transforming Compliance Timelines
The company's flagship offering, RapidSOC2.com, exemplifies its engineering-first approach. While SOC 2 compliance traditionally costs organizations between $30,000 and $80,000 and requires months of preparation, Fixpliance AI has streamlined the process significantly.
“What used to take four or five months of preparation is now 28 days,” Bhatia explains. “We've helped seed through Series A startups whose go-to-market motions are blocked and who need SOC 2 attestation like yesterday.”
The platform's real-time monitoring capabilities address one of the most persistent challenges in compliance management: maintaining standards post-certification. Traditional approaches only discover non-compliance issues during scheduled audits, often six months after violations occur. Fixpliance AI's system provides immediate notifications when non-compliant configurations are pushed to production, with the capability to automatically block such deployments when authorized.
“Let's say you, as a DevOps engineer, push out something non-compliant, like a non-compliant storage bucket,” Bhatia illustrates. “Alarms start going off in real-time. You get Slack notifications immediately. We detect it and generate the remediation plan, test plan, and rollback plan. You just need to review these and push the 'I accept' button, and the issue is fixed automatically.”
The Future Of Automated Compliance
In a crowded compliance automation market, Fixpliance AI differentiates itself through its engineering-centric approach. While competitors focus on auditor workflow optimization, the company specifically addresses the remediation gap that has historically required significant manual engineering effort.
As regulatory frameworks continue evolving and AI adoption accelerates across industries, the need for intelligent, engineering-first compliance solutions will only intensify. Fixpliance AI's approach of embedding compliance workflows directly into engineering processes represents a fundamental shift from reactive audit preparation to proactive compliance integration.
With its combination of technical depth, regulatory expertise, and cross-border market understanding, Fixpliance AI is positioned to capitalize on the rapidly expanding compliance automation market while addressing the specific needs of engineering teams navigating an increasingly complex global regulatory environment.
Transforming Compliance Timelines
The company's flagship offering, RapidSOC2.com, exemplifies its engineering-first approach. While SOC 2 compliance traditionally costs organizations between $30,000 and $80,000 and requires months of preparation, Fixpliance AI has streamlined the process significantly.
“What used to take four or five months of preparation is now 28 days,” Bhatia explains. “We've helped seed through Series A startups whose go-to-market motions are blocked and who need SOC 2 attestation like yesterday.”
The platform's real-time monitoring capabilities address one of the most persistent challenges in compliance management: maintaining standards post-certification. Traditional approaches only discover non-compliance issues during scheduled audits, often six months after violations occur. Fixpliance AI's system provides immediate notifications when non-compliant configurations are pushed to production, with the capability to automatically block such deployments when authorized.
“Let's say you, as a DevOps engineer, push out something non-compliant, like a non-compliant storage bucket,” Bhatia illustrates. “Alarms start going off in real-time. You get Slack notifications immediately. We detect it and generate the remediation plan, test plan, and rollback plan. You just need to review these and push the 'I accept' button, and the issue is fixed automatically.”
The Future Of Automated Compliance
In a crowded compliance automation market, Fixpliance AI differentiates itself through its engineering-centric approach. While competitors focus on auditor workflow optimization, the company specifically addresses the remediation gap that has historically required significant manual engineering effort.
As regulatory frameworks continue evolving and AI adoption accelerates across industries, the need for intelligent, engineering-first compliance solutions will only intensify. Fixpliance AI's approach of embedding compliance workflows directly into engineering processes represents a fundamental shift from reactive audit preparation to proactive compliance integration.
With its combination of technical depth, regulatory expertise, and cross-border market understanding, Fixpliance AI is positioned to capitalize on the rapidly expanding compliance automation market while addressing the specific needs of engineering teams navigating an increasingly complex global regulatory environment.
