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Crosswalks to other frameworks

Page Summary

This page maps the ARC risk register to the external frameworks organisations are most likely to be using alongside it, so that an assessment done under one can be read in the vocabulary of another. Each mapping points to the nearest corresponding entries; it is not a claim of equivalence.

The crosswalks are maintained as a crosswalks field on every risk and control in the register YAML, validated against crosswalk_references.yaml, and shown on each entry in the Interactive Risk Register. This page is generated from the same data.

Framework Version Maps to
OWASP Top 10 for Agentic Applications 2026 2026 (December 2025) ARC risks and controls
OWASP Agentic AI – Threats and Mitigations (threat taxonomy, as reproduced in CSA Addendum Annex A) T1–T15 per CSA Addendum Annex A; T16–T17 per OWASP Top 10 Appendix A ARC risks
CSA Singapore – Securing Agentic AI, an Addendum to the Guidelines and Companion Guide on Securing AI Systems 1.0 (17 June 2026) ARC controls
IMDA – Model AI Governance Framework for Agentic AI 1.5 (May 2026) ARC controls
Why are some cells empty?

ARC covers both safety and security hazards. Its content-safety risks (undesirable, unqualified, controversial, or copyrighted content) have no counterpart in OWASP's security-focused agentic taxonomy, and are deliberately left unmapped rather than forced. CSA Addendum control 1.1 (conduct a risk assessment) is the assessment process that the ARC methodology itself implements, so no single ARC control corresponds to it.

OWASP Top 10 for Agentic Applications 2026 → ARC risks

OWASP ASI ARC risks
ASI01 Agent Goal Hijack RISK-008 Vague or underspecified instructions
RISK-009 Unsanitised inputs in system instructions
RISK-019 Generating plans that fail to meet the user's requirements
RISK-020 Generating plans that overlook safety implications
RISK-032 Unauthorised execution of business transactions
RISK-034 Prompt injection via malicious websites
RISK-036 Prompt injection risks through computer use
RISK-044 Prompt injection via malicious files or data
ASI02 Tool Misuse and Exploitation RISK-004 Weak tool authentication and authorisation controls
RISK-006 Tool poisoning by malicious actors
RISK-007 Lack of input sanitisation
RISK-023 Incorrect tool selection or misuse
RISK-032 Unauthorised execution of business transactions
RISK-037 Exposure of sensitive data
RISK-038 Incorrect use of unfamiliar programmatic interfaces
RISK-041 Unintended overwriting or deletion of files or data
RISK-042 Database overload due to inefficient data operations
RISK-043 Exposure of sensitive data through file or database access
RISK-045 Misconfiguration of system resources
RISK-046 System overload due to inefficient or excessive operations
ASI03 Identity and Privilege Abuse RISK-004 Weak tool authentication and authorisation controls
RISK-005 Lack of proper role-based access control for tools
RISK-011 Sensitive data leakage across memory contexts
RISK-015 Overly permissive roles and permissions
RISK-016 Unauthorised privilege escalation
RISK-021 Incorrect task delegation between agents
RISK-022 Malicious or manipulative use of delegated agents
RISK-033 Leakage of transaction credentials
RISK-043 Exposure of sensitive data through file or database access
ASI04 Agentic Supply Chain Vulnerabilities RISK-001 Use of untrusted or compromised LLMs
RISK-006 Tool poisoning by malicious actors
ASI05 Unexpected Code Execution (RCE) RISK-007 Lack of input sanitisation
RISK-039 Production or execution of poor or ineffective code
RISK-040 Production or execution of vulnerable or malicious code
ASI06 Memory and Context Poisoning RISK-010 Poisoned memory
RISK-011 Sensitive data leakage across memory contexts
RISK-027 Regurgitating personally identifiable information
RISK-035 Unreliable information or websites
RISK-044 Prompt injection via malicious files or data
ASI07 Insecure Inter-Agent Communication RISK-013 Man-in-the-middle attacks between agents
ASI08 Cascading Failures RISK-003 Insufficient LLM capability and reliability
RISK-012 Cascading errors in multi-agent architectures
RISK-014 Feedback loops and runaway agent behaviour
RISK-017 Delayed failure detection due to limited monitoring
RISK-018 Inability to audit failures due to missing decision traces
RISK-021 Incorrect task delegation between agents
RISK-028 Generation of non-factual or hallucinated content
RISK-045 Misconfiguration of system resources
ASI09 Human-Agent Trust Exploitation RISK-030 Misrepresentation of authorship
RISK-031 Inaccurate promises or statements in official communications
ASI10 Rogue Agents RISK-002 Insufficient alignment of LLM behaviour
RISK-014 Feedback loops and runaway agent behaviour
RISK-018 Inability to audit failures due to missing decision traces
RISK-020 Generating plans that overlook safety implications
RISK-022 Malicious or manipulative use of delegated agents

