SECURE THE AI THAT RUNS YOUR BUSINESS.
Deploy autonomous systems with confidence. Our agentic architectures are engineered from the ground up to prevent excessive agency, mitigate prompt injection, and enforce enterprise data boundaries.
Security Controls
We implement a defense-in-depth approach to AI security, ensuring agents operate safely within deterministic boundaries.
Identity & Authorization
Agents authenticate using standard enterprise IdP, assuming specific roles with restricted scopes.
Least Privilege & Tool Permissions
Rigid API access controls ensure agents can only execute tools explicitly permitted for their active task.
Data Security
In-transit and at-rest encryption, with automatic redaction of PII and MNPI before LLM processing.
Prompt Injection Defense
Multi-layered input validation and intent classification to prevent adversarial manipulation.
Indirect Prompt Injection
Sanitization of data retrieved from external APIs or documents before it enters the agent's context window.
Excessive Agency Prevention
Hardcoded boundaries on autonomous loops; mandatory human-in-the-loop triggers for high-risk actions.
Agent-to-Agent Security
Mutual authentication and strictly typed payloads when specialized agents communicate.
Memory Security
Tenant-isolated vector databases with RBAC enforcing access to long-term agent memory.
Auditability
Immutable logging of every prompt, context window, reasoning step, tool call, and output.
Human Approval (HITL)
Configurable workflow interruptions requiring cryptographic approval from a human operator.
Monitoring & AI Red Teaming
Continuous adversarial testing and real-time behavioral anomaly detection.
Model Risk
Provider-agnostic routing ensuring fallback to alternative LLMs during outages or behavioral degradation.
SECURE YOUR AI INITIATIVES
Discuss our security architectures and implementation practices with a technical expert.
TALK TO AN AI EXPERT