Questions, answered.

Zerberus.ai is an AI-powered compliance and security automation platform. We help organizations automate their compliance workflows, manage security risks, and maintain continuous compliance with frameworks like SOC 2, ISO 27001, GDPR, and more.

Our platform uses AI to continuously monitor your systems, automatically collect evidence, map controls to compliance frameworks, and identify gaps. This reduces the manual effort traditionally required for compliance, allowing your team to focus on remediation rather than documentation.

Zerberus.ai supports a wide range of compliance frameworks including SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, and others. Our platform is designed to be flexible and can be configured to support custom frameworks as well.

Yes. Compl-AI maps controls and evidence to the EU AI Act's risk-management and governance requirements and to NIS2's incident-reporting and security obligations, alongside SOC 2, ISO 27001, ISO 42001, NIST CSF, and NIST AI RMF - so you don't need a separate tool for AI-specific and cyber-resilience regulation.

Real-time control monitoring is the live view of which controls are passing, failing, or need action across your stack. One-Click Remediation™ is our patent-anchored capability that goes a step further: instead of just flagging a failing control, Compl-AI can generate and apply the fix directly, so gaps get closed rather than just logged.

Yes. VANGUARD is an AI governance platform purpose-built for managing agentic AI risk and policy enforcement - it inspects prompts and tool calls, mediates what AI agents are allowed to do, and enforces policy at runtime, with a full audit trail. Combined with Compl-AI's framework-mapped controls, Zerberus covers AI governance from runtime enforcement through to audit evidence.

Vanta, Secureframe, and Sprinto are strong at collecting evidence and mapping controls to frameworks like SOC 2, ISO 27001, and most AI governance frameworks. Compl-AI matches that coverage and adds two things they don't: native SBOM and software supply-chain risk scoring via Trace-AI, and One-Click Remediation™, which fixes failing controls automatically instead of handing you instructions to apply yourself. See detailed, capability-by-capability comparisons on the Compl-AI page.

Automated Remediation is our patent-pending technology that not only identifies compliance and security gaps but also automatically fixes them. Instead of just flagging issues, Zerberus.ai can take action to resolve them, significantly reducing your time to compliance.

We take data security extremely seriously. All data is encrypted both in transit and at rest. We follow industry best practices for security, undergo regular security audits, and maintain compliance with the very frameworks we help our customers achieve.

Yes, Zerberus.ai is designed to integrate seamlessly with your existing technology stack. We offer integrations with popular cloud providers, identity management systems, ticketing tools, and more. Our API also allows for custom integrations.

Most customers can get up and running within days, not weeks or months. Our onboarding process is streamlined, and our team provides support throughout the implementation to ensure a smooth setup.

We offer comprehensive support including documentation, onboarding assistance, and ongoing customer success management. Our team is committed to helping you achieve and maintain compliance with minimal friction.

Absolutely. Zerberus.ai is designed to scale with your business. Whether you're a startup looking to achieve your first SOC 2 or an enterprise managing multiple frameworks, our platform adapts to your needs.

Unlike traditional compliance tools that focus solely on documentation and monitoring, Zerberus.ai goes a step further with Automated Remediation. We don't just tell you what's wrong, we help you fix it. Our AI-driven approach means faster time to compliance and reduced manual workload.

A Software Bill of Materials (SBOM) is a complete inventory of all components in your software. It's essential for understanding your security posture, managing vulnerabilities, and meeting compliance requirements. With increasing regulatory pressure and supply-chain attacks, having an accurate, up-to-date SBOM is critical.

Traditional scanners report all CVEs, creating noise and alert fatigue. Exploit-aware scanning prioritizes vulnerabilities that have known exploits in the wild, helping you focus on real risks first. We integrate multiple threat intelligence sources to determine exploitability.

Trace-AI supports all major ecosystems including npm/yarn (JavaScript), pip (Python), Maven/Gradle (Java), Go modules, RubyGems, NuGet (.NET), Cargo (Rust), and more. We continuously add support for new package managers and languages.

Yes. We only analyze dependency manifests and lock files - never your source code. All data is encrypted in transit and at rest. We only access your dependencies file and our workflow is metadata driven. You can also run ZSBOM locally for complete control.

ZSBOM is fully open-source and transparent. Unlike black-box commercial tools, you can audit our classification logic, customize risk scoring, and contribute improvements. We focus on accuracy, exploit-awareness, and developer experience.

We map SBOM data to ISO 27001, SOC 2, PCI-DSS, HIPAA, and GDPR requirements. Our policy-as-code library includes pre-built compliance checks that you can fork and customize for your specific needs.