Given today's digital landscape, the need for robust information security measures has never been more critical. Organizations face the daunting task of ensuring that access to sensitive data and resources is both secure and efficient. However, many struggle to implement comprehensive identity governance solutions due to cost constraints or resource limitations.
Enter Tuebora's groundbreaking solution: Access Review as a Service. Designed to democratize access governance, this innovative offering provides organizations of all sizes with the tools they need to automate access reviews, streamline processes, and enhance overall security posture.
In today's digital landscape, Identity Governance and Administration (IGA) is crucial for securing digital identities and managing access. For Managed Security Service Providers (MSSPs), integrating an effective IGA solution into their operations can be challenging. This blog delves into how Tuebora's dynamic IGA platform addresses these challenges and provides a robust solution tailored for MSSPs.
At Tuebora we design experiences that transform Identity Governance & Lifecycle. Since the company’s founding we have methodically paced an evolutionary process of User Experience with a focus on pragmatic client and potential client interaction. We don’t rely on platitudes like “put the user first” or “design a user-centric ecosystem”. We work with our audience to build collaborative and communication-generated IGA solutions.
Our first step is a mix of generative and evaluative research that relies on dialogue from many facets and comes full circle with an internal and external cross-functional, cross-company (very important and unique) drive toward each release.
At Tuebora, we’re on an Identity Governance & Administration AI journey that we think you’ll find intriguing and compelling.
As our data scientists finalize our newest IGA UI with Natural Language AI interaction, we've decided to open a beta version of our AI-driven creation to the public for feedback. This open approach allows us to gather input directly from users before the final release. That information will enable us to refine and perfect the machine learning algorithm already present and the new real-time interaction feedback for rapid and continuous AI evolution in the IGA space.
For those unfamiliar with our mission, we're focused on simplifying IGA program deployments and operations, particularly for those lacking large and/or highly specialized resources for multi-faceted access, management, and governance environments. We firmly believe that an intuitive, interactive interface is instrumental in relieving administrators from the burden of mundane tasks, thereby enabling them to focus on strategic initiatives.
Ask Tuebora natural language query engine streamlines tasks and boosts productivity
Fremont, CA – January 25, 2024: Tuebora, a leading provider of knowledgeable and interactive Identity Governance Administration (IGA) solutions, announced today the availability of Ask Tuebora, a natural language query engine designed to simplify complex workflows and automate repetitive Identity Access Management (IAM) tasks. Ask Tuebora is a generative AI tool that simulates human interaction and adapts its functionality to align with user thought processes, incorporating feedback and improving cognition with each query.
Ask Tuebora eliminates the need to learn specific system vendor terminology or multiple user interfaces. The platform is accessible across multiple devices and integrates with a wide variety of enterprise applications, reducing onboarding time and resources. By leveraging this intuitive tool, users can now simplify and automate a wide spectrum of IAM tasks such as:
For an IGA solution, among plethora of capabilities, the following are table stakes - event-driven/resource-owner/orphaned-account/manager-based reviews, multi-level approval access requests with sequential/parallel/quorum-based approvals, customized forms for various Request types, remediation of SOD control violations. While this ensures that we have an apparatus to manage basic governance processes, it retains the administrative burden. Organizations are spending lot of resources on same set of activities and vendors are building same set of capabilities as before. The continuous adornment around these features is decelerating innovation in this space. The focal point instead should be around pruning the expanse of governance activities while not compromising on security or compliance objectives. The call to lighten the load on the line of business has never been louder. The key questions that management and stakeholders must answer are as follows:
Seems like a strange question for a hardened and pragmatic cybersecurity practice, right? But it’s actually quite necessary to the ongoing and rapid evolution of Identity Access Management (IAM). We are at the forefront of an IAM revolution. IAM has always striven for better automation and the possibility of how machines could make more informed decisions due to the necessity, ubiquity, and potentially overwhelming nature of the IAM presence in an organization. This can quickly become a “whack-a-mole” exercise as humans manually review and make decisions that can have rippling effects within their infrastructure. Artificial Intelligence (AI), previously the stuff of science fiction, with a rote implementation that has yet to fulfill the prophecy of Isaac Asimov is now seeing arguably great strides with the fervor over facets like ChatGPT and its growing list of possibilities. But still, automation, machine learning, and even AI must be curated. Nowhere is this more true and intense than in cybersecurity. At some point and typically many points, a human must review, ensure, check, double check, talk to another human(s) to validate, and then perform the whole process over again at various points in the life cycle. We always try to lessen this need, but it never fully goes away. The real challenge though, is perception; the blurry ideals and expectations that inherently exist in human nature and understanding. And it’s not human fault, much like the shortcomings of AI are not its fault. Information output is only as good as information input. You don’t know what you don’t know. For humans, erroneous and/or incomplete information creates extraneous cognitive load, doubt, and ultimately anxiety. That’s a recipe for disaster in an IAM environment. So how do we solve it in the now and not wait upon the robot dreams of some future state?
As with many other business strategies and solutions, it’s useful to track metrics and get tangible performance measurements. Without metrics, decision-making is slower and you lack proper visibility into the security hazards associated with digital identities. Here are five useful IAM metrics to help monitor the implementation of an IAM system.
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