Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Organizations are facing an increasing array of security challenges these days that can disrupt operations, lead to significant financial losses, and damage reputations. Traditional reactive security measures are no longer sufficient. Instead, a strategic focus on proactive security is essential. Predictive risk assessment stands at the forefront of modern security approaches, offering a comprehensive framework for identifying vulnerabilities before they are exploited.

When it comes to cybersecurity, organizations face an ever-present and often underestimated threat: human risk. Despite significant advancements in technological defenses, human error remains a leading cause of data breaches and security incidents. Industry studies consistently show that between 70% and 90% of data breaches involve some form of human-related cause—whether through social engineering, errors, or misuse.

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.

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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.