Digital risk management (DRM) expands protection beyond traditional network defenses to cover brand reputation, supply chains, cloud/SaaS assets, and third-party integrations using intelligence, automation, and continuous monitoring. Recorded Future combines threat, digital risk, and third-party intelligence to give enterprises unified visibility and automated response capabilities for faster detection and remediation. #RecordedFuture #BrandImpersonation
Keypoints
- DRM extends security beyond the perimeter to protect brand reputation, supply chains, and regulatory posture across an organization’s external digital ecosystem.
- A structured DRM framework—identify, assess, mitigate, continuously monitor—makes risk management measurable and intelligence-driven.
- Integrating threat intelligence and automation reduces detection time, lowers breach costs, and improves resilience across cloud, SaaS, and third-party environments.
- Visibility is critical: unknown assets like spoofed domains, leaked credentials, and unmonitored subdomains create high-risk exposure points.
- Best practices include governance and ownership, integrated intelligence, automated monitoring and response, employee training, and continuous measurement.
- Recorded Future’s platform unifies brand, identity, attack surface, third-party, and threat intelligence with SIEM/SOAR/GRC integrations for automated remediation.
- Proactive DRM shifts organizations from reactive incident response to early detection and prevention, improving business resilience and trust.
MITRE Techniques
- [T1589] Gather Victim Identity Information – Used to detect and monitor exposed credentials and personal data across open, deep, and dark web sources (“Monitors for exposed credentials and personal data across the open, deep, and dark web”).
- [T1566] Phishing – Identified as a common threat vector via phishing domains and fake profiles that enable credential theft and fraud (“Phishing domains, fake social accounts, and lookalike websites make it increasingly difficult for users to distinguish legitimate communication from deception”).
- [T1588] Obtain Capabilities – Brand impersonation and fake apps facilitate adversary capability to deceive users and distribute fraudulent applications (“Detects impersonation domains, fake social accounts, fraudulent apps, and other brand misuse in real time”).
- [T1299] Supply Chain Compromise – Third-party and supplier breaches that ripple across ecosystems are highlighted as a core risk DRM must monitor (“Tracks the security posture of suppliers and partners, surfacing breaches, leaked credentials, or newly discovered vulnerabilities that could ripple through the ecosystem”).
- [T1087] Account Discovery / Credential Access – Continuous monitoring and identity intelligence aim to prevent account takeover by discovering leaked credentials and compromised accounts early (“By detecting compromised accounts early, it helps prevent account takeovers and insider risk”).
- [T1609] Data from Information Repositories – Monitoring for leaked data and exposed assets across the web to identify data exposure risks (“Automated surveillance across open, deep, and dark web sources helps identify leaked data, malicious domains, and other warning signs of compromise”).
Indicators of Compromise
- [Domain ] Brand impersonation and phishing context – example: spoofed or lookalike domains used for phishing (no specific domains provided).
- [Credentials ] Exposed account context – example: leaked credentials and compromised accounts detected on open/dark web (no specific usernames/passwords provided).
- [Application ] Fraudulent app context – example: fake mobile app listings using company logos (no specific app package names provided).
- [Asset ] Internet-facing asset context – example: unmonitored subdomains and cloud/SaaS exposures (general mention; no specific hosts provided).
Read more: https://www.recordedfuture.com/blog/digital-risk-management-strategies