Learn what AI-SPM is, why it matters, key capabilities, how it differs from CSPM, DSPM, ASPM, and SSPM, and how to apply it in SaaS environments. Includes best practices, examples, and FAQs.
Salesforce Agentforce enables autonomous AI agents inside Salesforce. Learn Agentforce security risks, data access concerns, and best practices for governing AI agents safely.
AI agents operate across SaaS apps using non-human identities and long-lived access. Learn how to secure AI agents with governance, monitoring, and remediation controls.
AI identity security governs how AI systems authenticate and operate as non-human identities across SaaS environments. Learn key risks, controls, and best practices.
Shadow AI detection helps organizations discover unauthorized AI tools, features, and integrations operating across SaaS environments. Learn how shadow AI emerges, why it is risky, and how to gain visibility.
AI access control and governance determine what data AI can access, which identities it operates under, and how permissions are enforced across SaaS environments. Learn key risks, controls, and best practices.
AI compliance and regulation require organizations to govern how AI tools access data, make decisions, and operate across SaaS environments. Learn key risks, requirements, and best practices.
AI monitoring and anomaly detection surface unusual AI-driven behavior, access drift, and unexpected activity across SaaS environments. Learn how it works and why it matters.
AI data leakage occurs when sensitive information is exposed through AI tools, copilots, and AI-powered SaaS features. Learn how it happens and how to reduce risk.
Learn what responsible AI means for enterprise security, SaaS environments, and AI governance, and how to reduce risk without slowing innovation.
Learn how prompt injection and adversarial AI attacks exploit generative AI, SaaS integrations, and AI agents, and how to reduce enterprise risk.
Learn what LLM security is, why large language models introduce new enterprise risks, and how to govern data, access, and integrations when deploying generative AI.
Microsoft Copilot Studio enables teams to build AI agents across Microsoft 365 and SaaS apps. Learn Copilot Studio security risks, governance challenges, and best practices.
AI integrations connect AI tools to SaaS applications and workflows. Learn how AI-enabled integrations introduce access and data exposure risk and how to secure them.
Gemini is embedded across Google Workspace and enterprise AI workflows. Learn Gemini security risks, data exposure concerns, and how to govern Gemini safely at scale.
OpenAI powers ChatGPT, APIs, and enterprise AI workflows. Learn OpenAI security risks, platform governance challenges, and best practices for secure enterprise adoption.
Anthropic Claude is widely used for enterprise AI workflows. Learn Claude security risks, data exposure concerns, and best practices for governing Claude safely at scale.
Microsoft Copilot accelerates work across Microsoft 365 but can expose data through oversharing and misconfigurations. Learn Copilot security risks, controls, and best practices.
Learn how to secure ChatGPT in the enterprise. Understand ChatGPT security risks, data exposure concerns, access controls, and best practices for governing AI usage safely at scale.
Learn how to secure ServiceNow against excessive privileges, integration risks, and configuration drift. This guide shows how to protect sensitive workflows and data by strengthening identity controls, monitoring activity, and enforcing governance across your entire ServiceNow environment.
Explore how to harden Atlassian against excessive permissions, exposed content, and risky app connections. This guide shows security and IT teams how to lock down collaboration across Jira, Confluence, and Bitbucket by tightening access, controlling integrations, and continually governing data sharing at scale.
This guide breaks down key Snowflake security best practices, including identity and access control, MFA, integration monitoring, and data sharing protections. Learn how to reduce data exposure risks, stop credential-based threats, and keep your Snowflake environment compliant and secure.
Strengthen NetSuite security with best practices for access control, user roles, integrations, and audit readiness. Learn how to reduce risk and protect your ERP data.
Shadow AI is the sequel to Shadow IT—only faster, riskier, and already inside your SaaS stack. Here’s what every security leader should know.
This guide outlines the SaaS security best practices your organization should adopt to safeguard sensitive data and continuously improve your SaaS security posture.
