Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

‍TL;DR ‍ Request a Free Demo Today.

A decade ago, the primary focus of TPRM was questionnaire management and distribution, usually done in a simple and manual way, relying on vendors to self-report on their security practices. Today the basic best practices of TPRM have grown to include continuous monitoring and other advanced AI-based capabilities like CVE alerting for third parties as elementary aspects of an effective program.

The biggest cybersecurity bottleneck for today’s enterprises isn’t detection. It’s remediation. Organizations are flooded with vulnerability data, but that flood rarely translates into effective action. Instead, security teams spend their time wrangling data, chasing tickets, and firefighting the same risks week after week. The outcome? Wasted effort, missed SLAs, and real business risk.

The explosion of generative artificial intelligence tools is sparking a wave of enthusiasm in workplaces, with employees eagerly embracing new applications to boost productivity and innovation. However, this adoption often leads to a new phenomenon known as shadow AI—the use of artificial intelligence tools within an organization without explicit approval or oversight from IT and security teams. Unsanctioned use of AI creates significant (and often invisible) security blind spots.

Similar to Ollama and llama.cpp, LlamaIndex provides an application layer for connecting your data to LLMs and interacting with it through a chat interface. While LlamaIndex is an open source project like other LLM application frameworks, LlamaIndex is also a company, with a recent Series A, a commercial offering, and a more polished aesthetic than their strictly DIY counterparts.

Third-Party Risk Management (TPRM) is a critical function for modern organizations, given the reliance on external vendors and partners. The interconnectedness of digital ecosystems means that a breach at a third party can have severe repercussions for your organization. In a recent Dark Reading survey, 30% of organizations experienced some or many supply chain attacks over the past 12 months, and only 14% of respondents reported themselves confident their supply chain is completely secure.

Ransomware attacks are undeniably on the rise—but just how significant is the increase? According to Bitsight CTI researchers, ransomware attacks (as measured by unique victims listed on leak sites) rose by almost 25% in 2024, and the number of ransomware group leak sites rose by 53%. Ransomware is becoming the go-to tactic for financially driven threat actors seeking quick and substantial payouts.

In today’s cybersecurity landscape, security teams face a daunting challenge: managing an ever-growing volume of risks with limited time and resources. Traditional manual risk resolution methods are no longer sufficient. They slow down response times, increase the risk of human error, and strain already stretched teams—ultimately compromising the organization’s security posture. That’s where automated risk resolution comes in.