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Listed in the NIST OLIR Catalog against NIST CSF 2.0, NIST AI RMF 1.0, and NIST SP 800-53 Rev 5, and mapped to the OWASP GenAI LLM Top 10 for 2026 (6 covered directly at runtime, 4 complemented). Assessed Awardable on the U.S. Department of War Tradewinds Solutions Marketplace.","publisher":{"name":"Oracles Technologies LLC","url":"https://oraclestechnologies.com"},"homepage":"https://portal.oraclestechnologies.com/docs","repository":null,"version":"2.7.0","license":null,"protocols":["a2a"],"tags":["safety","pre-flight","prompt-scanning","threat-detection","agentic-security","llm-protection","real-time","post-flight","output-scanning","response-filtering","jailbreak-detection","phi-protection","tool-call-validation","pre-execution","shell-injection","exfiltration-detection","llm-agent","indirect-injection","rag-protection","tool-output-scanning","context-poisoning","execution-plan","agent-swarm","dag-validation","scope-enforcement","purpose-control","scopeguard","narrow-bot","redirect","in-purpose","fulfillment"],"pricing":null,"endpoints":[{"url":"https://oraclestechnologies.com/guardian","type":"a2a","auth":"none","probeable":true}],"skills":[{"id":"analyze-input","name":"Pre-flight Input Analysis","tags":["safety","pre-flight","prompt-scanning","threat-detection","agentic-security","llm-protection","real-time"],"description":"Scan an incoming prompt or agentic input before it reaches the model. Runs multiple sequential detection layers: regex pattern matching with obfuscation normalization, ONNX MiniLM-L6-v2 semantic analysis, behavioral session heuristics, ML gradient-boosted inference, and visual/cross-modal analysis for image inputs. Returns ALLOW, CHALLENGE, or BLOCK with threat level, threat types, confidence, and reasoning. Covers 170+ threat categories on the API tier."},{"id":"analyze-response","name":"Post-flight Response Analysis","tags":["safety","post-flight","output-scanning","response-filtering","jailbreak-detection","phi-protection","agentic-security"],"description":"Scan an LLM response before it reaches the user or downstream agents. Detects jailbreak compliance, constraint removal acknowledgments, system prompt revelation, role abandonment, credential/PHI leakage, and other signals that indicate the model was successfully manipulated. Returns suppressed (bool) and a safe replacement response when suppression is triggered. AdversarialLearner simultaneously updates the threat database for improved pre-flight detection."},{"id":"scan-tool-call","name":"Agentic Tool Call Validation","tags":["agentic-security","tool-call-validation","pre-execution","shell-injection","exfiltration-detection","llm-agent"],"description":"Validate a tool call and its arguments before the agent executes it. Detects shell injection, path traversal, data exfiltration infrastructure, destructive operations (rm -rf, DROP TABLE), credential theft attempts, package installs from untrusted sources, and malicious flag combinations. Returns is_dangerous (bool), risk_score, and threat_categories. The same gate scales to compiled/parallel execution plans (DAGs): the AgenticExecutionMonitor decomposes a plan, validates each node, and flags d…"},{"id":"scan-tool-output","name":"Tool Output Injection Scan","tags":["agentic-security","indirect-injection","rag-protection","tool-output-scanning","context-poisoning","llm-agent"],"description":"Scan a tool return value before it re-enters the agent's context window. Detects indirect prompt injection payloads embedded in web pages, documents, API responses, database records, and any external content the agent retrieves. Returns is_injection (bool), injection_score, and matched patterns."},{"id":"scan-execution-plan","name":"Agentic Execution Plan Validation","tags":["agentic-security","execution-plan","pre-execution","agent-swarm","dag-validation","llm-agent"],"description":"Validate a compiled/parallel agent execution plan (DAG) before the runtime dispatches it. Decomposes the plan, validates each node through the tool-call gate, and flags dangerous calls hidden in 'atomic'/parallel no-inspect batches, guard-disable steps ordered before payloads, hidden nodes absent from the approval summary, dependency cycles, and agent-swarm fan-out escalation across a session. Returns ALLOW/CHALLENGE/BLOCK with risk_score, node_count, dangerous_node_ids, and signals."},{"id":"scopeguard-check","name":"Scope Enforcement: In-Purpose Check (ScopeGuard)","tags":["scope-enforcement","purpose-control","scopeguard","narrow-bot","redirect","in-purpose"],"description":"ScopeGuard (a separate, paid-only product on the Ethicore Engine platform): decide whether a user turn is in-purpose for a narrow bot, given the deployer's declared scope (allow_domains + deny_task_types). Returns IN_SCOPE, BORDERLINE, or OUT_OF_SCOPE with a graceful redirect_message on out-of-scope - a redirect, not a security block. Fuses four FP-first signals: a general-purpose-task anchor, semantic scope distance, multi-turn drift, and output-side fulfillment. Configure a scope policy once …"},{"id":"scopeguard-check-output","name":"Scope Enforcement: Output Fulfillment Check (ScopeGuard)","tags":["scope-enforcement","scopeguard","post-flight","output-scanning","fulfillment"],"description":"ScopeGuard post-flight signal: inspect the bot's generated RESPONSE for proof it produced off-scope content (a fenced code block, a worked math solution, a poem, a translation). High-precision fulfillment detection that catches what the input-side check missed. 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