Red Teaming Agent

Key Features

1. AI-Powered Adversarial Assurance Multi-agent red teaming platform built natively for AWS to continuously test cloud, application, and AI/ML environments.

2. Autonomous Red Team Agents Recon, exploitation, phishing, evasion, and data-poisoning agents simulate real attacker behaviors end-to-end.

3. MITRE ATT&CK–Aligned Attack Chaining Multi-stage scenarios reveal privilege escalation paths, misconfigurations, IAM risks, and vulnerable AI pipelines.

4.Replayable Telemetry for SOC Teams Stream adversarial activity to CloudWatch, Firehose, and OpenSearch to validate detections and tune rules.

5. Governed & Safe Execution PolicySentinel enforces scope, blast radius, and human-in-the-loop approvals for high-risk tests.

6. Automated Evidence & Compliance Evidence packs stored in S3 and indexed in DynamoDB for SOC 2, ISO 27001, NIST CSF, GDPR, HIPAA, and EU AI Act.

Use Cases

1. Continuous cloud and application red teaming.

2. SOC stress testing with synthetic alerts and replayable attacks.

3. AI/ML pipeline security: prompt injection, data poisoning, model misuse.

4. LLM-driven phishing and social engineering simulations.

5. Full kill-chain tabletop exercises for incident response readiness.

6. Automated, audit-ready compliance evidence generation.

Target Users

1. CISOs & Security Leaders

2. Red Team & Offensive Security Engineers

3. SOC Analysts & Incident Responders

4. Cloud Security & DevSecOps Teams

5. AI/ML & MLOps Teams

6. Risk, Compliance & Audit Teams

Benefits

1. Continuous adversarial testing that identifies risks early.

2. Stronger SOC performance with replayable simulations.

3. Hardened AI/ML pipelines against poisoning and misuse.

4. Up to 70% reduction in manual compliance effort.

5. Improved AWS security posture and misconfiguration detection.

6. Lower cost of offensive operations through automation.

7. Increased trust via transparent, governed adversarial assurance.

Value Proposition

1. Red Teaming Agents delivers continuous, automated adversarial assurance directly inside AWS.

2. Autonomous agents simulate sophisticated attackers across cloud, applications, and AI/ML systems—safely and at scale. With AWS-native integration, replayable telemetry, and automated compliance evidence, organizations strengthen defenses, accelerate audits, and elevate SOC readiness.

3. The result: reduced risk, greater resilience, and a proactive, intelligence-driven security posture for modern cloud and AI workloads.