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Introduction
Microsoft has unleashed a wave of security innovations in June 2026 that fundamentally reshape how enterprises discover vulnerabilities, protect AI agents, and secure multicloud environments. From the agentic vulnerability detection system codenamed MDASH to runtime protection for local AI agents and expanded multicloud coverage in Defender for Cloud, these updates signal Microsoft’s ambition to make security ambient, autonomous, and AI-1ative.
Learning Objectives
- Understand how MDASH’s multi-model agentic scanning system discovers and remediates complex vulnerabilities across proprietary codebases
- Learn to configure Microsoft Defender for Endpoint to discover and protect local AI agents against prompt injection attacks
- Master Microsoft Entra Backup and Recovery for restoring critical identity directory objects after accidental changes or security incidents
- Implement Defender for Cloud to protect open-source relational databases on AWS RDS with threat detection and sensitive data discovery
- Leverage Microsoft Purview customizable reports for data security posture insights and trend analysis
- Navigate the expanded multicloud security recommendations in Defender for Cloud across AWS and GCP
- Apply unified identity risk scoring to prioritize high-risk identities and automate response
1. Codename MDASH: The AI-Powered Vulnerability Discovery Engine
Microsoft’s codename MDASH is a multi-model agentic scanning system designed to discover, validate, and help remediate software vulnerabilities across complex environments. Unlike traditional vulnerability scanners, MDASH orchestrates more than 100 specialized AI agents across a configurable panel of frontier and distilled models to reason through proprietary code and systems.
What MDASH actually does: The system operates in a staged process where specialized agents systematically find, assess, and verify software flaws. It doesn’t just detect vulnerabilities—it validates them and proves exploitability across codebases. When security teams use MDASH to scan a complex application, it can identify and validate previously undetected vulnerabilities and route them into Microsoft Defender workflows and engineering pipelines for remediation, creating a closed loop connecting discovery, validation, and remediation across the Microsoft stack.
Real-world impact: In May 2026, MDASH found 16 new vulnerabilities in the Windows networking and authentication stack, with four identified as critical. The most severe was CVE-2026-33827, a CVSS 8.1 use-after-free in tcpip.sys that could be triggered remotely with no authentication required, simply by sending malformed IPv4 packets.
How to get started: MDASH integrates with Microsoft Defender, GitHub Code Security, Agent 365, and Microsoft Purview as part of an enterprise security control plane. Sign up to follow codename MDASH and join the private preview to surface and validate hard-to-find vulnerabilities with multi-model AI.
- Microsoft Defender Extends Endpoint Protection to Local AI Agents
Local AI agents—including coding assistants like GitHub Copilot CLI, Claude Code, desktop AI apps, and autonomous agent platforms—run with user privileges on endpoints and can access files, tools, and services. This creates a new attack surface where malicious instructions hidden in content an agent reads can hijack the agent through prompt injection.
Microsoft Defender for Endpoint now automatically discovers more than 25 types of local AI agents and Model Context Protocol (MCP) servers across managed Windows and macOS devices. The discovered agents appear as assets in the AI agent inventory, exposure map, and Advanced Hunting, giving security teams visibility into local AI agent usage across their organization.
Runtime protection in action: Defender inspects the agent loop—user prompts, tool calls, and tool responses—and can block risky activity before it executes, helping stop prompt injection and unsafe agent actions at the device level. If a developer using a coding agent is targeted by a prompt injection attempt, Defender detects and blocks it before the malicious action executes.
Configuration steps:
- Ensure your organization has Microsoft Defender for Endpoint Plan 2, Microsoft 365 E5, Microsoft Agent 365, or Microsoft 365 E7 license
- Local AI agent discovery and runtime protection are available in public preview on Windows endpoints
- Blocked and audited events appear as alerts in Microsoft Defender to support incident correlation and investigation workflows
- For detailed configuration, refer to the “Set up AI agent runtime protection with Microsoft Defender for Endpoint” documentation
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Microsoft Entra Backup and Recovery: Identity Resilience Built In
Microsoft Entra Backup and Recovery is now generally available, delivering Microsoft-managed, always-on backups native to your environment that are protected from deletion or modification. This built-in admin recovery capability helps administrators restore critical Entra ID directory objects to a previously known good state after accidental changes or security-related incidents.
