Advertisement
Securing Enterprise AI: Managing Risks & Incident Readiness
Organizations face expanding attack surfaces and new risks from rapid AI adoption, including shadow AI and AI agents with excessive permissions.
Shadow AI: Managing Emerging Cybersecurity Risks in the Enterprise
Organizations face new data governance and compliance challenges from unsanctioned AI tool use, demanding proactive identification and management.
Securing Autonomous AI Agents: Discovery and Governance Strategies
Learn how to detect and secure shadow AI agents within enterprise environments to prevent data leakage and unmanaged autonomous permission risks.
Securing Generative AI Adoption: Enterprise Governance Frameworks
Enterprise AI adoption has reached 76 percent. Learn how security leaders manage shadow AI risks and implement governance to ensure data privacy and security.
AI Code Generation Security Risks: Managing Vibe Coding Governance
Learn how to manage AI code generation security risks and implement governance for vibe coding practices in the software development lifecycle.
2026 Verizon DBIR Analysis: Securing the Browser Against Phishing
The 2026 Verizon DBIR identifies browser-layer security gaps as a primary threat vector, highlighting risks from phishing, shadow AI, and malicious extensions.
Advertisement
Shadow AI Risks: Securing Production against Exposed Vibe-Coded Apps
Analysis of the 'Shadow Builders' report identifying 2,000 exposed AI-generated apps and the critical security gaps in AI-assisted software development.
Enterprise AI Risk Concentrated Among Power Users in 2026 Report
LayerX Security’s 2026 report reveals that enterprise AI risk is concentrated among power users, highlighting a significant visibility gap for security teams.
Managing Shadow AI Tools: A Framework for Secure Enterprise Integration
Unvetted AI tools pose significant data privacy and security risks. Learn how to discover and manage shadow AI usage without impacting employee productivity.
Mitigating Shadow AI: Framework for Detecting Unauthorized AI Tools
Comprehensive guide for security professionals on identifying, assessing, and governing unsanctioned AI applications to prevent corporate data leakage.
Addressing Shadow AI Risks: A Governance and Visibility Imperative
Enterprises face growing risks from unmanaged AI tool usage. This analysis details Shadow AI threats, compliance challenges, and crucial governance strategies.
Securing Enterprise Browser Environments Against AI Extension Risks
Discover the security blind spots of AI browser extensions and how to mitigate data exfiltration risks in corporate environments via managed policies.
Managing Enterprise Risks of Shadow AI and Unauthorized LLMs
Shadow AI bypasses security controls, leading to data leakage. Learn how to identify and mitigate risks from unauthorized AI tools in the enterprise.
Managing Shadow AI Risks in Healthcare: Security Governance Guide
Healthcare organizations face rising risks from unsanctioned AI usage. Learn how to secure patient data and implement governance to prevent data leakage.
Shadow AI & Zero-Click Exploits Expand Enterprise Mobile Attack Surface
Enterprises face a growing mobile attack surface from shadow AI in apps, outdated devices, and zero-click exploits, leading to unseen risks for corporate data.
Securing Shadow AI: How to Discover and Govern Unauthorized SaaS Tools
Learn how security teams can identify shadow AI usage, monitor OAuth grants, and implement governance to prevent corporate data leakage in SaaS environments.
Mitigating Shadow AI Risks: Data Leaks from AI Browsers
Banning AI browsers leads to 'Shadow AI' and uncontrolled data exposure. Learn to implement controlled enablement and robust governance to prevent data leakage.