OWASP Agentic AI – Threats and Mitigations (threat taxonomy, as reproduced in CSA Addendum Annex A) → ARC risks

OWASP threat ARC risks
T1 Memory poisoning RISK-010 Poisoned memory
RISK-011 Sensitive data leakage across memory contexts
RISK-027 Regurgitating personally identifiable information
RISK-044 Prompt injection via malicious files or data
T2 Tool misuse RISK-004 Weak tool authentication and authorisation controls
RISK-006 Tool poisoning by malicious actors
RISK-007 Lack of input sanitisation
RISK-023 Incorrect tool selection or misuse
RISK-032 Unauthorised execution of business transactions
RISK-037 Exposure of sensitive data
RISK-038 Incorrect use of unfamiliar programmatic interfaces
RISK-041 Unintended overwriting or deletion of files or data
RISK-043 Exposure of sensitive data through file or database access
RISK-045 Misconfiguration of system resources
T3 Privilege compromise RISK-004 Weak tool authentication and authorisation controls
RISK-005 Lack of proper role-based access control for tools
RISK-011 Sensitive data leakage across memory contexts
RISK-015 Overly permissive roles and permissions
RISK-016 Unauthorised privilege escalation
RISK-021 Incorrect task delegation between agents
RISK-033 Leakage of transaction credentials
RISK-043 Exposure of sensitive data through file or database access
T4 Resource overload RISK-014 Feedback loops and runaway agent behaviour
RISK-042 Database overload due to inefficient data operations
RISK-046 System overload due to inefficient or excessive operations
T5 Cascading hallucination attacks RISK-003 Insufficient LLM capability and reliability
RISK-012 Cascading errors in multi-agent architectures
RISK-014 Feedback loops and runaway agent behaviour
RISK-028 Generation of non-factual or hallucinated content
RISK-035 Unreliable information or websites
T6 Intent breaking and goal manipulation RISK-008 Vague or underspecified instructions
RISK-009 Unsanitised inputs in system instructions
RISK-019 Generating plans that fail to meet the user's requirements
RISK-032 Unauthorised execution of business transactions
RISK-034 Prompt injection via malicious websites
RISK-036 Prompt injection risks through computer use
RISK-044 Prompt injection via malicious files or data
T7 Misaligned and deceptive behaviours RISK-002 Insufficient alignment of LLM behaviour
RISK-020 Generating plans that overlook safety implications
T8 Repudiation and untraceability RISK-017 Delayed failure detection due to limited monitoring
RISK-018 Inability to audit failures due to missing decision traces
T9 Identity spoofing and impersonation RISK-013 Man-in-the-middle attacks between agents
T10 Overwhelming human in the loop
T11 Unexpected RCE and code attacks RISK-007 Lack of input sanitisation
RISK-039 Production or execution of poor or ineffective code
RISK-040 Production or execution of vulnerable or malicious code
T12 Agent communication poisoning RISK-013 Man-in-the-middle attacks between agents
T13 Rogue agents in multi-agent systems RISK-022 Malicious or manipulative use of delegated agents
T14 Human attacks on multi-agent systems RISK-022 Malicious or manipulative use of delegated agents
T15 Human manipulation RISK-030 Misrepresentation of authorship
RISK-031 Inaccurate promises or statements in official communications
T16 Insecure inter-agent protocol abuse
T17 Supply chain compromise RISK-001 Use of untrusted or compromised LLMs
RISK-006 Tool poisoning by malicious actors

