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Prompt injection protection, policy enforcement, toxicity filtering, hallucination mitigation, secure tool access and data isolation.
Prompt injection protection, policy enforcement, toxicity filtering, hallucination mitigation, secure tool access and data isolation.
Each pillar can be enabled, configured and audited independently.
Out-of-model enforcement.
OPA / Rego compatible.
Output filtering and redaction.
Citation-anchored answers.
Per-agent allowlists.
Per-tenant, per-team data isolation.
Safety isn't a prompt. It's a stack — defense-in-depth from input parsing through tool execution to output review.
Prompt injection patterns, PII, jailbreak attempts and out-of-policy requests are detected and either rewritten, denied, or escalated.
The reasoning engine operates within explicit role and policy constraints — what an agent may consider, propose, or call.
Tool calls run with least-privilege scopes, mTLS, and per-call policy checks. Destructive operations require human approval.
Generated text and structured outputs are checked for hallucinations, toxicity, leaked secrets, and policy violations before delivery.
Every blocked attempt is logged, classified, and fed back to improve guardrails — without retraining base models.
Real numbers from production deployments — across banking, healthcare, telco, manufacturing and the public sector.
Agents cite sources from the policy-aware RAG layer. Answers without grounding either trigger retrieval or are rejected — no plausible-but-wrong drift to production.
Built-in red-team prompts and ongoing adversarial evaluation catch new injection patterns before they reach your users.
Six concrete patterns from regulated enterprises across financial services, healthcare, telecom, public sector, energy and manufacturing.
Agents will not give investment advice, will not reveal internal account flags, and will not run trades outside policy.
Agents redact protected attributes before any outbound LLM call, with strict allow-lists per regulator.
Clinical recommendations are bounded by formulary, contraindication and dose-range checks, then routed for human approval.
Account-change requests require multi-factor confirmation and pattern checks before execution.
Benefit-determination agents cannot bypass eligibility rules; every denial includes a citation.
Agents cannot issue commands to PLCs / SCADA without explicit, time-bounded human authorization.
Telling a model 'don't do bad things' is necessary but radically insufficient. Production safety is a stack.
Outside-the-model controls — policy, allowlists, output validation, redaction, and approval gates.
Yes. Every release goes through an adversarial red-team suite.
Most customers adopt new capabilities in 2-4 weeks through starter packs and onboarding workshops.
No. The capability runs on your existing xyner deployment — cloud, hybrid, on-prem or sovereign.
Yes — our customer success team and partners deliver guided migrations and pilots.
See xyner in your environment with a guided executive demo.