From Risk to Reward: Strengthening Canada’s Digital Trust with Threat Intelligence

From Risk to Reward: Strengthening Canada’s Digital Trust with Threat Intelligence

by Jennifer Sloan

Humanities, Social Sciences & Thought Computing & Cybersecurity UComputing and Information TechnologyURComputer security
🎙 Jennifer Sloan 👥 1K 📅 September 26, 2025 ⏱ 14 min 👁 64 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

threat intelligencedigital trustsocial engineeringAI fraudcollaboration

Summary

In this keynote at the PST 2025 conference, Jennifer Sloan, SVP at Mastercard Canada, discusses the evolving cyber threat landscape and the importance of digital trust. She highlights that social engineering is now the dominant attack vector, with threat actors using AI to create sophisticated phishing, deepfake voice fraud, and SEO poisoning. Sloan emphasizes the need for integrated real-time threat intelligence, citing Mastercard’s partnership with Recorded Future and the development of tools like Decision Intelligence Pro. She also showcases Canadian innovation, such as the Cyber Attribution Data Center at UNB, and stresses the importance of public-private collaboration. The talk concludes with a call to action for Canada to lead in building a resilient digital economy through trust and innovation.

119 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides valuable insights into current cyber threats, such as the rise of AI-powered social engineering and the limitations of MFA. Sloan’s argumentation is compelling, using real-world examples and statistics to illustrate the severity of the threats. She effectively argues for the necessity of integrated threat intelligence and collaboration, drawing on Mastercard’s global perspective and concrete initiatives. The presentation is persuasive, though it could benefit from more detailed evidence or case studies to strengthen the argument.

Scientific Rigor, Source Quality, Title Accuracy

The talk is based on the speaker’s professional experience and industry knowledge, but lacks explicit citations to external sources. The title accurately reflects the content, focusing on strengthening digital trust through threat intelligence. The presentation is well-structured and aligns with the conference theme, but the lack of verifiable references reduces its scientific rigor. No comments were provided for analysis.

151 words

Title / Content Match

The title accurately reflects the content, focusing on transforming cyber risk into digital trust through threat intelligence and collaboration.

Quality & Reliability

7/10

The talk is an expert opinion from a senior industry leader, providing practical insights and real-world examples, but lacks detailed citations or verifiable data sources.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Concurring Sources

  • FS-ISAC — Model for information sharing in the financial sector, mentioned as a collaboration example.
  • Recorded Future — Threat intelligence platform integrated by Mastercard, cited in the talk.

External References

Contribution & Novelties

The talk provides a current industry perspective on cyber threats, emphasizing the shift to human-centric attacks and the need for integrated intelligence. It highlights specific tools and collaborations, such as Mastercard’s Decision Intelligence Pro and the Cyber Attribution Data Center, offering practical examples of innovation.

Pour aller plus loin :

  • FS-ISAC — Financial Services Information Sharing and Analysis Center, a model for public-private collaboration.
  • Recorded Future — Threat intelligence platform mentioned in the talk.
  • Deepfake voice fraud — Wikipedia article on deepfakes, relevant to the discussed threat.

87 words

Radar Profile

The radar profile shows a balanced performance across all dimensions, with slightly higher scores in information quality and reliability, reflecting the speaker's expertise and practical insights, while the technical depth is moderate, suitable for a general audience.

Reliability 7/10