CSA Singapore – Securing Agentic AI, an Addendum to the Guidelines and Companion Guide on Securing AI Systems → ARC controls

CSA Addendum ARC controls
1.1 Conduct a risk assessment in accordance with relevant standards and best practices
2.1 Supply chain security – ensure components are from trusted sources CTRL-0001 Use only LLMs from verified and trusted model developers
CTRL-0002 Obtain legally binding no-training and no-logging agreements from LLM API service providers
CTRL-0003 Use only established and verified model loaders in production environments
CTRL-0004 Review the LLM's system card to inform risk assessment and model selection
CTRL-0009 Use only MCP servers that implement robust authentication mechanisms in production environments
CTRL-0014 Use only MCP servers from verified and trusted developers
CTRL-0018 Define default behaviour when the agent encounters ambiguous situations
CTRL-0035 Require agents to decompose user goals into explicit sub-goals and validate necessity before proceeding
CTRL-0037 Require planning agents to include explicit safety constraints in all generated plans before execution
CTRL-0061 Use structured retrieval APIs for web searches rather than web scraping
CTRL-0063 Prioritise search results from verified, high-quality domains
CTRL-0083 Disallow unknown or external files unless they have been scanned for threats
2.2 Consider model hardening CTRL-0005 Conduct structured evaluation of multiple LLMs for instruction-following, performance, and safety before deployment
2.3 Harden the system beyond the model itself CTRL-0016 Define clearly the agent's role, scope, and non-goals in the system prompt
CTRL-0017 Define clear success criteria for the agent's tasks
2.4 Identify, track and protect AI system assets CTRL-0039 Ensure each agent publishes standardised, machine-readable capability descriptors accessible to other agents
CTRL-0041 Provide comprehensive descriptions for each tool including intended use, required inputs, and potential outputs
CTRL-0067 Ensure proper documentation of programmatic interfaces for agent use
2.5 Have regular backups in the event of compromise CTRL-0077 Enable versioning or soft-delete for managed object stores to allow recovery from accidental modifications
2.6 Implement authentication, authorisation and access controls CTRL-0010 Use only MCP servers that validate credentials on every inbound request
CTRL-0011 Limit token scopes to the minimum privileges required and avoid broad or wildcard scopes
CTRL-0021 Implement allowlists and denylists to restrict what categories of information can be written to agent memory
CTRL-0025 Ensure all inter-agent communications are encrypted in transit and prohibit plaintext channels
CTRL-0026 Require all agents to authenticate with verifiable, cryptographically signed identities before processing requests
CTRL-0030 Assign each agent a unique, verifiable identity with no shared credentials
CTRL-0031 Use only MCP servers that validate token provenance and prohibit unauthorised token passthrough
2.7 Implement controls to limit what models or agents can access and generate CTRL-0021 Implement allowlists and denylists to restrict what categories of information can be written to agent memory
CTRL-0024 Define formal schemas for inter-agent messages and validate all messages against these schemas before processing
CTRL-0037 Require planning agents to include explicit safety constraints in all generated plans before execution
CTRL-0040 Limit the scope of agent actions through predefined thresholds and baselines
CTRL-0054 Limit agent communications to standard processes with predefined templates
CTRL-0064 Limit computer use to accessing only safe and trusted resources
CTRL-0073 Create a denylist of commands that agents are not permitted to execute
CTRL-0082 Do not grant agents access to personally identifiable or sensitive data unless strictly required
CTRL-0084 Set minimum and maximum limits on what agents can modify within system resources
2.8 Apply least privilege; secure-by-default configurations CTRL-0011 Limit token scopes to the minimum privileges required and avoid broad or wildcard scopes
CTRL-0029 Grant agents only the minimum permissions required for their designated tasks
CTRL-0069 Run agent-generated code only in isolated compute environments with network access blocked by default
CTRL-0075 Do not grant write access to agents unless strictly necessary
CTRL-0082 Do not grant agents access to personally identifiable or sensitive data unless strictly required
2.9 Segregate environments and segment networks CTRL-0013 Test all untested MCP servers in a sandboxed environment before deploying to production
CTRL-0020 Use a dedicated LLM to extract required fields from inputs and filter out extraneous text or embedded instructions
CTRL-0058 Restrict agents to proposing transactions whilst using a separate transaction controller for execution
CTRL-0069 Run agent-generated code only in isolated compute environments with network access blocked by default
2.10 Implement model self-reflection before decisions
2.11 Implement controls to reduce the likelihood of hallucination CTRL-0048 Implement methods to reduce hallucination rates in agent outputs
CTRL-0049 Implement UI/UX cues to communicate the risk of hallucination to users
CTRL-0050 Implement features enabling users to verify generated answers against source content
3.1 Ensure availability controls against disruption or failure CTRL-0040 Limit the scope of agent actions through predefined thresholds and baselines
