How to Spot and Stop Security Risks From Unmanaged AI Tools

#1684084: How to Spot and Stop Security Risks From Unmanaged AI Tools

Description:	AI tools are rapidly infiltrating software development and many are being adopted without formal approval or security oversight. Developers, engineers, and data scientists are integrating various AI components such as Models, Agents, MCP servers, and more into workflows at unprecedented speed - often without informing AppSec or compliance teams. This decentralized adoption is efficient and can drive innovation, but it opens the door to hidden risks, blind spots, and a growing security debt, creating ideal conditions for breaches, data exposure, and compliance failures that could go undetected until it’s too late. In this session, Mend.io EVP Product Management Nir Stern examines the security implications of Shadow AI and offers practical guidance for spotting and stopping the risks introduced by unapproved tools. From identifying visibility gaps and reducing governance friction to actionable mitigation strategies, you’ll walk away with a sharper understanding of how to protect your development lifecycle from AI-driven threats. Key Takeaways: 1. Understand the Hidden Risks of Shadow AI: Learn how the decentralized use of AI tools in development pipelines introduces new attack surfaces, compliance blind spots, and untraceable data flows that traditional AppSec approaches may miss. 2. Gain Practical Guidance for Detection and Prevention Discover actionable methods to uncover unmanaged AI usage, assess its impact on your security posture, and implement controls to minimize exposure without slowing down innovation. 3. Bridge the Gap Between Innovation and Governance Explore strategies to foster collaboration between development and security teams, reduce friction, and build a scalable governance framework for AI adoption that supports speed and safety.
More info:	https://webinars.techstronglearning.com/how-to-spot-and-stop-security-risks-from-unmanaged-ai-tools?utm_campaign=FO-05-30-2025

Description:

AI tools are rapidly infiltrating software development and many are being adopted without formal approval or security oversight. Developers, engineers, and data scientists are integrating various AI components such as Models, Agents, MCP servers, and more into workflows at unprecedented speed - often without informing AppSec or compliance teams.

This decentralized adoption is efficient and can drive innovation, but it opens the door to hidden risks, blind spots, and a growing security debt, creating ideal conditions for breaches, data exposure, and compliance failures that could go undetected until it’s too late.

In this session, Mend.io EVP Product Management Nir Stern examines the security implications of Shadow AI and offers practical guidance for spotting and stopping the risks introduced by unapproved tools.

From identifying visibility gaps and reducing governance friction to actionable mitigation strategies, you’ll walk away with a sharper understanding of how to protect your development lifecycle from AI-driven threats.

Key Takeaways:
1. Understand the Hidden Risks of Shadow AI:
Learn how the decentralized use of AI tools in development pipelines introduces new attack surfaces, compliance blind spots, and untraceable data flows that traditional AppSec approaches may miss.

2. Gain Practical Guidance for Detection and Prevention
Discover actionable methods to uncover unmanaged AI usage, assess its impact on your security posture, and implement controls to minimize exposure without slowing down innovation.

3. Bridge the Gap Between Innovation and Governance
Explore strategies to foster collaboration between development and security teams, reduce friction, and build a scalable governance framework for AI adoption that supports speed and safety.

More info:

https://webinars.techstronglearning.com/how-to-spot-and-stop-security-risks-from-unmanaged-ai-tools?utm_campaign=FO-05-30-2025

Date added	May 30, 2025, 10:18 p.m.
Source	techstronglearning
Subjects	AI/ML - Artificial Intelligence / Machine Learning / GenAI / Artificial General Intelligence - AGI - Various Compliance regulations / Ethics - Various PodCasts / Webcast / Webinar / eSummit / Virtual Event etc.
Venue	July 16, 2025, midnight - July 16, 2025, midnight