AI Security

Secure copilots, RAG systems, AI assistants, and model-driven workflows before they reach production.

Ancla Technologies helps teams build AI systems with safer access patterns, stronger guardrails, evaluation discipline, model governance, and controls for prompt, data, and tool-use risk.

Data & AI Agentic Workflows Cyber Security

Ideal for

Teams deploying internal copilots, AI search, RAG applications, AI-enabled workflows, or model-backed decision support.

AI risk surfaces

Prompt and retrieval riskPrompt injection, unsafe retrieval, context poisoning, and unintended disclosure across LLM workflows.

Model and tool controlsGuarding tool invocation, connector access, privileged actions, and agent decision scope.

Data exposureReduce leakage risk around documents, embeddings, logs, prompts, and inference behavior.

Governance and defense

Evaluation and red teamingTest model behavior, unsafe responses, jailbreak paths, and failure modes before broader rollout.

Policy and approval layersHuman review, response boundaries, content controls, and escalation paths for sensitive workflows.

Production oversightMonitoring, auditability, change control, and model-operating discipline for long-term trust.

Secure AI Rollout

Guardrails, evaluations, and operating controls should be part of the AI design, not an afterthought.

AI security connects model behavior, retrieval design, access control, workflow approvals, and production monitoring into one defensible operating model.