Future-Proofing Your KM Initiatives

OneTrust’s solution centralizes evaluation metrics and enforces guardrails. It continuously monitors outputs against trusted knowledgebases and enterprise policy thresholds. When confidence levels fall below acceptable standards, OneTrust triggers an alert so that the situation can be assessed and mitigated, with the goal of preventing ungrounded information from reaching the end user. The alert is also documented to provide an audit trail of the incident. “The holy grail is for knowledge-based systems to be proactive rather than reactive, so that problems never reach the user,” concluded Iyer. 

Keeping Your Knowledge Secure

Information security has been an issue since the advent of computers and has become more so in a connected world. Ransomware has been in existence for decades, but organizations remain vulnerable to the various forms of viruses, which often target hospitals. These intrusions have real consequences. For example, mortality rates for patients already in hospitals when an attack occurs increase between 34% and 38% according to a study published in the February 2026 issue of American Economic Journal (aeaweb.org/articles?id=10.1257/pol.20240594). But the potential impact of AI agents to autonomously detect and exploit vulnerabilities goes far beyond what we have seen so far from other intrusions.

Software Mind is a software engineering company that focuses on enterprise modernization and AI-accelerated applications. The company recognizes that security architecture encompasses seven different aspects, ranging from network security to identity management and data security. “Sometimes companies start off with these in mind at the beginning of their AI journey,” said Piotr Konopka, AI solutions director at Software Mind, “but over time, the focus shifts away. Therefore, the best approach is to automate as much security as possible.”

Employing zero-trust principles that assume your system can be breached, giving AI agents time-limited credentials, and having an external governance layer are among the methods to reduce the chances of an intrusion. Real-time monitoring is an essential part of security maintenance, given the ability of self-executing AI agents to overcome protective measures.

Search on Steroids

Search lies at the heart of most KM initiatives, so it makes sense that to ensure future-proofing, search needs to stay ahead of the curve. This means leveraging all the potential of search in as many ways as possible.

Begun as a federated search engine to access diverse repositories, SearchUnify’s platform has evolved to encompass a broader range of functions. “The platform is a unified intelligence layer that learns from user behavior, content performance, and support interaction signals across all the information that is connected to it,” said Tanya Dhar, product manager at SearchUnify. The shared intelligence layer is important for future-proofing because a system built as separate tools has to be reintegrated every time AI capability advances, while a shared layer absorbs them once and passes them on to all the products on top of it.

This capability plays out most visibly in customer support. “Customer support was our first use case and remains one of our strongest,” said Divanshi Arora, senior manager, customer marketing and strategic alliances, at SearchUnify. Agent Helper brings answers to live agents in real time, while Virtual Assistant provides autonomous support for self-service applications. Both depend on the same underlying search accuracy.