Robotic Process Automation in Cyber Security Operations: Optimizing Workflows with AI-Driven Automation

被引:0
|
作者
Dhabliya, Dharmesh [1 ]
Ghule, Gauri [2 ]
Khubalkar, Deepti [3 ]
Moje, Ravindra K. [4 ]
Kshirsagar, Pranali S. [5 ]
Bendale, Shailesh P. [6 ]
机构
[1] Vishwakarma Inst Informat Technol, Dept Informat Technol, Pune, Maharashtra, India
[2] VIIT Coll Engn, Dept Elect & Telecommun, Pune, Maharashtra, India
[3] Symbiosis Int Univ, Symbiosis Law Sch, Nagpur Campus, Pune, Maharashtra, India
[4] Pune Dist Educ Assoc Coll Engn Manjari, Dept Elect & Telecommun Engn, Pune, Maharashtra, India
[5] Vishwakarma Inst Informat Technol, Dept Comp Engn, Pune, Maharashtra, India
[6] NBN Sinhgad Sch Engn, Dept Comp Engn, Pune, Maharashtra, India
关键词
RPA; Robotic Process Automation; bots; business processes; automation; software robots; efficiency; data entry; rules-based processes;
D O I
10.52783/jes.653
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
It is very important for today's safety that a Domain-based Message Authentication, Reporting, and Conformance (DMARC) system is set up correctly. This outline sums up the main points of a thorough study that looked at many aspects of DMARC application. The goal was to find a good mix between strong email security and the smooth flow of official communications. The review looks at important factors like email delivery rates, spam protection, false positives, DMARC policy enforcement, alignment success, and issue reaction times. It does this through categorized tables. Collectively, these measures show how complicated DMARC execution is, stressing the need for a complete method. In addition to looking at how well the technology works technically, the study also looks at how well it works for people by looking at things like user education, knowledge, and the cost of implementation. All of these things work together in a complex way to make the system last and be successful overall. The strategic benefits of a well-run DMARC project are shown by the wider effects it has on brand image, return on investment, and customer trust. The results affect more than just safety; they also affect the company's reputation and ability to survive in a tough business world. In conclusion, the evaluation tables are useful tools that help businesses improve and tweak their email security plans. A good DMARC strategy not only protects against online dangers but also builds a culture of knowledge, trust, and organizational excellence. This sets the organization up for long-term success in a digital world that is always changing.
引用
收藏
页码:96 / 105
页数:10
相关论文
共 50 条
  • [1] AI-Driven Automation in a Human-Centered Cyber World
    Smith, Norris L.
    Teerawanit, Jirunya
    Hamid, Oussama H.
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 3255 - 3260
  • [2] Human Friendly Automation: A Literature Review on the Role of the Human Factor in AI-Driven Business Process Automation
    Baer, Manfred
    Plattfaut, Ralf
    [J]. BUSINESS PROCESS MANAGEMENT FORUM, BPM 2024, 2024, 526 : 287 - 301
  • [3] AI-driven Automation as a Pre-condition for Eudaimonia
    Siapka, Anastasia
    [J]. PROCEEDINGS OF THE 2023 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, AIES 2023, 2023, : 993 - 994
  • [4] AI-Driven Cyber Security Analytics and Privacy Protection
    Chen, Jiageng
    Su, Chunhua
    Yan, Zheng
    [J]. SECURITY AND COMMUNICATION NETWORKS, 2019, 2019
  • [5] Greening Automation: Policy Recommendations for Sustainable Development in AI-Driven Industries
    Doran, Nicoleta Mihaela
    Badareu, Gabriela
    Doran, Marius Dalian
    Enescu, Maria
    Staicu, Anamaria Liliana
    Niculescu, Mariana
    [J]. SUSTAINABILITY, 2024, 16 (12)
  • [6] Security Ontology OntoSecRPA for Robotic Process Automation Domain
    Kurylets, Anastasiya
    Goranin, Nikolaj
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (09):
  • [7] Automation Bias and Assistive AI Risk of Harm From AI-Driven Clinical Decision Support
    Khera, Rohan
    Simon, Melissa A.
    Ross, Joseph S.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2023, 330 (23): : 2255 - 2257
  • [8] AI in Process Automation
    Undey, Cenk
    [J]. SLAS TECHNOLOGY, 2021, 26 (01): : 1 - 2
  • [9] Robotic Process Automation
    Scheppler B.
    Weber C.
    [J]. Informatik-Spektrum, 2020, 43 (02): : 152 - 156
  • [10] Robotic Process Automation
    van der Aalst, Wil M. P.
    Bichler, Martin
    Heinzl, Armin
    [J]. BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2018, 60 (04): : 269 - 272