CTRL-0072 Monitor runtime and memory consumption of agent-generated code
CTRL-0078 Enforce throttling or rate limits on agent-initiated database operations
CTRL-0079 Validate agent-generated database queries for efficiency before execution against production databases
CTRL-0080 Implement caching mechanisms to reduce repetitive database queries by agents
CTRL-0086 Limit the number of concurrent queries to external systems by agents
3.2 Conduct security testing CTRL-0005 Conduct structured evaluation of multiple LLMs for instruction-following, performance, and safety before deployment
CTRL-0017 Define clear success criteria for the agent's tasks
CTRL-0036 Regularly evaluate and test planning behaviour under representative workloads and failure scenarios
CTRL-0038 Conduct pre-deployment safety verification using domain-relevant stress tests and adversarial scenarios
3.3 Secure the invocation of external tools (e.g. MCP servers) CTRL-0009 Use only MCP servers that implement robust authentication mechanisms in production environments
CTRL-0012 Use only MCP servers that integrate with authorisation servers implementing per-client consent mechanisms
CTRL-0014 Use only MCP servers from verified and trusted developers
CTRL-0015 Treat all tool metadata and outputs as untrusted input requiring validation
CTRL-0031 Use only MCP servers that validate token provenance and prohibit unauthorised token passthrough
3.4 Implement security controls between agents CTRL-0024 Define formal schemas for inter-agent messages and validate all messages against these schemas before processing
CTRL-0025 Ensure all inter-agent communications are encrypted in transit and prohibit plaintext channels
CTRL-0026 Require all agents to authenticate with verifiable, cryptographically signed identities before processing requests
CTRL-0039 Ensure each agent publishes standardised, machine-readable capability descriptors accessible to other agents
4.1 Validate inputs to models and agents CTRL-0015 Treat all tool metadata and outputs as untrusted input requiring validation
CTRL-0019 Use delimiters to enclose untrusted inputs and instruct the LLM to treat delimited content as data only
CTRL-0020 Use a dedicated LLM to extract required fields from inputs and filter out extraneous text or embedded instructions
CTRL-0022 Implement content filtering on memory writes to detect and block known unsafe content patterns
CTRL-0045 Implement input guardrails to detect and decline requests for specialised domain advice
CTRL-0046 Implement input guardrails to detect and decline requests for controversial content that violates organisational policies
CTRL-0051 Implement input guardrails to detect and decline requests to generate copyrighted content
CTRL-0060 Implement escape filtering before incorporating web content into prompts
CTRL-0062 Implement input guardrails to detect prompt injection and adversarial attacks
CTRL-0081 Implement input guardrails to detect personally identifiable information in data accessed by agents
CTRL-0083 Disallow unknown or external files unless they have been scanned for threats
4.2 Validate outputs from models and agents CTRL-0044 Implement output safety guardrails to detect and prevent generation of undesirable content
CTRL-0047 Implement output guardrails to detect and redact personally identifiable information
CTRL-0059 Apply fraud detection models or heuristics to agent-proposed transactions
CTRL-0068 Use code linters to screen generated code for bad practices and poor syntax
CTRL-0070 Review all agent-generated code before execution
CTRL-0071 Use static code analysers to detect security vulnerabilities and code quality issues
CTRL-0074 Conduct CVE scanning and block execution of code with High or Critical vulnerabilities
4.3 Continuous monitoring and logging CTRL-0007 Log all LLM inputs and outputs for regular review
CTRL-0008 Implement automated alerts when agent behaviour drifts from predefined thresholds
CTRL-0023 Log all memory modifications with comprehensive source metadata for audit purposes
CTRL-0027 Implement circuit breakers to prevent cascading failures in multi-agent systems
CTRL-0028 Continuously monitor multi-agent systems for cascade failure indicators
CTRL-0032 Centralise observability data collection in a unified backend system
CTRL-0033 Standardise trace attributes for agent operations using consistent semantic conventions
CTRL-0034 Conduct regular reviews of logs and traces to detect emergent issues in deployed agentic systems
CTRL-0043 Log all tool selection decisions and invocations with comprehensive metadata
CTRL-0085 Log system health metrics and implement automated alerts for abnormal conditions
4.4 Ensure adequate human oversight CTRL-0006 Require human approval before executing high-impact actions
CTRL-0042 Require explicit human confirmation before executing high-impact or irreversible tool actions
CTRL-0053 Require human approval for communications on sensitive matters
CTRL-0056 Require explicit user confirmation before initiating or committing any business transaction
CTRL-0057 Require out-of-band confirmation when transaction risk signals are elevated
CTRL-0065 Ensure computer use capabilities provide immediate interruptability
CTRL-0070 Review all agent-generated code before execution
CTRL-0076 Require human approval for any destructive changes to databases, tables, or files
4.5 Establish a vulnerability disclosure process CTRL-0055 Provide alternative channels for users to clarify communications or provide feedback

