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▸ SECURE CONNECTION ▸ LATENCY: 4.2ms ▸ AGENTS: 17,432 ▸ THREAT LEVEL: NOMINAL
ROGUE TERMINAL v1.0 ESC to close

▓▒░ USE-CASES / AWS-BEDROCK

Bedrock gives you the models.
Security is not included.

Multi-model access, Knowledge Bases, and Agents expand your capabilities - and your attack surface. Different models, different vulnerabilities, one platform to secure them all.

multi-model API · Knowledge Bases · Agents · Guardrails · cross-model attack surface

rogue-scan SCANNING
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▓▒░ SUPPLY CHAIN

Your agent is only as secure as its weakest link

Every layer in your Bedrock stack is an attack surface.

LAYER 01
MODEL PROVIDER
Anthropic, Meta, Amazon
model poisoning
LAYER 02
BEDROCK API
Your AWS account
IAM misconfiguration
LAYER 03
KNOWLEDGE BASES
S3, OpenSearch, RDS
data injection
LAYER 04
BEDROCK AGENTS
Tool definitions, orchestration
tool over-permission
LAYER 05
YOUR APPLICATION
API Gateway, Lambda
prompt injection
LAYER 06
END USERS
Customers, employees, partners
data leakage
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▓▒░ ATTACK SURFACE

The attack surface Bedrock Guardrails don't cover

AWS Guardrails are a start. They're not enough.

▓▒░ ATTACK VECTOR

Knowledge Base RAG injection

Your Bedrock Knowledge Base ingests documents from S3 and OpenSearch. An attacker who can upload or modify a source document can plant instructions that the RAG pipeline injects into every agent response. The agent trusts Knowledge Base content by default - there's no content integrity verification.

▓▒░ ATTACK VECTOR

Cross-model context contamination

Bedrock lets you use multiple models in the same agent workflow. Context from a Claude inference call gets passed to a Titan embedding. Sensitive data in one model's response becomes training signal for another. Each model has different data handling policies - Bedrock doesn't enforce cross-model isolation.

▓▒░ ATTACK VECTOR

Agent tool over-permissions

Bedrock Agents can invoke Lambda functions, query databases, and call external APIs. The default IAM permissions are broader than they need to be. An attacker who can manipulate the agent's reasoning can escalate from a read-only query to a write operation - because the IAM role allows it.

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▓▒░ SOLUTION

Scan it. Guard it. Govern it.

Three capabilities purpose-built for AI infrastructure.

01

Red team your agents before deployment

75+ vulnerability checks purpose-built for Bedrock agents. Test for prompt injection, Knowledge Base poisoning, tool misuse, cross-model contamination, and IAM escalation - all mapped to OWASP Agentic Top 10 and MITRE ATLAS.

Bedrock-specific attack techniques across all supported models
Knowledge Base integrity verification
Agent tool permission analysis
CVSS scoring with Bedrock-native remediation guidance
SCAN: bedrock-customer-agent
──────────────────────────
Models tested: 3 (Claude, Titan, Llama)
Checks run: 75/75
Critical: 2
High: 2
Medium: 3
Low: 1
──────────────────────────
Frameworks: OWASP MITRE ISO 42001
02

Runtime guardrails for every inference call

Bedrock Guardrails are a starting point. Rogue adds behavioral analysis, cross-model monitoring, and content verification on every inference call - blocking attacks that bypass native controls.

Sub-5ms enforcement on every API call
Cross-model context tracking and isolation
Knowledge Base output verification
Zero data egress - runs in your VPC
RUNTIME: bedrock-prod (us-east-1)
──────────────────────────────────
Inference calls/hr: 12,847
Guardrail triggers: 47
Rogue blocks: 12 (bypassed native)
Latency overhead: <3ms p99
Data egress: 0 bytes
Status: PROTECTED
03

Continuous posture management for your Bedrock estate

IAM policies drift. Knowledge Base sources change. New models get added. Rogue continuously monitors your Bedrock deployment's security posture and alerts on configuration changes that introduce risk.

IAM policy analysis for Bedrock resources
Knowledge Base source integrity monitoring
Model configuration change detection
CloudTrail integration for full audit trail
POSTURE: aws-account-prod
────────────────────────
Bedrock Models: 5 monitored
Knowledge Bases: 3 monitored
Agents: 8 monitored
IAM Compliance: 87% (2 issues)
Last Scan: 4 min ago
Drift Alerts: 1 (new model added)

Deploys in your VPC. Zero data egress. Full CloudTrail integration. Learn more →

You built the agent. Now secure the foundation.

Red team your Bedrock agents before they hit production.