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AI has made fundamental changes to the operating environment for cybersecurity. Explore exposure management guidance on recommended controls and take action and stay ahead of cyberthreats. The post From guidance to action: Security fundamentals that materially reduce risk appeared first on Microsoft Security Blog.
Analysis Summary
# Best Practices: Security Fundamentals for Exposure Management
## Overview
These practices address the evolving threat landscape in the age of AI. They focus on reducing the attack surface through "Security Fundamentals"—a set of core controls that provide the highest return on investment for risk reduction. The goal is to move from reactive patching to proactive exposure management by securing identities, permissions, and data.
## Key Recommendations
### Immediate Actions
1. **Enable Multi-Factor Authentication (MFA):** Implement MFA for all users, prioritizing administrative and privileged accounts to prevent credential-based attacks.
2. **Audit Privileged Access:** Identify all accounts with administrative rights and remove any that are unnecessary.
3. **Review AI Visibility:** Assess current visibility into AI systems and agents operating within the environment.
4. **Access Secure Now:** Use the "Secure Now" dashboard within Microsoft Security Exposure Management to identify immediate threats and recommended initiatives.
### Short-term Improvements (1-3 months)
1. **Implement Least Privilege:** Refine access controls to ensure users and systems have only the minimum permissions required for their roles.
2. **Data Discovery and Labeling:** Use tools (like Microsoft Purview) to identify, classify, and protect sensitive data to prevent unauthorized exfiltration or exposure via AI.
3. **Establish Conditional Access:** Set up policies that verify identity and device health explicitly before granting access to resources.
4. **Define AI Permissions:** Clearly define and enforce permissions for AI agents to prevent "privilege escalation" by autonomous systems.
### Long-term Strategy (3+ months)
1. **Adopt a Zero Trust Architecture:** Fully integrate the three pillars: Verify explicitly, Use least privileged access, and Assume breach.
2. **Continuous Exposure Management:** Transition from periodic vulnerability scanning to a continuous discipline of identifying and neutralizing exposures across silos.
3. **Automated Governance:** Implement automated tools to manage governed identities and permissions at scale as the organization grows.
4. **Resilience Planning:** Develop incident response plans specifically tailored for AI-powered threats and automated security orchestration.
## Implementation Guidance
### For Small Organizations
- **Focus on Defaults:** Enable security defaults in your identity provider (e.g., Microsoft Entra) to turn on MFA automatically.
- **SaaS Protection:** Prioritize securing the cloud applications (Email, CRM, File Storage) that hold the most sensitive data.
### For Medium Organizations
- **Identity Governance:** Implement regular access reviews to ensure employees who change roles lose access to old, unnecessary permissions.
- **Endpoint Management:** Use tools like Microsoft Intune to ensure all devices accessing the network meet minimum security standards.
### For Large Enterprises
- **Cross-Silo Visibility:** Use Exposure Management platforms to break down data silos between IT, Security, and Cloud teams.
- **AI Agent Management:** Develop a specialized governance framework for autonomous agents and AI-powered workflows to prevent shadow AI.
## Configuration Examples
*While the article emphasizes high-level strategy, the following technical alignment is recommended based on the "Secure Now" guidance:*
- **MFA Policy:** Set to "Require MFA" for all cloud apps with no exceptions for trusted locations to combat session hijacking.
- **Conditional Access:** Configure a policy: *If [User] is [Admin Group] AND [Device] is [Non-Compliant], THEN [Block Access].*
- **Purview Data Labeling:** Create a "Highly Confidential" label that triggers encryption and prevents copy-paste into public AI chatbots.
## Compliance Alignment
- **NIST Cybersecurity Framework (CSF) 2.0:** Aligns with the "Protect" and "Identify" functions through exposure management.
- **ISO/IEC 27001:** Supports A.9 (Access Control) and A.18 (Compliance) controls.
- **CIS Controls:** Aligns with Control 5 (Account Management) and Control 6 (Access Control Management).
## Common Pitfalls to Avoid
- **"Set and Forget" MFA:** Failing to update MFA methods to phishing-resistant versions (like FIDO2) as attackers evolve.
- **Over-Privileged AI Agents:** Granting AI agents broad read/write access to data repositories without granular controls, leading to accidental data leaks.
- **Siloed Risk Assessment:** Looking at vulnerabilities only in terms of "patches needed" rather than "attack paths" that lead to sensitive data.
## Resources
- **Microsoft Security Exposure Management:** [https://security.microsoft.com/securenow](https://security.microsoft.com/securenow)
- **Zero Trust Guidance Center:** [https://www.microsoft.com/en-us/security/business/zero-trust](https://www.microsoft.com/en-us/security/business/zero-trust)
- **Microsoft FastTrack (Technical Assistance):** [https://learn.microsoft.com/en-us/microsoft-365/enterprise/request-fasttrack-assistance](https://learn.microsoft.com/en-us/microsoft-365/enterprise/request-fasttrack-assistance)