Runtime enforcement, data posture, agent governance and audit-grade evidence — unified in a single platform. Start agentless, with no endpoint deployment and typically no firewall change required. No model swap, no vendor fabric.
Prompts and responses are scored inline, before they move.
Prompts routed through XAIGuard are scored across eight risk dimensions — prompt injection, data exposure, tool over-privilege, control separation, monitoring gap, RAG security, context window and supply chain — through a 4-stage classify → validate → policy → verdict pipeline.
Learn moreInline detection and redaction of PII, secrets, credentials and API keys in prompts and responses.
Learn moreWrite a rule in plain English; the platform turns it into an enforced guardrail with a verdict.
Learn moreScore prompts in batches or from your own services over REST.
Learn moreGenerate system-prompt guardrails from your policy set.
Learn moreStreaming responses are inspected as they arrive, URLs in prompts and responses are checked for exfiltration destinations, and borderline cases get a semantic second pass rather than a hard pattern verdict.
Learn moreTune thresholds and add scoped suppressions per detector so a pattern that is noise in your environment stops being noise, without disabling the detector everywhere.
Learn moreKnow what data AI can reach, and what reaches AI.
Classify data flowing into AI, track posture and detect drift.
Learn moreCatalogue the stores AI can reach and their sensitivity.
Learn moreHumans, service accounts, agents and tokens scored for dormancy, secret age, MFA and privilege.
Learn moreMonitor for exposure and breach signals.
Learn moreIngest proxy, firewall or CASB logs to identify AI tools visible across connected data sources, including usage happening outside enforcement.
Learn moreScan source for AI-specific vulnerability patterns.
Learn moreFlag unsafe deserialization, pickle-format artifacts, Keras Lambda layers, unpinned or remote model sources, trust_remote_code, and missing checksums.
Learn moreDependency and component risk scoring with mitigations.
Learn moreAssess retrieval pipelines for injection, leakage and access-control gaps.
Learn moreRetrieval results are filtered against the requesting identity's entitlements, so an assistant cannot return a document the user could not open themselves.
Learn moreAutonomous systems, held to the behaviour you approved.
Agents are registered automatically from observed traffic.
Learn moreBehavioural change against the approved baseline, with alerts.
Learn morePer-agent allowed tools, allowed egress domains, hourly request ceilings and daily spend ceilings, enforced inline.
Learn moreA violating agent is suspended and the event is written to the audit chain.
Learn moreInventory MCP servers and their tools, rate scopes, and approve or block them.
Learn moreUsage inventory, SaaS data sources and tool approval workflow.
Learn moreA multi-step agent run is reconstructed end to end — every prompt, tool call, retrieval and verdict in one timeline.
Learn moreProof an auditor accepts, produced continuously.
Hash-linked entries, Ed25519-signed exports.
Learn moreA scoped read-only role for external auditors.
Learn moreCollected artifacts, ready to hand over.
Learn moreOn-demand campaigns across five attack families, plus scheduled weekly adversarial probes.
Learn moreOWASP LLM Top 10, NIST AI RMF, MITRE ATLAS, ISO/IEC 42001, EU AI Act, GDPR and SEC disclosure.
Learn moreAI readiness assessment and an SEC incident materiality decision tree.
Learn moreDSR intake and handling, and ROPA records.
Learn moreExportable PDF reports for boards, auditors and regulators.
Learn moreA violation opens an incident with severity, owner, timeline and resolution notes, so a blocked prompt becomes a tracked case rather than an alert nobody owns.
Learn moreRecommended fixes can be applied from the finding itself, or pushed to Jira or ServiceNow so remediation lives in the queue your teams already work.
Learn more