The Cyber Defense unit of a government agency faced challenges in gaining critical visibility into cyber threats while ensuring analyst safety. To address this, they deployed Argos Raw Intel, a solution that provides access to hyper-relevant and reliable intelligence from deep and dark sources without compromising security.
Key Achievements:
- Enhanced Visibility: Gained better protection for all external-facing governmental digital assets such as domains, websites, and applications.
- Rapid Risk Mitigation: Uncovered and mitigated the most relevant external risks in record time.
- Improved Training: Enhanced cybersecurity training for government employees through rich intelligence obtained covertly.
Case Study Highlights:
- Autonomous Discovery: Identified vulnerable assets like interfaces without 2FA and how-to guides for defacement of government assets sourced from the deep and dark web.
- Leaked Credentials: Discovered a list of leaked credentials with high fidelity, including complex passwords, sourced from malware logs and dark commerce sites.
- Real-Time Detection: Caught a code uploaded erroneously to a paste-bin site within 30 minutes of upload.
- Low False Positives: Experienced near-zero false positives, enabling real-time detection and swift remediation.
Partnership and Support:
- Cyberint Collaboration: The team worked closely with Cyberint analysts and the customer success team to set up effective data filtering and remove false-positives, especially during the pandemic.
- Continuous Improvement: Currently training the team and determining appropriate KPIs to measure the impact, recognizing Cyberint's top-layer value.
Core Conclusion:
Cyberint's Argos Edge™ and threat intelligence solutions provide organizations with extensive visibility into external risk exposure, enabling earlier detection, investigation, and remediation of cyber threats. The government's cyber defense unit achieved real-time focused protection for critical assets, leveraging high-fidelity intelligence with minimal false positives.
