Executive Summary
Between December 4, 2025, and January 26, 2026, AWS Bedrock experienced a security vulnerability where Service Control Policies (SCPs) were not fully enforced when using long-term API keys on the bedrock-mantle endpoint. This flaw allowed unauthorized actions that could bypass established security controls. AWS has since resolved the issue and confirmed that no customers were impacted. (sonraisecurity.com)
This incident underscores the critical importance of continuous monitoring and timely patching in cloud environments. Organizations must remain vigilant to ensure that security policies are effectively enforced to prevent potential breaches.
Why This Matters Now
The rapid adoption of AI and cloud services increases the attack surface for potential security vulnerabilities. Ensuring robust enforcement of security policies is essential to protect sensitive data and maintain trust in cloud platforms.
Attack Path Analysis
An attacker exploited misconfigured permissions in AWS Bedrock to access and manipulate model invocation logs, knowledge bases, and agent configurations. This allowed them to escalate privileges, move laterally within the environment, establish command and control channels, exfiltrate sensitive data, and potentially disrupt operations.
Kill Chain Progression
Initial Compromise
Description
The attacker exploited misconfigured permissions in AWS Bedrock, such as 'bedrock:PutModelInvocationLoggingConfiguration' and 's3:GetObject', to gain unauthorized access to model invocation logs and knowledge base data sources.
MITRE ATT&CK® Techniques
Modify Cloud Compute Configurations
Cloud Service Discovery
Cloud Infrastructure Discovery
Valid Accounts: Cloud Accounts
Modify Cloud Resource Hierarchy
Potential Compliance Exposure
Mapping incident impact across multiple compliance frameworks.
PCI DSS 4.0 – Security of system components
Control ID: 6.4.1
NYDFS 23 NYCRR 500 – Cybersecurity Policy
Control ID: 500.03
DORA – ICT Risk Management Framework
Control ID: Article 5
CISA ZTMM 2.0 – Identity Governance
Control ID: 3.1
NIS2 Directive – Cybersecurity Risk Management Measures
Control ID: Article 21
Sector Implications
Industry-specific impact of the vulnerabilities, including operational, regulatory, and cloud security risks.
Financial Services
AWS Bedrock vulnerabilities expose AI agents with database access to lateral movement and data exfiltration, threatening compliance frameworks like PCI and regulatory requirements.
Health Care / Life Sciences
Cloud misconfiguration in AI platforms risks HIPAA violations through compromised patient data access, with attack vectors enabling unauthorized medical information disclosure and system compromise.
Computer Software/Engineering
Eight Bedrock attack vectors threaten software development environments using AI agents, enabling privilege escalation through compromised cloud services and enterprise system integrations.
Government Administration
Government AI implementations face critical risks from Bedrock vulnerabilities, with potential for unauthorized data access across connected systems and compliance framework violations.
Sources
- We Found Eight Attack Vectors Inside AWS Bedrock. Here's What Attackers Can Do with Themhttps://thehackernews.com/2026/03/we-found-eight-attack-vectors-inside.htmlVerified
- Security, Guardrails, and Observability in Amazon Bedrockhttps://docs.aws.amazon.com/bedrock/latest/userguide/security.htmlVerified
- Detect Amazon Bedrock misconfigurations with Datadog Cloud Securityhttps://aws.amazon.com/blogs/machine-learning/detect-amazon-bedrock-misconfigurations-with-datadog-cloud-security/Verified
Frequently Asked Questions
Cloud Native Security Fabric Mitigations and ControlsCNSF
Aviatrix Zero Trust CNSF is pertinent to this incident as it could have constrained the attacker's ability to exploit misconfigured permissions, thereby reducing their lateral movement and data exfiltration capabilities.
Control: Cloud Native Security Fabric (CNSF)
Mitigation: The attacker's ability to exploit misconfigured permissions may have been constrained, limiting unauthorized access to sensitive resources.
Control: Zero Trust Segmentation
Mitigation: The attacker's ability to escalate privileges may have been limited, reducing the scope of unauthorized access.
Control: East-West Traffic Security
Mitigation: The attacker's lateral movement within the environment may have been constrained, limiting unauthorized access to additional services.
Control: Multicloud Visibility & Control
Mitigation: The attacker's ability to establish command and control channels may have been limited, reducing their capacity to monitor and manipulate operations.
Control: Egress Security & Policy Enforcement
Mitigation: The attacker's ability to exfiltrate sensitive data may have been constrained, limiting unauthorized data transfers.
The attacker's capacity to disrupt operations may have been limited, reducing the potential for operational disruptions and loss of forensic data.
Impact at a Glance
Affected Business Functions
- AI Model Management
- Data Analytics
- Enterprise Application Integration
Estimated downtime: 7 days
Estimated loss: $500,000
Potential exposure of sensitive enterprise data, including proprietary information and customer records, due to unauthorized access through compromised AI agents and knowledge bases.
Recommended Actions
Key Takeaways & Next Steps
- • Implement Zero Trust Segmentation to enforce least privilege access and prevent unauthorized lateral movement.
- • Apply East-West Traffic Security controls to monitor and restrict internal communications, mitigating lateral movement risks.
- • Utilize Multicloud Visibility & Control to detect and respond to anomalous activities across cloud environments.
- • Enforce Egress Security & Policy Enforcement to control outbound traffic and prevent data exfiltration.
- • Deploy Threat Detection & Anomaly Response mechanisms to identify and respond to suspicious activities in real-time.
