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AI Case Study: AI for Automated Penetration Testing at Synack

AI Case Study AI for Automated Penetration Testing at Synack

AI Case Study: AI for Automated Penetration Testing at Synack

Synack, a cybersecurity leader, integrates Machine Learning and Attack Simulation with ethical hacking to provide AI-powered automated penetration testing.

By leveraging AI to continuously identify vulnerabilities, Synack enhances security defenses, leading to a 65% reduction in undetected vulnerabilities and a 50% improvement in security testing efficiency.

Read Top 15 Real-Life Use Cases For AI In the Cybersecurity Industry.

Background

Organizations face increasing cybersecurity threats due to:

  • Evolving attack techniques require continuous security assessments.
  • Manual penetration testing limitations are costly and time-consuming.
  • Regulatory compliance demands need frequent vulnerability assessments.

Traditional penetration testing methods struggle with:

  • Static testing cycles, leaving gaps between assessments.
  • Inability to scale, limiting coverage for large IT environments.
  • High costs make frequent testing impractical for many organizations.

To overcome these challenges, Synack’s AI-driven penetration testing solution:

  • Uses machine learning to identify vulnerabilities before attackers exploit them.
  • Automates attack simulations, mimicking real-world cyber threats.
  • Combines AI with ethical hacking for continuous and adaptive security testing.

How Synack Uses AI for Automated Penetration Testing

1. AI-Powered Vulnerability Discovery & Risk Prioritization

📌 How It Works:

  • AI scans IT environments to identify misconfigurations and security gaps.
  • Machine learning models assess risk levels based on real-world attack data.
  • AI prioritizes vulnerabilities, reducing alert fatigue for security teams.

🔹 Example: A global financial institution detected 30% more critical vulnerabilities after switching to Synack’s AI-driven security testing.

2. Continuous Attack Simulation & Red Teaming

📌 How It Works:

  • AI-driven penetration testing mimics real-world attack scenarios 24/7.
  • Ethical hackers validate AI findings, ensuring accurate threat assessments.
  • Machine learning refines attack simulations based on evolving security landscapes.

🔹 Example: A healthcare provider using Synack reduced its attack surface by 45%, preventing potential data breaches.

3. AI-Driven Compliance & Security Validation

📌 How It Works:

  • AI continuously monitors security controls for compliance with industry standards (ISO, NIST, SOC 2, etc.).
  • Automated reporting provides real-time insights into security posture.
  • AI recommends remediation strategies to close security gaps.

🔹 Example: A tech enterprise reduced its compliance audit preparation time by 50%, improving regulatory adherence.

Benefits of AI-Powered Penetration Testing at Synack

65% Reduction in Undetected Vulnerabilities – AI proactively discovers security gaps.
50% Increase in Security Testing Efficiency – AI automates penetration testing, reducing manual effort.
30% More Critical Vulnerabilities Identified – AI-driven assessments improve security visibility.
45% Reduction in Attack Surface – AI helps organizations minimize exposure to cyber threats.
50% Faster Compliance Audits – AI automates security reporting, easing regulatory processes.

Read an AI case study about Lacework.

The Impact of AI on Synack’s Security Testing Strategy

By integrating AI into penetration testing, Synack enables organizations to:

  • Detect vulnerabilities faster and more accurately, strengthening defenses.
  • Conduct continuous security testing, reducing risks between assessments.
  • Automate compliance reporting, ensuring regulatory adherence with minimal effort.
  • Enhance cybersecurity resilience, preventing breaches before they happen.

Conclusion

Synack’s AI-driven penetration testing platform transforms cybersecurity by combining Machine Learning and Attack Simulation with ethical hacking.

With a 65% reduction in undetected vulnerabilities, a 50% improvement in testing efficiency, and a 45% reduction in attack surfaces, AI is reshaping how businesses approach penetration testing. As cyber threats grow more complex, AI-powered security solutions like Synack will continue to play a crucial role in protecting organizations worldwide.

Author
  • Fredrik Filipsson has 20 years of experience in Oracle license management, including nine years working at Oracle and 11 years as a consultant, assisting major global clients with complex Oracle licensing issues. Before his work in Oracle licensing, he gained valuable expertise in IBM, SAP, and Salesforce licensing through his time at IBM. In addition, Fredrik has played a leading role in AI initiatives and is a successful entrepreneur, co-founding Redress Compliance and several other companies.

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