Advanced Data Pilfering vs Pacu: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
Advanced Data Pilfering is a commercial penetration testing tool by Horizon3.ai. Pacu is a free penetration testing tool. Compare features, ratings, integrations, and community reviews side by side to find the best penetration testing fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Mid-market and enterprise security teams that need to validate whether their defenses actually stop data exfiltration should run Advanced Data Pilfering; most pentesting tools test access, not what attackers do once inside. Horizon3.ai's autonomous approach maps high-value assets and simulates realistic data theft across cloud, Kubernetes, and on-premises environments, delivering the threat-informed validation that compliance frameworks like PCI DSS and NIS 2 increasingly demand. Skip this if your team wants a single platform covering vulnerability scanning, SIEM, and incident response; Advanced Data Pilfering is purpose-built for exfiltration testing and doesn't replace your broader detection stack.
Red teamers and cloud security engineers who need to validate AWS IAM misconfigurations will find Pacu's modular attack chains faster to customize than commercial frameworks, since you can fork the codebase directly. The 4,883 GitHub stars reflect active community contribution and real-world validation against common cloud privilege escalation paths. Skip this if your team lacks AWS-specific offensive knowledge or needs a guided UI; Pacu rewards practitioners who can read Python and chain attacks manually.
