SkyDaemon sits at the prompt and tool-call boundary of every agent in your fleet. We detect 72 AI-specific threats across 12 risk domains, enforce policy in real time, and generate the audit evidence your auditors and regulators ask for — SOC 2, ISO/IEC 42001, NIST AI RMF, EU AI Act Annex IV, HIPAA, PCI, GDPR.
Six capabilities that no single competitor in the cohort ships in one platform today.
Prompt injection, jailbreak, indirect injection, secrets, PII, agent excessive-agency, confused-deputy, denial-of-wallet, sleeper-agents, sycophancy, eval-gaming, supply-chain, kill-chains. Mapped to OWASP, MITRE ATLAS, NIST AI RMF, EU AI Act.
Custom DSL, 30+ starter templates, three modes (enforce / shadow / log), staged rollout, dry-run simulation. Halt at the proxy, redact in-line, route to a human approver.
Article 11 technical-documentation bundle, sections A–H auto-populated from your inventory, findings, red-team results. Signed manifest. Drops directly into your conformity-assessment file.
CycloneDX 1.6 + ML-BOM + SPDX 3.0 export per agent. Models, fine-tunes, datasets, RAG corpora, MCP tools, vector stores, libraries — all with SHA-256 + signed-by attestations.
OWASP LLM Top 10 + MITRE ATLAS coverage. Imports PyRIT, Garak, Promptfoo, Inspect AI, HELM, AI Verify. SkyDaemon's first-party Algorithmic Red Team uses Claude-as-attacker on your specific system prompt.
OCSF v1.3 native. Splunk HEC, Datadog, CEF, Sentinel, Falcon, Cortex XSIAM, AWS Security Hub. PagerDuty, Jira, Slack interactive approvals. Drata / Vanta / Secureframe evidence push.
SkyDaemon's 72-category threat catalog covers the entire OWASP LLM Top 10 (2025) and OWASP ASI (2026) surface, plus the full MITRE ATLAS adversarial-ML matrix. Six categories are uncontested ground:
// SkyDaemon emits OCSF v1.3 Detection Findings natively { "finding_type": "prompt.indirect_injection", "severity": "critical", "detection_score": 0.94, "agent_id": "agt_finance_advisor", "prompt_sample_sha256": "7f3a...", "owasp_llm": ["LLM01"], "mitre_atlas": ["AML.T0051.001"], "cwe": ["CWE-1426", "CWE-94"], "compliance": { "soc2": ["CC7.2"], "eu_ai_act": ["Art.15"], "nist_ai_rmf": ["MEASURE-2.7"] }, "provenance": { "source": "rag_retrieval", "document": "acme-corp-handbook.pdf" } }
SkyDaemon ships 25+ language SDKs, native bindings into 31 agent frameworks, auto-instrumentation for 52 LLM providers, and on-write scanning of 39 vector stores.
Findings flow into 16 SIEMs, 10 SOAR platforms, 14 LLM observability tools, 5 ITSM systems, and 8 chat tools — all emitting OCSF v1.3 by default.
# Drop-in for any LLM client import skydaemon ; skydaemon.instrument() from openai import OpenAI client = OpenAI() # Auto-instrumented; every call emits a finding # if the prompt or response trips a detector. resp = client.chat.completions.create( model="gpt-5", messages=[{"role": "user", "content": prompt}] ) # SkyDaemon saw the prompt + response, ran 72 detectors, # mapped any hit to OWASP/MITRE/NIST/EU AI Act, # and pushed an OCSF event to your SIEM.
Every finding ships with full mapping to 11 compliance frameworks. The Annex IV generator produces a single signed ZIP that drops directly into your EU AI Act conformity-assessment file. Auditors stop asking, "Show me the evidence." It's already in their hands.
"Wired SkyDaemon into our LangChain stack in 30 minutes. Pulled 12 critical findings on day one — three indirect injections in our RAG corpus we didn't know about."
"The Annex IV bundle alone saved us six weeks of manual evidence collection. Our auditor accepted SkyDaemon's signed manifest as primary evidence."
"OCSF v1.3 dropped straight into Splunk ES. We get AI findings in the same notable-event view as our EDR alerts. No transformer code."