How backups work:
- Backups are created automatically once per day by Microsoft
- Up to five days of backup history is retained
- No user, admin, or application (including Global Administrator) can disable, delete, or modify backups
- Backup data is stored in the same geo-location as the Entra tenant
What can be restored: The feature supports restoring users, groups, applications, service principals, Conditional Access policies, named locations, authentication method policy, and partial authorization policy.
Step-by-step recovery process:
- Sign in to the Microsoft Entra admin center as at least a Microsoft Entra Backup Administrator
- Navigate to Backup and recovery > Backups or Backup and recovery > Difference reports
- Review available backups from the last five days or generate a difference report to compare the current tenant state with a selected backup
- Apply scoping filters to limit recovery to specific object types (Users, Conditional Access Policies, etc.) or specific object IDs (up to 100 IDs)
5. Select Recover to start the recovery job
Best practice: Always generate and review a difference report before starting a recovery. Recovery actions apply directly to your tenant and cannot be undone automatically.
Prerequisites: Microsoft Entra ID P1 or P2 licensing, with Microsoft Entra Backup Reader role for viewing or Backup Administrator role for creating difference reports and triggering recoveries.
- Microsoft Defender Protects Open-Source Relational Databases on AWS RDS
Microsoft Defender for Cloud now extends database threat protection to open-source relational databases on Amazon Web Services (AWS) Relational Database Service (RDS). As of June 1, 2026, this capability transitioned to General Availability, with billing starting and usage reflected in July 2026 bills.
Supported database engines:
- Aurora PostgreSQL and Aurora MySQL
- PostgreSQL, MySQL, and MariaDB
Protection capabilities:
- Built-in threat detection identifies anomalous access patterns and brute-force attempts
- Automated sensitive data discovery helps teams understand where high-risk data resides
- Integrated investigation across Microsoft Defender helps teams prioritize and respond to database risks
Step-by-step enablement:
- Sign in to the Azure portal and search for Microsoft Defender for Cloud
- Select Environment settings and choose the relevant AWS account
3. Locate the Databases plan and select Settings
- Toggle open-source relational databases to On (this also enables Sensitive data discovery)
- Select Configure access and download the CloudFormation template
- Update the stack in AWS with the required permissions
- Confirm the CloudFormation template was updated and select Review and generate, then Update
Verification: After enablement, verify connector status is “Connected” in Defender for Cloud. Discovery scans run every 12 hours after the initial discovery, and new RDS resources can take up to six hours to appear.
- Microsoft Purview Customizable Reports for Data Security Insights
Microsoft Purview customizable reports are now generally available in Data Security Posture Management (DSPM), giving security teams greater control and flexibility to tailor reporting views, analyze trends, and quickly surface insights that enable faster, more informed decisions.
What customizable reports enable:
- Query current and previous labels, protection status, and sensitive information type (SIT) counts for each scanned file in the repository
- Calculate deltas between scans—for example, changes in the number of SIT matches per file
- View which sensitive information types matched which files and the count of matches per type
- Connect the scanner cluster database to reporting tools like Power BI, enterprise reporting warehouses, or SQL-based dashboard tools without piecing together CSV exports
How to enable: Custom Reporting is available with Microsoft Purview Information Protection client and scanner version 3.2.89.0 or later. It is enabled by administrators through scanner feature control.
Example use case: Security teams can create role-specific reports that highlight high-risk data exposure trends to guide policy decisions. Choose from out-of-the-box reports or create custom reports tailored to your organization’s specific needs, with easy options to export and share insights across teams and stakeholders.
6. Expanded Multicloud Coverage in Defender for Cloud
Microsoft Defender for Cloud is expanding multicloud coverage and visibility across AWS and Google Cloud, adding support for approximately 90 additional resource types and more than 200 new security recommendations.
New multicloud security recommendations (public preview): More than 60 multicloud security recommendations now available across AWS services including AppFlow, AppStream, AppSync, Athena, Auto Scaling, CodeBuild, Cognito, Comprehend, DMS, DataSync, FSx, Kendra, Keyspaces, Kinesis, MQ, Neptune, and QuickSight. These span data security, identity and access, networking, compute, and container categories, helping assess encryption, access control, logging, network exposure, backup, and workload hardening across your multicloud estate.