In this guide, we’ll explore everything you need to know about Google Workspace security: built-in features, best practices, how it aligns with Zero Trust, and how to conduct a comprehensive security assessment.
From improper access controls, misconfigurations, weak authentication methods, and inadequate visibility into both human and non-human identities and their associated privileges—SaaS identity risks require security teams to properly address them. Learn more in this guide.
SaaS data security refers to the strategies, processes, and tools designed to protect sensitive information stored and processed within SaaS applications. Learn more in this guide about data security challenges and how to overcome them.
This guide breaks down the differences, overlaps, and complementary roles of CSPM and SSPM to help security teams determine how to best protect their environments.
Learn how CSPM enhances cloud security by automating visibility, detecting misconfigurations, and ensuring compliance across multi-cloud environments, as well as how it complements other cloud security tools.
SaaS applications introduce unique security risks that must be addressed to safeguard sensitive data and maintain compliance. Learn about the most common SaaS risks and why managing them is critical for modern organizations.
SaaS attacks refer to cyberattacks that target SaaS applications to steal sensitive data, disrupt operations, or gain unauthorized access. Learn about some of the most notable examples of SaaS attacks, common attack vectors, and security best practices.
SaaS integrations connect one SaaS application to another, enabling data exchange, enhanced functionality, and streamlined workflows. While incredibly powerful, SaaS-to-SaaS integrations also introduce security risks. Learn more in this article.
As applied to SaaS Security, ITDR focuses on detecting threats by monitoring human & non-human identity behavior, flagging suspicious activities, and preventing potential identity-based attacks. Learn more in this article.
A look at the key differences and use cases between CASB and SSPM, helping you determine which solution is best for SaaS security in your organization.
Learn how SaaS discovery uncovers shadow IT identifying and cataloging all SaaS applications used within an organization.
Enhance your Workday security management with practical strategies and actionable insights. Read the guide to strengthen your organization's defenses today.
Enhance your virtual meeting security with essential tips and best practices. Learn how to protect your privacy and data. Read the full guide now!
In this guide, we’ll define SaaS sprawl, examine the risks it introduces, and share proven strategies for managing and reducing SaaS application sprawl.
This guide breaks down everything you need to know about Slack security, including concerns, encryption, breaches, and best practices to improve your organization’s Slack security posture.
SaaS compliance is essential for organizations to protect sensitive data, maintain customer trust, and mitigate risks. This SaaS compliance guide and checklist explore key compliance standards, challenges, and best practices.
This guide breaks down Microsoft 365 (M365) security across four key areas: capabilities, best practices, features, and assessment methodology.
Learn about generative AI security, SaaS risks, and effective GenAI security strategies to safeguard your enterprise data and applications.
This article dives into what Non-Human Identities (NHIs) are, the key challenges they introduce, and the best practices for securing them.
SaaS identity lifecycle management is the process of governing user and non-human identities (such as OAuth tokens, API keys, and service accounts) throughout their lifecycle in SaaS environments. Learn more in this guide.
SaaS risk management is the process of identifying, assessing, and mitigating security risks within SaaS applications. Learn about the importance of and best practices surrounding effective remediation.
Learn about SaaS misconfigurations - how they expose sensitive data, increase security risks, and the tools you need to secure configurations effectively.
SSPM helps organizations manage the security posture of their SaaS applications. Discover essential functions of SSPM platforms to secure your SaaS applications.
SaaS security is the practice of protecting data and user access in SaaS applications. Learn about common SaaS security challenges, SaaS security solutions, and strategies.
This article explains what CASBs are, how they work, some of the challenges in deploying and maintaining them, and the role they play in securing cloud environments.
Learn how SSPM helps secure SaaS apps by automating security configuration management, reducing risks, and ensuring compliance across platforms like M365, Google Workspace and Slack.
Learn how shadow IT in SaaS can expose sensitive data and how to implement strategies to mitigate these risks.
Valence's SaaS Security Platform protects organizations from SaaS and AI sprawl with unified discovery, SSPM, AI governance, AI agent security, ITDR, and flexible remediation options.