IMDA – Model AI Governance Framework for Agentic AI → ARC controls

IMDA MGF ARC controls
2.1.1 Determine suitable use cases CTRL-0004 Review the LLM's system card to inform risk assessment and model selection
2.1.2 Bound risks through design (agent limits, agent identity) CTRL-0010 Use only MCP servers that validate credentials on every inbound request
CTRL-0011 Limit token scopes to the minimum privileges required and avoid broad or wildcard scopes
CTRL-0012 Use only MCP servers that integrate with authorisation servers implementing per-client consent mechanisms
CTRL-0016 Define clearly the agent's role, scope, and non-goals in the system prompt
CTRL-0017 Define clear success criteria for the agent's tasks
CTRL-0026 Require all agents to authenticate with verifiable, cryptographically signed identities before processing requests
CTRL-0029 Grant agents only the minimum permissions required for their designated tasks
CTRL-0030 Assign each agent a unique, verifiable identity with no shared credentials
CTRL-0031 Use only MCP servers that validate token provenance and prohibit unauthorised token passthrough
CTRL-0037 Require planning agents to include explicit safety constraints in all generated plans before execution
CTRL-0040 Limit the scope of agent actions through predefined thresholds and baselines
CTRL-0054 Limit agent communications to standard processes with predefined templates
CTRL-0058 Restrict agents to proposing transactions whilst using a separate transaction controller for execution
CTRL-0061 Use structured retrieval APIs for web searches rather than web scraping
CTRL-0064 Limit computer use to accessing only safe and trusted resources
CTRL-0069 Run agent-generated code only in isolated compute environments with network access blocked by default
CTRL-0073 Create a denylist of commands that agents are not permitted to execute
CTRL-0075 Do not grant write access to agents unless strictly necessary
CTRL-0077 Enable versioning or soft-delete for managed object stores to allow recovery from accidental modifications
CTRL-0078 Enforce throttling or rate limits on agent-initiated database operations
CTRL-0082 Do not grant agents access to personally identifiable or sensitive data unless strictly required
CTRL-0084 Set minimum and maximum limits on what agents can modify within system resources
CTRL-0086 Limit the number of concurrent queries to external systems by agents
2.2.1 Clear allocation of responsibilities CTRL-0002 Obtain legally binding no-training and no-logging agreements from LLM API service providers
2.2.2 Design for meaningful human oversight CTRL-0006 Require human approval before executing high-impact actions
CTRL-0042 Require explicit human confirmation before executing high-impact or irreversible tool actions
CTRL-0053 Require human approval for communications on sensitive matters
CTRL-0056 Require explicit user confirmation before initiating or committing any business transaction
CTRL-0057 Require out-of-band confirmation when transaction risk signals are elevated
CTRL-0070 Review all agent-generated code before execution
CTRL-0076 Require human approval for any destructive changes to databases, tables, or files
2.3.1 Technical controls during design and development CTRL-0001 Use only LLMs from verified and trusted model developers
CTRL-0009 Use only MCP servers that implement robust authentication mechanisms in production environments
CTRL-0014 Use only MCP servers from verified and trusted developers
CTRL-0015 Treat all tool metadata and outputs as untrusted input requiring validation
CTRL-0018 Define default behaviour when the agent encounters ambiguous situations
CTRL-0019 Use delimiters to enclose untrusted inputs and instruct the LLM to treat delimited content as data only
CTRL-0020 Use a dedicated LLM to extract required fields from inputs and filter out extraneous text or embedded instructions
CTRL-0021 Implement allowlists and denylists to restrict what categories of information can be written to agent memory
CTRL-0022 Implement content filtering on memory writes to detect and block known unsafe content patterns
CTRL-0024 Define formal schemas for inter-agent messages and validate all messages against these schemas before processing
