Offers organizations 24/7 dark web monitoring to plug supply chain leaks
- Spots and notifies leaked credentials in the dark web before attackers exploit them, preventing breaches
- Provides the first point of defense against supply chain risks and helps perform advanced analytics on the threat to determine the extent of the attacker’s steps
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Metro Manila — ManageEngine, a division of Zoho Corp. and a leading provider of enterprise IT management solutions, today announced the integration of its security information and event management (SIEM) solution, Log360, with Constella Intelligence, a digital risk protection platform, in a move that equips organizations with a critical first line of defense against supply chain attacks. The integration was announced at the RSA Conference in San Francisco on May 6-9, 2024.
Gartner projects that 45% of organizations worldwide will experience a supply chain attack by 2025. By enabling proactive monitoring of both the deep and dark web for leaked credentials with this integration, Log360 empowers businesses to take immediate action and prevent cyberattacks, thereby safeguarding critical data and minimizing operational disruptions.
Emphasizing the value of this integration, Kevin Senator, Chief Executive Officer (CEO) at Constella Intelligence, said, “Today’s interconnected business landscape demands proactive measures against the looming threat of supply chain attacks. With this integration, we are equipping organizations with a crucial first line of defense. By relentlessly hunting leaked credentials, we empower businesses to stay ahead of cyberthreats and safeguard their critical data and operations.”
According to Manikandan Thangaraj, vice president at ManageEngine, this integration acts as a force multiplier, empowering lean security teams in a climate of limited cybersecurity expertise.
“The cybercrime landscape is relentless, and skilled defenders are scarce. At ManageEngine, we have been deeply focused on strengthening the capabilities of our security suite of products, specifically Log360’s threat detection, investigation and response (TDIR) module, to address these market challenges. Our latest addition—the integration with Constella Intelligence—shortens threat detection time by proactively uncovering leaks on the dark web. This integration empowers security operations centers to act faster, even with limited resources, and neutralize threats before they strike,” said Thangaraj.
Integration benefits for organizations
- 24/7 dark web monitoring: This integration scans the deep and dark web continuously for leaked credentials associated with organizations, their employees and third-party vendors. This continuous monitoring ensures organizations are alerted about any potential vulnerabilities.
- Proactive mitigation and supply chain collaboration: With this information, organizations can proactively engage with affected vendors to implement mitigation measures, like password resets and enhanced security protocols. This collaborative approach strengthens the entire supply chain’s security posture and minimizes the attack surface.
- Unified security response: Log360 correlates suspicious activities within networks with leaked credentials, potentially exposing a larger supply chain attack attempt. This unified view allows for a faster and more effective response.
- Real-time alerts and threat intelligence: Upon detection of leaked credentials, organizations receive immediate alerts with details on the breach. Log360’s threat investigation console, the Incident Workbench, provides valuable insights into the source and scope of the leak, allowing organizations to understand its potential impact and whether it affects their supply chain partners.
- Predictions to preempt attacks: Organizations can gain a deeper understanding of attacker behavior and anticipate their next move. In the event of a compromised credential, organizations can leverage Log360’s Incident Workbench console, aided by contextual analytics, to conduct guided investigation to contain threats and minimize potential damage.
