This risk assessment form documents activities, hazards, and control measures for an unspecified project. It collects information on the project title, location, dates, team roles and responsibilities. Hazards are identified for each activity, and control measures are described to mitigate risks. The overall risk level is assessed after controls are applied. The form requires sign off by an assessor and authorizer.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
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End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
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As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
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This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
1. Risk Assessment Form – Part A
Reference:
[enter reference number]]
Sign-off status
Blank Template
[planning/approved etc]
Assessment summary details
Assessment title *
(Simple name for reference
purposes)
Division:*
Department:*
Series/ Prod/Unit:
Programme/Area:
Responsible
Manager:
Contact office:
Address/Tel:
Address/Tel:
Date assessment created
Confidential risk
assessment?
YES/NO (delete as applicable)
Assessment Outline
(Summary of what is
proposed)
Assessment start
date
Review / End date
Country location
Hostile / travel
advisory?
Location details
NB: If the country location selected is ‘Hostile’ you are
required to: complete the BBC Overseas High Risk
Assessment Form
Crew / team
(Roles, responsibilities,
competencies)
Attachments
(Detail supporting
documents)
Assessor(s)
*
Assessor safety
competence
(Person drafting risk
assessment)
Date signed-off *
Authoriser(s) *
(Person responsible for
sign-off)
Distribution
(Who gets a copy of the
assessment)
Data Protection Act: Personal information collected for the purposes of risk assessment will be used to identify those at risk, and
those involved in controlling risk, from this or similar activities and to fulfil the BBC's obligations under Health and Safety policy and
legislation. It will be retained for up to 6 years after the expiry of the activity. It may be shared with other organisations, including
our agents and contractors, with whom the risk or the control of risk is shared.
Activity and Hazard Summary
Activity
[This is a summary of the activities listed in part B of the risk assessment.]
Who Exposed
Hazards{hazard titles
Activity Risk Rating
Comments log
Who by
Date / time
received
[* mandatory fields]
Comments
Assessor response
Date/ time
responded
2. Risk Assessment Form – Part B
Reference:
6
Sign-off status
[enter reference number]]
ACTIVITIES:
What are you doing, where, for how long and who will be
involved? Complete the fields in the form below).
Activity Title:*
Blank Template
[planning/approved etc]
HAZARDS & CONTROLS:
How could someone become hurt or made ill and
how are you going to prevent this from happening?
[activity 1 title]
Activity Description:
List those managing
this Activity and their
competence:
Who & how many are
at risk from this
Activity?
Hazards
How could someone become hurt or made ill
Control measures
How are you going to prevent this from happening?
[Hazard 1 title and description]
[Details of control measures]
[Hazard 2 title and description]
[Details of control measures]
[add additional rows as required]
Risk Level*: After your controls have been applied what is your assessment of the risk level of
this activity?
Add additional activities as required – by copying this section and pasting below
[* mandatory fields]
High/Medium/Low
(delete as applicable)
3. Risk Assessment Form – Part B
Reference:
6
Sign-off status
[enter reference number]]
ACTIVITIES:
What are you doing, where, for how long and who will be
involved? Complete the fields in the form below).
Activity Title:*
Blank Template
[planning/approved etc]
HAZARDS & CONTROLS:
How could someone become hurt or made ill and
how are you going to prevent this from happening?
[activity 2 title]
Activity Description:
List those managing
this Activity and their
competence:
Who & how many are
at risk from this
Activity?
Hazards
How could someone become hurt or made ill
Control measures
How are you going to prevent this from happening?
[Hazard 1 title and description]
[Details of control measures]
[Hazard 2 title and description]
[Details of control measures]
[add additional rows as required]
Risk Level*: After your controls have been applied what is your assessment of the risk level of
this activity?
Add additional activities as required – by copying this section and pasting below
[* mandatory fields]
High/Medium/Low
(delete as applicable)