CTRL-0025 Ensure all inter-agent communications are encrypted in transit and prohibit plaintext channels
CTRL-0035 Require agents to decompose user goals into explicit sub-goals and validate necessity before proceeding
CTRL-0039 Ensure each agent publishes standardised, machine-readable capability descriptors accessible to other agents
CTRL-0041 Provide comprehensive descriptions for each tool including intended use, required inputs, and potential outputs
CTRL-0044 Implement output safety guardrails to detect and prevent generation of undesirable content
CTRL-0045 Implement input guardrails to detect and decline requests for specialised domain advice
CTRL-0046 Implement input guardrails to detect and decline requests for controversial content that violates organisational policies
CTRL-0047 Implement output guardrails to detect and redact personally identifiable information
CTRL-0048 Implement methods to reduce hallucination rates in agent outputs
CTRL-0051 Implement input guardrails to detect and decline requests to generate copyrighted content
CTRL-0060 Implement escape filtering before incorporating web content into prompts
CTRL-0062 Implement input guardrails to detect prompt injection and adversarial attacks
CTRL-0063 Prioritise search results from verified, high-quality domains
CTRL-0066 Ensure "take over" mode is activated when entering sensitive data
CTRL-0067 Ensure proper documentation of programmatic interfaces for agent use
CTRL-0068 Use code linters to screen generated code for bad practices and poor syntax
CTRL-0071 Use static code analysers to detect security vulnerabilities and code quality issues
CTRL-0074 Conduct CVE scanning and block execution of code with High or Critical vulnerabilities
CTRL-0081 Implement input guardrails to detect personally identifiable information in data accessed by agents
CTRL-0083 Disallow unknown or external files unless they have been scanned for threats
2.3.2 Test agents before deploying CTRL-0005 Conduct structured evaluation of multiple LLMs for instruction-following, performance, and safety before deployment
CTRL-0013 Test all untested MCP servers in a sandboxed environment before deploying to production
CTRL-0036 Regularly evaluate and test planning behaviour under representative workloads and failure scenarios
CTRL-0038 Conduct pre-deployment safety verification using domain-relevant stress tests and adversarial scenarios
2.3.3 Continuously monitor and test when deploying CTRL-0007 Log all LLM inputs and outputs for regular review
CTRL-0008 Implement automated alerts when agent behaviour drifts from predefined thresholds
CTRL-0023 Log all memory modifications with comprehensive source metadata for audit purposes
CTRL-0027 Implement circuit breakers to prevent cascading failures in multi-agent systems
CTRL-0028 Continuously monitor multi-agent systems for cascade failure indicators
CTRL-0032 Centralise observability data collection in a unified backend system
CTRL-0033 Standardise trace attributes for agent operations using consistent semantic conventions
CTRL-0034 Conduct regular reviews of logs and traces to detect emergent issues in deployed agentic systems
CTRL-0043 Log all tool selection decisions and invocations with comprehensive metadata
CTRL-0059 Apply fraud detection models or heuristics to agent-proposed transactions
CTRL-0065 Ensure computer use capabilities provide immediate interruptability
CTRL-0072 Monitor runtime and memory consumption of agent-generated code
CTRL-0079 Validate agent-generated database queries for efficiency before execution against production databases
CTRL-0085 Log system health metrics and implement automated alerts for abnormal conditions
2.4.2 Users who interact with agents (transparency, disclosure, escalation) CTRL-0049 Implement UI/UX cues to communicate the risk of hallucination to users
CTRL-0050 Implement features enabling users to verify generated answers against source content
CTRL-0052 Declare upfront that communications are generated by an AI system
CTRL-0055 Provide alternative channels for users to clarify communications or provide feedback
2.4.3 Users who integrate agents

