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Product

The AI security platform built for agents, not just prompts.

Test, map, and prove the security posture of LLM apps and autonomous agent workflows.

Vendor-Neutral

Test any provider, any model, any endpoint. 140+ provider presets including OpenAI, Anthropic, DeepSeek, Mistral, Google, and local Ollama deployments. No ecosystem lock-in.

Agent-First

Built for AI agents, not chatbots. Privilege escalation simulators, tool chain risk graphs, MCP audit logging, multi-agent probes, and memory poisoning detection.

Auditor-Grade

Every finding mapped to 8 compliance frameworks with CVSS 4.0 scoring, CIA impact assessment, blast radius classification, and evidence trail with raw I/O.

100+ probes. One API call.

Agent Security Scanning

Run 100+ agentic security probes against any LLM endpoint. Detect prompt injection, tool misuse, and data leakage — each probe targets a real-world failure mode.

  • Prompt injection detection across system prompts and tool inputs
  • Tool misuse chains that cross intended capability boundaries
  • Data leakage through side channels and memory reads
  • Regression reruns that test only previously failed probes
POST /v1/scans | async worker queue

Agent Security Scanning

Run 100+ agentic security probes against any LLM endpoint. Detect prompt injection, tool misuse, and data leakage — each probe targets a real-world failure mode.

Prompt injection detection...Tool misuse chains...Data leakage through...
Graph-based privilege escalation analysis.

Adversarial Simulator

Compose tool-call sequences and see exactly where your policy enforcement breaks. The risk graph scores each transition for escalation potential before an attacker finds it.

  • Models tool-to-tool transition risk (e.g. browser.fetch to filesystem.write)
  • Scores chains by overall risk: low > medium > high > critical
  • Attack path visualization with remediation hints per edge
  • Pre-built scenario presets: data exfiltration, privilege escalation, prompt injection
ToolRiskGraph engine | cross-tool transition scoring

Adversarial Simulator

Compose tool-call sequences and see exactly where your policy enforcement breaks. The risk graph scores each transition for escalation potential before an attacker finds it.

Models tool-to-tool transition...Scores chains by...Attack path visualization...
From scan findings to auditor-ready evidence.

Compliance Mapping

Every finding automatically maps to SOC 2, HIPAA, ISO 27001, and more. Export evidence packages that tie probe results directly to control requirements.

  • Auto-map findings to multiple frameworks simultaneously
  • Framework-specific evidence packages for audits
  • Track remediation status per control requirement
  • Historical compliance posture trends over time
ComplianceMapper engine | multi-framework support

Compliance Mapping

Every finding automatically maps to SOC 2, HIPAA, ISO 27001, and more. Export evidence packages that tie probe results directly to control requirements.

Auto-map findings to...Framework-specific evidence packages...Track remediation status...
Same probes. Different models. Compare results.

Provider Differential Testing

Run identical probe sets across LLM providers and see which models resist which attacks. Make informed decisions about model selection based on security posture, not just benchmarks.

  • Side-by-side comparison of provider security postures
  • Identify model-specific vulnerabilities across providers
  • Track provider security regressions over time
  • Export comparison reports for procurement decisions
ProviderDiffTesting | cross-provider probe normalization | report export

Provider Differential Testing

Run identical probe sets across LLM providers and see which models resist which attacks. Make informed decisions about model selection based on security posture, not just benchmarks.

Side-by-side comparison of...Identify model-specific vulnerabilities...Track provider security...
Verify your policies hold under attack.

Guardrail Enforcement Testing

Before deploying guardrails into production, test them against actual attack patterns. Orithos validates that your policy enforcement boundaries block the right sequences and allow legitimate traffic.

  • Test guardrail rules against real attack patterns
  • Identify enforcement gaps before they're exploited
  • Validate policy updates with regression probe runs
  • Integration with existing policy-as-code workflows
Guardrail policy engine | rule evaluation | regression testing

Guardrail Enforcement Testing

Before deploying guardrails into production, test them against actual attack patterns. Orithos validates that your policy enforcement boundaries block the right sequences and allow legitimate traffic.

Test guardrail rules...Identify enforcement gaps...Validate policy updates...
Fix. Rerun. Confirm. Ship.

Remediation Reruns

When a probe finds a vulnerability, fix it and rerun only the failed probes - not the entire suite. Regression testing for your AI security posture, without the wait.

  • Rerun only failed probes from previous scans
  • Track remediation status per finding
  • Audit trail of before/after states for compliance
  • Integrates into CI/CD for automated security gates
Scoped rerun engine | audit event logging | CI/CD integration

Remediation Reruns

When a probe finds a vulnerability, fix it and rerun only the failed probes - not the entire suite. Regression testing for your AI security posture, without the wait.

Rerun only failed...Track remediation status...Audit trail of...

Ready to probe your AI attack surface?

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