PALO FRAMEWORKNo elimination or certification claim
PALO does not eliminate any OWASP risk and does not certify OWASP compliance.
Documentation reference | source-backed crosswalk | reviewed 13 August 2026
OWASP GenAI / LLM Top 10 2026 x PALO
PALO is a governance and assurance system; OWASP is a security risk catalog. The relationship is complementary, not equivalent. This page is a documentation reference - not a new PALO module or activation route.
Overall verdictStrong governance fit. Incomplete technical resolution.
Overall conclusion
PALO routes the work. It does not erase the risk.
The crosswalk is strongest where security requires ownership, bounded decisions, evidence and review. Mechanism-specific safeguards - retrieval authorization, model and data integrity, rate controls, output encoding and production identity - remain separate engineering obligations.
Lifecycle assurance
The framework supplies ownership, decision gates, control records, evidence and residual-risk review.
Delegated authority
PALO-AM addresses identity, authority and blast radius when an LLM becomes an actor.
Selected action-path enforcement
PALO-AI can enforce exact claims, policy, approval, capability and outcome evidence, but remains a non-production Developer Preview.
Evidence boundary: a verified effect proves authoritative post-state against an Effect Contract. It does not prove factual truth or causal correctness.
One framework | three connected routes
Coverage deepens as the system gains authority.
Read each route as a distinct governance layer. A "Direct" rating in one layer does not replace an OWASP-specific safeguard in another.
PALO Framework
6Direct4Supporting0Gap
Lifecycle governance, accountable owners, control selection, evidence, monitoring and review.
See the framework routePALO-AM
5Direct5Supporting0Gap
Agent identity, delegated authority, autonomy, tool boundaries, meaningful human oversight and circuit breakers.
Open PALO-AMPALO-AI Developer Preview
4Direct4Supporting2Gap
Exact claims, policy, approval, one-time capability, trusted receipt and outcome verification. Production security gaps remain.
Review the evidence boundaryCoverage matrix
Ten risks. Three governance lenses.
Ratings describe design fit - not implementation effectiveness, compliance or certification.
A first-class PALO artifact or control materially addresses the risk.
PALO contributes governance or containment; OWASP-specific safeguards are still required.
No specific current PALO-AI coverage for the main mechanism.
Show
Showing all 10 risks.
| OWASP risk | PALO Framework | PALO-AM | PALO-AI |
|---|---|---|---|
| LLM01 Prompt Injection | |||
| LLM02 Sensitive Information Disclosure | |||
| LLM03 Excessive Agency | |||
| LLM04 Supply Chain | |||
| LLM05 Data and Model Poisoning | |||
| LLM06 Unbounded Consumption | |||
| LLM07 Misinformation | |||
| LLM08 Hidden Context Exposure | |||
| LLM09 Vector and Embedding Weaknesses | |||
| LLM10 Improper Output Handling |
Interpretation: "Direct" means a relevant route exists in PALO. It never means that the risk is prevented, resolved in every deployment or safe without the listed technical safeguards.
Can PALO solve it?
A precise answer, risk by risk.
Each dossier separates PALO's governance contribution from the safeguards that must exist in the model, data, retrieval, infrastructure or application layer.
LLM01 Prompt InjectionContain - do not promise prevention
PALO contribution
Treat model output as untrusted; apply least privilege, deterministic mediation, meaningful approval and adaptive testing around consequential actions.
External safeguards required
Multimodal filters, Unicode normalization, content provenance and red teaming that reflects the defenses actually disclosed and deployed.
Minimum evidence
Threat model, injection test suite, policy decision logs, approval records and failed-path evidence showing that privileged execution cannot bypass mediation.
LLM02 Sensitive Information DisclosureGovern exposure; engineer isolation
PALO contribution
Set data-minimization and provenance requirements, establish accountable ownership, and connect detection to incident and residual-risk review.
External safeguards required
Retrieval-time chunk ACLs, tenant isolation, DLP, log and trace redaction, and protection of vector stores and credentials.
Minimum evidence
Data-flow map, access-control tests, redaction samples, tenant-boundary tests, incident route and approved retention decisions.
LLM03 Excessive AgencyStrongest PALO fit
PALO contribution
Define the authority profile, minimum tools and permissions, user context, meaningful approval, one-time capability and evidence of both execution and outcome.
External safeguards required
Production identity, tenant-aware RBAC and execution architecture in which the governed path is unavoidable remain prerequisites.
Minimum evidence
Agent registry, authority profile, tool inventory, policy tests, immutable approval, capability record, trusted receipt and authoritative post-state verification.
LLM04 Supply ChainGate suppliers and change
PALO contribution
Route supplier due diligence, ownership, acceptance criteria and material component changes through evidence-backed review gates.
External safeguards required
AIBOM or ML-BOM, pinned artifacts, signatures and transparency, vulnerability management, patching, and connector attestation.
Minimum evidence
Supplier assessment, component inventory, artifact digest, verification result, vulnerability status, connector attestation and approved change record.
LLM05 Data and Model PoisoningGovern integrity; technical gap in PALO-AI
PALO contribution
Maintain lineage, change control, adversarial test expectations, accountable release decisions and rollback governance.
External safeguards required
Pipeline integrity, poisoning and backdoor detection, signed artifacts, sandboxing and monitored feedback loops.