Additional coverage: Preview recommendations added for Amazon MSK and OpenSearch Service (covering TLS enforcement, public access, unauthenticated access, encryption, audit logging, fine-grained access control, VPC access, customer-managed keys, and service update hygiene), along with GCP networking recommendations for App Engine SSL certificate expiration and DNS authorization.
How to leverage: Defender for Cloud provides a single posture management plane with unified recommendations, one secure score, and consistent MCSB assessment across Azure, AWS, and GCP. Connect on-premises servers, AWS accounts, and GCP projects to extend unified security coverage across your entire hybrid and multicloud estate.
7. Unified Identity Risk Score for Prioritized Response
Microsoft has introduced a unified identity risk score that helps security teams assess risk across all accounts and identity types. This new risk score for identities ranges from 0 to 100 and indicates the likelihood of compromise and the potential impact based on criticality and privileged roles.
Key capabilities:
- Identity inventory now separates human identities and non-human identities (Entra ID apps, Active Directory service accounts, Google Workspace apps, and Salesforce apps)
- A new Identity Security dashboard provides a unified hub to monitor the most important posture gaps, active exposures, and identity risk
- A Risk score tab on the Identity page provides a detailed breakdown of risk factors, including percentile comparison and risk trends
- Unified identity-security recommendations help identify and remediate configuration weaknesses in identity sources
Practical application: For security operations teams, the unified risk score helps prioritize high-risk identities. This unified score evaluates accounts, sessions, and workloads in real time to enable more dynamic, risk-based Conditional Access decisions. A new identity-focused RBAC role allows security teams to take remediation actions without requiring broad administrative permissions.
What Undercode Say
- The AI-1ative security paradigm is here. MDASH represents a fundamental shift from rule-based vulnerability scanning to agentic, reasoning-based discovery. With over 100 specialized AI agents orchestrating across models, this isn’t just another tool—it’s a new category of security capability that thinks like an attacker.
-
Local AI agents are the new endpoint blind spot. Microsoft’s move to discover and protect local AI agents addresses a critical gap most organizations haven’t even recognized yet. Prompt injection isn’t theoretical—it’s the new phishing, and it targets the very tools developers and knowledge workers rely on daily.
Analysis: The June 2026 security updates reveal a clear strategy: Microsoft is weaving security into every layer of the modern enterprise stack—from code repositories (MDASH + GitHub Code Security) to endpoints (AI agent runtime protection) to identity (Entra Backup) to data (Purview) to cloud infrastructure (multicloud Defender). The common thread is AI—both as the attack surface to protect and as the engine driving defense. MDASH finding 16 Windows vulnerabilities before Patch Tuesday proves the model works. The unification of identity risk scoring across human and non-human identities signals that Microsoft understands the modern identity attack surface extends far beyond user accounts. Organizations that embrace these capabilities will gain a significant security advantage; those that don’t will struggle to keep pace with AI-accelerated threats.
Prediction
- +1 MDASH will evolve into the industry’s de facto standard for AI-driven vulnerability discovery within 18 months, forcing competitors to develop or acquire similar agentic capabilities.
- +1 Runtime protection for local AI agents will become as essential as endpoint antivirus, with major EDR vendors following Microsoft’s lead by mid-2027.
- -1 The complexity of managing multiple AI agents across endpoints will create new operational overhead, requiring specialized AI security roles that most organizations don’t yet have.
- +1 Multicloud security will increasingly converge around unified platforms like Defender for Cloud, reducing the need for cloud-specific security tools and simplifying posture management.
- -1 Identity resilience through Entra Backup will highlight how few organizations have mature identity recovery playbooks, leading to a spike in costly recovery incidents as teams learn the hard way.
- +1 The integration of MDASH, Defender, and GitHub Code Security will accelerate shift-left security, catching vulnerabilities earlier in the development lifecycle and reducing remediation costs by orders of magnitude.
- -1 As AI agents proliferate, prompt injection attacks will become one of the top five attack vectors by 2027, outpacing many traditional threat categories.
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