1. www.aristiun.com
Unleashing the Power of
Automated Threat Modelling with
Aribot
A Revolutionary Leap in Cybersecurity
WHITE PAPER

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The global cost of cybercrime is predicted to reach a staggering $10.5 trillion annually by
2025, underscoring the need for businesses to rethink their approach to cybersecurity. This
whitepaper delves into the evolution of threat modelling, exploring how Aristiun's
groundbreaking AI solution, Aribot, is a new threat modelling tool that brings much-
needed transformational change to this crucial aspect of cybersecurity strategy and signals
the future of AI cybersecurity solutions more broadly.
Understanding Threat Modelling and its Importance
But what is threat modelling? Threat modelling is a methodical process designed to
identify, assess, and address potential security threats in digital environments. Rooted
in a systematic approach, it considers four key steps:
Harnessing AI to Streamline Threat Modelling
and Enhance Cybersecurity Resilience
Identify Assets
Understand the various components of the system, including data and
services.
Create a Threat Profile
Identify the types of threats the system could face.
Address Threats
Develop strategies to mitigate the identified threats.
Validate and Test
Validate the strategy against the threats and perform regular testing.
Unlike risk assessment, which calculates the likelihood and impact of risks, threat
modelling proactively anticipates and mitigates threats. It reduces the attack surface
available, thereby making systems less vulnerable and enhancing the efficacy of
security resources.

3. The Limitations of Manual Threat Modelling
While a necessary component of traditional cybersecurity measures, manual threat
modelling comes with limitations that can hinder its effectiveness in the face of
contemporary security threats.
One of the primary issues is the laborious and time-consuming nature of the process.
It demands considerable effort and expertise, which can significantly drain resources.
The inherent complexity of today's digital systems, compounded by rapid
technological advancements, poses another substantial challenge. With the rise in
system intricacies, manual capabilities are increasingly tricky to provide a
comprehensive view of potential vulnerabilities. The subtleties within systems can be
overlooked, leaving potential blind spots in the security coverage.
The agile nature of modern DevSecOps environments, characterised by continuous
integration, delivery, and deployment, places additional pressure on manual threat
modelling. Manual techniques struggle to keep up with the speed of these release
cycles, potentially delaying identifying threats and implementing necessary mitigation
measures. This lag could result in a window of vulnerability that attackers could
exploit.
In essence, while manual threat modelling has been instrumental in the past, today's
digital landscape dynamics call for more sophisticated, automated solutions that can
rise to contemporary challenges.
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Introducing Aribot:
AI-Powered Threat Modelling
Aribot, Aristiun's innovative, patent-pending solution, marks
the future of threat modelling — revolutionising the process
by leveraging the power of AI. Aribot has been engineered to
tackle the challenges traditionally associated with threat
modelling, offering an efficient, accurate, and streamlined
approach.

4. Aribot's key features include:
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Automated Security Threat Identification: Aribot applies AI
algorithms to automatically identify potential threats, providing
comprehensive coverage and real-time insights.
Integration: Aribot easily integrates with existing DevSecOps
environments, making implementation seamless.
Traceable Security Requirements: Aribot generates traceable
security requirements, ensuring a systematic approach to
cybersecurity.
Deep Dive into These Features
Aribot scans systems and data using sophisticated AI algorithms, identifying potential
threats in real time. Unlike manual threat modelling, which can be time-consuming
and susceptible to human error, Aribot automates the process, providing fast and
precise threat identification. This level of automation affords comprehensive coverage
and continuous protection, significantly improving the occasional threat analysis
inherent to manual processes.
Another challenge with manual threat modelling is the integration within existing
workflows. With manual modelling, integrating the security insights into development
cycles often results in time-lapses, causing a delay in responses to identified threats.
Aribot, however, overcomes this limitation, integrating seamlessly with existing
DevSecOps environments. This smooth integration accelerates the process of
implementing threat mitigations, thus enhancing the overall security posture.
In traditional threat modelling, maintaining a systematic approach to cybersecurity

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can be a laborious task, often demanding manual tracking and administration. Aribot
resolves this by generating traceable security requirements. These requirements form
a roadmap for developers and security teams, allowing for clear visibility and ensuring
that all potential threats are accounted for and addressed.
Aribot takes threat modelling to the next level, addressing the limitations of
traditional approaches while offering enhanced accuracy, efficiency, and consistency.
With its powerful AI-driven capabilities, Aribot is not only improving threat modelling
but transforming cybersecurity strategy as a whole.
Onboarding Aribot and Client Case Studies
Aribot's straightforward onboarding process and easy integration with existing
systems make it an invaluable addition to any cybersecurity arsenal. It can onboard
directly from GitHub, Azure, Azure DevOps, and the Aribot App.
Its effectiveness is demonstrated through several client case studies, including
a Specialty Chemical Company and an Animal Nutrition Company.
The Specialty Chemical Company
successfully implemented the Security
Performance Lifecycle Management (SPLM)
product, experiencing a profound
transformation in its approach to
cybersecurity. The company cited real-time
insights, a holistic view of their security
posture, and the ability to identify threats
as significant benefits proactively.
Similarly, the Animal Nutrition Company hailed the SPLM product for revolutionising
its security strategy, delivering critical insights and proactive threat responses. Its
user-friendly, scalable, and adaptable features have helped the company adhere to
industry standards and regulatory requirements.

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At Aristiun, we are a leading cybersecurity solutions
provider committed to embedding security into developers' workflows.
Our solutions are designed to provide a robust defence against
evolving cyber threats.
About Aristiun
References
https://cybersecurityventures.com/hackerpocalypse-cybercrime-report-2016/
https://www.microsoft.com/en-us/securityengineering/sdl/threatmodeling
https://www.pivotpointsecurity.com/what-is-threat-modeling-and-how-does-it-
differ-from-risk-assessment/
https://www.csoonline.com/article/2120384/what-is-iam-identity-and-access-
management-explained.html
Conclusion
Aribot represents a milestone in
automated threat modelling, offering real-
time, comprehensive insights into
potential security threats. Aristiun is
leading the way in cybersecurity solutions
by integrating AI into threat modelling
tools. Learn more about Aribot and its
transformative potential.