The modern cybersecurity landscape is undergoing a seismic shift, driven by an exponential rise in third-party dependencies. From SaaS platforms to open-source software, organizations are increasingly relying on external vendors, suppliers, and partners. While this interconnected ecosystem fuels innovation and efficiency, it also dramatically expands the attack surface, leaving organizations vulnerable to sophisticated and fast-evolving threats.
According to a recent SecurityScorecard report, 29% of all breaches originate from third-party vulnerabilities, highlighting the urgent need for robust third-party risk management (TPRM). Yet, traditional tools have fallen short in offering consistent and comprehensive oversight. Reliant on static evaluations, audits, and manual processes, these legacy approaches provide little more than a retrospective snapshot of risks, leaving organizations blind to real-time threats. Here’s where AI-powered solutions, like Dataminr Pulse for Cyber Risk, are redefining defense strategies.
The Growing Complexity of Third-Party Risks
According to Gartner, more than 60% of organizations now depend on third parties for core functions, but they often lack direct visibility into their suppliers’ cybersecurity postures. Additionally, the rapid adoption of cloud storage, open APIs, and interconnected software adds layers of complexity to an already sprawling attack surface. Threat actors frequently exploit these third-party vulnerabilities, using them as a gateway to infiltrate larger networks.
The challenge is exacerbated by resource constraints. With a global shortage of more than 4 million cyber professionals, security teams are overwhelmed. Without the ability to continuously monitor third-party risks, organizations are forced into a reactive stance, addressing issues only after damage has already been done. This is where preemptive defense is not a nice-to-have but an operational necessity.
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How AI Transforms Third-Party Risk Management
AI-powered real-time threat detection tools, like Dataminr Pulse for Cyber Risk, deliver actionable intelligence that enables businesses to overcome the limitations of traditional approaches. By leveraging advanced AI technologies, Dataminr helps organizations gain the visibility and speed they need to preempt emerging threats, even beyond their enterprise perimeter.
- Harnessing public data for insights
Dataminr processes information from more than one million publicly available sources, spanning everything from social media and blogs to sensor data and the deep and dark web. By applying domain-specific AI models trained over a decade, Dataminr can extract patterns and anomalies that signal risks otherwise buried in a sea of noise. - Unparalleled breadth and speed
Unlike legacy solutions, Dataminr delivers real-time alerts that provide critical lead time for cybersecurity teams to mitigate risks. With data coverage across more than 150 languages and 220 countries, organizations can detect vulnerabilities or leaked credentials as they emerge, enabling immediate action before threats materialize into full-scale incidents. - Relevance through contextual intelligence
By leveraging its AI platform, Dataminr Pulse for Cyber Risk delivers real-time, concise, and actionable alerts to businesses. These alerts dynamically update as situations unfold, equipping cybersecurity teams with a clear understanding of risks. This capability minimizes the effort needed to sift through irrelevant data, allowing cybersecurity teams to prioritize critical threats.
By offering capabilities that directly address the critical gaps in third-party risk management, Dataminr ensures organizations always stay one step ahead of adversaries—from detecting zero-day vulnerabilities to mitigating deep and dark web threats.
With integrations into existing cybersecurity infrastructures like SIEM, SOAR, and TIP solutions, Dataminr Pulse for Cyber Risk can be seamlessly combined into organizations’ operational workflows, maximizing efficiency while minimizing response times.
The Power of Preemptive Defense
The benefits of adopting a preemptive strategy cannot be overstated. Real-time intelligence empowers cybersecurity teams to proactively manage risks, while broader visibility across third-party ecosystems ensures early detection of vulnerabilities. Most importantly, a preemptive strategy enables faster and more effective responses to threats, reducing disruption and potential costs.
For example, Global Payments, a Fortune 500 company in the payment technology sector, relies on Dataminr to continuously monitor its global supply chain. By identifying leaked credentials and vulnerabilities early, the organization can notify its suppliers of risks before the suppliers are even aware of them. This proactive approach not only fortifies the company’s cybersecurity posture but also builds stronger trust and accountability across its ecosystem.
The stakes for managing third-party risks have never been higher. With the cost of data breaches averaging $4.88M globally, investing in proactive cybersecurity measures is critical. Dataminr equips organizations with the tools to act decisively and effectively, safeguarding against the escalating risks of an interconnected world.
Preempt Third-party Risk with Actionable Intelligence from AI and Public Data
To gain deeper insights into how AI-driven solutions can revolutionize your third-party risk management strategy, download the full ebook now.
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