Minimum evidence
Dataset and model lineage, artifact signatures, adversarial results, pipeline attestations, monitored feedback records and tested rollback decision.
LLM06 Unbounded ConsumptionBound action; add production abuse controls
PALO contribution
PALO-AM circuit breakers and a bounded action space constrain delegated behavior and supply escalation and stop conditions.
External safeguards required
PALO-AI lacks production rate limiting and abuse controls. Add token, action, time and cost caps, queue limits, loop detection, graceful degradation and infrastructure hardening.
Minimum evidence
Limit configuration, exhaustion and loop tests, cost alerts, circuit-breaker events, degradation test and capacity or resilience review.
LLM07 MisinformationVerify decisions and effects - not truth by default
PALO contribution
Require source-backed decisions, claim-check-act separation, human review and authoritative post-state verification for consequential actions.
External safeguards required
Grounding and verified effect do not prove factual truth. Add domain evaluation, omission checks and evidence-freshness controls.
Minimum evidence
Claim-to-source trace, domain evaluation set, omission tests, reviewer decision, freshness threshold and effect-verification record.
LLM08 Hidden Context ExposureExternalize authority from prompts
PALO contribution
PALO-AM and PALO-AI move critical authorization out of the prompt and into explicit authority, policy and protected execution contracts.
External safeguards required
Remove secrets from hidden context, externalize credentials and configuration, and test systematic extraction across supported modalities.
Minimum evidence
Prompt and context inventory, secret-scanning result, credential-flow diagram, extraction tests and proof of external policy enforcement.
LLM09 Vector and Embedding WeaknessesCurrent targeted gap
PALO contribution
PALO can assign ownership, classify data, require controls, record evidence and decide residual risk, but does not currently implement the main retrieval mechanism.
External safeguards required
Pre-retrieval chunk authorization, trust-zone-separated indexes, embedding provenance, deletion reconciliation, anomaly detection and immutable retrieval logs.
Minimum evidence
Index topology, chunk-ACL test, provenance record, deletion-reconciliation result, anomaly rule and tamper-evident retrieval trace.
LLM10 Improper Output HandlingCurrent targeted extension
PALO contribution
PALO validates governance claims and can mediate consequential actions, but does not validate or sanitize every downstream content sink.
External safeguards required
Context-specific encoding, prepared queries, CSP, terminal-control sanitization, outbound fetch restrictions and generated-code security tests.
Minimum evidence
Sink inventory, encoding and injection tests, CSP policy, query binding evidence, egress controls and generated-code security results.
Governance operating model
Make the crosswalk a living review object.
OWASP supplies risk context. PALO supplies the accountable loop that keeps applicability, controls, tests, evidence and decisions reviewable as the system changes.
- Classification
- Informative security source - not law, standard or certification.
- Accountable owner
- Product Security or AI Governance owns the crosswalk process; system-level risk owners remain accountable for treatment decisions.
- Review cadence
- Every 90 days, and immediately after an OWASP revision, architecture/tool/memory/data-scope change, material incident or failed critical test.
- Required per-risk record
- Applicability, owner, implemented control, test, evidence link, residual risk, decision and reopen trigger.
- Source discipline
- Preserve version, date, hash, attribution and source status. Treat mappings as source-backed context, never canonical equivalence.
Model as component
Apply this LLM Top 10
Use the present crosswalk for applications in which the model is a component within a bounded product or workflow.
Tools | persistent memory | multi-step or autonomous action
Pair with the OWASP Agentic Top 10
Apply the PALO-AM and PALO-AI route when delegated authority, tool execution, persistence or autonomous action expands the control surface.
Seven-step operating loop
A source becomes useful when it changes a decision.
- 01RegisterPin the source and hash.
- 02ScopeDecide applicability.
- 03AssignName the risk owner.
- 04ControlRecord treatment.
- 05TestExercise the mechanism.
- 06DecideAccept residual risk.
- 07ReopenAct on change or failure.
What was integrated
Four artifacts. One explicit source boundary.
The integration preserves the report as external security context. Nothing is silently promoted into a canonical PALO equivalence.
- 01 / Source
Version-pinned local PDF
The reviewed OWASP GenAI / LLM Top 10 2026 v1.0 artifact.
Open PDF - 02 / Registry
Source registry entry
Publisher, official URL, check date, freshness, authority and use boundary.
- 03 / Data
Versioned crosswalk JSON
Machine-readable ratings and risk-level rationale, with the PDF hash pinned for downstream review.
Open JSON - 04 / Analysis
This web dossier
A board-readable comparison of fit, safeguards, evidence and governance cadence.
Review matrix
No silent promotion: source terms remain attributed to OWASP; PALO mappings remain interpretive governance context and must be revalidated as either source changes.
Limitations and attribution
Use the mapping. Preserve the boundary.
- PALO support does not imply OWASP endorsement.
- The OWASP source is licensed under CC BY-SA 4.0. This page's source-derived category names, summaries and crosswalk are also published under CC BY-SA 4.0; consult the source for the complete risk descriptions and guidance.
- OWASP did not review or endorse the PALO analysis.
- The report covers LLM applications. Agentic deployments require the paired Agentic list and the PALO-AM/PALO-AI route.
PDF SHA-256ef87993a4e50ae9d83b41ff7a3d3e6320a82dfa8d4ec6bf98d0ce264b2e6108e