Overview: The Security & Protection Layer
Shield is the security and protection layer within the Kontrols suite. It safeguards the Dataknobs ecosystem — data, infrastructure, AI assistants, and pipelines — from malicious activity, unauthorized access, and operational threats.
Mission: Provide defense, resilience, and integrity assurance across all products, ensuring that AI systems operate securely and withstand both external attacks and internal misuse.
Shield complements GateKeep (policy definition) and Enforcer (policy execution) by adding security intelligence, intrusion detection, and resilience management.
Core Capabilities
- Intrusion Detection System (IDS): Detect suspicious behavior or attacks across data, APIs, or model endpoints.
- Threat Intelligence Engine: Aggregate signals from models, APIs, and users to predict and prevent security risks.
- Data Encryption & Tokenization: Encrypt sensitive data in motion and at rest; tokenize confidential identifiers.
- Model Protection & Access Control: Restrict and log access to sensitive LLMs, embeddings, or fine-tuned models.
- API Firewall & Rate Guard: Monitor and throttle suspicious or abusive API traffic automatically.
- Agent Behavior Shield: Monitor autonomous AI agents for unsafe or unauthorized actions.
- Anomaly Detection for AI Outputs: Detect unusual or risky model outputs that could indicate drift, attack, or poisoning.
- Data Integrity & Tamper Detection: Verify and log all data changes; detect tampering or unauthorized edits.
- Secure Audit Logging: Immutable audit trail for all critical system events and administrative actions.
- Zero-Trust Access Control: Enforce least-privilege access across systems, models, and datasets.
- Malware & Injection Protection: Scan uploaded documents, code, and prompts for malicious or injected content.
- Incident Response Orchestration: Automatically contain, isolate, and mitigate detected threats.
- Recovery & Continuity Engine: Snapshot-based rollback and auto-restore in case of breach or system failure.
Key Modules
1. Threat Detection & Prevention Engine
Monitors pipelines, APIs, and model usage patterns. It uses AI-driven classification to predict and block security breaches.
2. AI & Agent Protection Layer
Detects prompt injection, agent misuse, and data exfiltration attempts. It works with Enforcer to block unsafe operations in real time.
3. Data Integrity & Encryption Layer
Encrypts all PII, embeddings, and critical datasets at rest and in transit. It detects unauthorized modifications and ensures audit verifiability.
4. Security Command Center
Provides centralized visibility into security posture, incidents, and resilience metrics. It connects to Kontrols audit and Enforcer logs.
5. Recovery & Continuity Manager
Orchestrates system recovery, rollback, and re-validation after incidents. It runs scheduled chaos tests to maintain resilience.
Key Benefits
- End-to-End Security: Protects data, models, and infrastructure across all Dataknobs layers.
- Proactive Threat Detection: Detects and neutralizes attacks before they cause damage.
- AI-Aware Defense: Understands and defends against AI-specific risks like prompt injection or model theft.
- Zero-Trust Architecture: Enforces identity-first access and least-privilege governance.
- Tamper-Proof Operations: Immutable logs ensure data and model integrity.
- Resilient by Design: Built-in recovery and chaos testing for business continuity.