Building Trust Into Agentic SOC Tools with Oren Saban

Building Trust Into Agentic SOC Tools with Oren Saban

🎙 SANS Institute 👥 70K 📅 July 2, 2026 ⏱ 43 min 👁 464 📄 expert opinion 🧭 2026-08-15
Available in: English (current) Français

Keywords

agentic SOCAI trustSOC analyst skillsprompt injectionagent governance

Summary

In this podcast episode, John Hubbard interviews Oren Saban, Chief Product Officer at Mate Security, about the challenges and opportunities of building trustworthy agentic SOC tools. They discuss the shift from traditional SOAR to AI-driven agentic platforms that can triage, investigate, and respond to alerts. Key topics include the importance of organizational context and data quality, the architecture of specialized agents over a single generalist model, and the difficulty of calibrating AI confidence. They explore how these tools change the role of SOC analysts, emphasizing critical thinking, the ability to verify AI outputs, and the need to understand underlying technologies. The conversation also covers the emerging threat of prompt injection attacks and the evolution of SOC structures towards tierless models. Oren shares insights from his experience at Microsoft and his current work, providing practical advice for teams evaluating or implementing these platforms. The episode concludes with a discussion on how education and training must adapt to prepare analysts for a future where AI handles much of the investigation work.

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Critical Evaluation

Value of the Information & Strength of the Argument

The value of the information is high, as it provides practical insights from an industry expert with direct experience in building and deploying agentic SOC tools. Oren Saban’s background at Microsoft and his current role at Mate Security lend credibility to his perspectives. The argumentation is solid, with clear reasoning for why agentic platforms are structured as swarms of specialized agents, the importance of context and data quality, and the challenges of calibrating AI confidence. He offers concrete examples, such as the difficulty of handling unstructured data and the need for governance mechanisms. The discussion is balanced, acknowledging both the potential and the limitations of current AI capabilities. However, the arguments are largely anecdotal and lack empirical evidence or citations, which slightly weakens the overall rigor.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is moderate; the conversation is based on expert opinion and industry experience rather than peer-reviewed research. The sources cited are primarily the podcast’s own links and the guest’s LinkedIn profile, which are not academic references. The title accurately reflects the content, focusing on building trust in agentic SOC tools. The discussion is coherent and well-structured, but it does not provide formal citations or data to support claims. The adequacy between title and content is strong, as the entire episode revolves around trust and practical implementation. No comments were provided, so no analysis of public reception is possible.

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Title / Content Match

The title accurately reflects the core theme of building trust in agentic SOC tools, which is the central topic of the conversation.

Quality & Reliability

8/10

The conversation features an experienced practitioner (Oren Saban, CPO of Mate Security, ex-Microsoft) discussing practical aspects of agentic SOC tools. The discussion is grounded in real-world experience and industry trends, but lacks formal citations or empirical data. The claims are plausible and align with current industry knowledge, but are not rigorously verified.

Key Moments

Cited Sources

Concurring Sources

  • SANS Institute — The host's organization, providing training and research in cybersecurity.

Contribution & Novelties

This episode provides a practitioner’s perspective on the practical challenges of implementing agentic SOC tools, particularly around trust and confidence calibration. It offers actionable insights for SOC teams evaluating these platforms, such as the importance of data quality and the need for governance mechanisms. The discussion on evolving analyst skills is timely and relevant.

Pour aller plus loin :

90 words

Radar Profile

The radar profile shows high scores in information quantity and quality, reflecting the depth of the discussion. The technical level is also high, indicating a specialized audience. The reliability score is slightly lower due to the lack of formal citations, but overall the profile suggests a valuable resource for professionals in the field.

Reliability 7/10