Case Study: Security & Forensics

Red/Blue Team Operations

"Real-time threat detection, session replay, automated incident response, and forensic analysis for enterprise security teams."

Security teams need visibility into AI agent behavior. Our Security & Forensics track provides red/blue team capabilities with real-time monitoring, automated incident response, and complete forensic reconstruction of any agent interaction.

Attack VectorPrompt Injection
Intercepted
Security Gateway
Threat DetectedJAILBREAK_ATTEMPT
Quarantine
Forensics
Alert Triggered
Security TeamSIEM Alert
Session ReplayEvidence
REF: SEC-OPS
AKIOS ENG

01. The Challenge

A Fortune 100 enterprise with 50,000+ employees deployed AI agents for internal support but discovered a critical security gap. The agents had access to sensitive HR data and could potentially leak confidential information through prompt injection attacks. Traditional security tools couldn't monitor AI-specific threats like "jailbreaking" attempts or data exfiltration through creative prompting. The company faced regulatory scrutiny under SOX compliance requirements, with existing SIEM systems unable to parse AI-specific logs. They needed comprehensive security controls that could detect, contain, and provide forensic evidence for any AI-related security incidents.

02. The Solution

AKIOS can implement a comprehensive security framework with four layers: Detection, Investigation, Containment, and Recovery. We deploy the AKIOS Security Gateway as a man-in-the-middle proxy for all AI traffic, implementing real-time threat detection using custom ML models trained on red team attack patterns. The system provides session replay capabilities allowing security teams to watch any agent interaction in real-time or rewind to investigate suspicious activity.

Automated incident response can trigger quarantine measures for compromised sessions, while maintaining complete audit trails for forensic analysis. The 10-week implementation can include red team validation where our security experts attempt to breach the system using advanced AI attack techniques, ensuring the defenses are battle-tested before production deployment.

Executive Impact Analysis
Detection Accuracy
High
Response Time
< 30s
Forensic Coverage
Comprehensive
SIEM Integration
Complete
Cost Savings
Significant
False Positives
< 0.1%

03Technical Implementation

Threat Detection & Monitoring

  • AKIOS Security Gateway deployed as man-in-the-middle proxy for all AI traffic
  • Custom ML models trained on red team attack patterns (prompt injection, jailbreaking)
  • Real-time anomaly detection with 99.2% accuracy for AI-specific threats
  • Session replay capabilities for live monitoring and investigation

Incident Response & Containment

  • Automated playbooks for incident containment and traffic quarantine
  • Real-time alert escalation with configurable response workflows
  • Compromised session isolation and automated remediation
  • Integration with enterprise SOAR platforms for coordinated response

Forensic Analysis & Audit

  • Immutable audit trails with cryptographic signatures for e-discovery
  • Complete session reconstruction with searchable transcripts and metadata
  • Blockchain-style verification for regulatory compliance investigations
  • Native SIEM connectors (Splunk, ELK) with AI-specific log parsing

04Implementation Roadmap

Phase 1: Security Assessment (Weeks 1-2)

  • Conduct comprehensive security audit of existing AI infrastructure
  • Identify AI-specific threat vectors and attack surfaces
  • Establish baseline security monitoring and logging capabilities

Phase 2: Infrastructure Deployment (Weeks 3-5)

  • Deploy AKIOS Security Gateway as man-in-the-middle proxy
  • Implement custom ML models for threat detection
  • Configure session replay and forensic analysis systems

Phase 3: Red Team Validation (Weeks 6-8)

  • Execute comprehensive red team testing with AI attack techniques
  • Validate automated incident response and containment playbooks
  • Test SIEM integration and forensic analysis capabilities

Phase 4: Production & Monitoring (Weeks 9-10)

  • Graduated rollout with real-time threat monitoring active
  • Establish ongoing security operations and incident response
  • Enable continuous security monitoring and automated alerting

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