ARC risks → external frameworks

ARC risk OWASP ASI OWASP threats
RISK-001 Use of untrusted or compromised LLMs ASI04 T17
RISK-002 Insufficient alignment of LLM behaviour ASI10 T7
RISK-003 Insufficient LLM capability and reliability ASI08 T5
RISK-004 Weak tool authentication and authorisation controls ASI03, ASI02 T3, T2
RISK-005 Lack of proper role-based access control for tools ASI03 T3
RISK-006 Tool poisoning by malicious actors ASI04, ASI02 T17, T2
RISK-007 Lack of input sanitisation ASI02, ASI05 T2, T11
RISK-008 Vague or underspecified instructions ASI01 T6
RISK-009 Unsanitised inputs in system instructions ASI01 T6
RISK-010 Poisoned memory ASI06 T1
RISK-011 Sensitive data leakage across memory contexts ASI06, ASI03 T1, T3
RISK-012 Cascading errors in multi-agent architectures ASI08 T5
RISK-013 Man-in-the-middle attacks between agents ASI07 T12, T9
RISK-014 Feedback loops and runaway agent behaviour ASI08, ASI10 T5, T4
RISK-015 Overly permissive roles and permissions ASI03 T3
RISK-016 Unauthorised privilege escalation ASI03 T3
RISK-017 Delayed failure detection due to limited monitoring ASI08 T8
RISK-018 Inability to audit failures due to missing decision traces ASI08, ASI10 T8
RISK-019 Generating plans that fail to meet the user's requirements ASI01 T6
RISK-020 Generating plans that overlook safety implications ASI10, ASI01 T7
RISK-021 Incorrect task delegation between agents ASI03, ASI08 T3
RISK-022 Malicious or manipulative use of delegated agents ASI10, ASI03 T13, T14
RISK-023 Incorrect tool selection or misuse ASI02 T2
RISK-024 Generation of undesirable content
RISK-025 Generation of unqualified advice in specialised domains
RISK-026 Generation of controversial or sensitive content
RISK-027 Regurgitating personally identifiable information ASI06 T1
RISK-028 Generation of non-factual or hallucinated content ASI08 T5
RISK-029 Generation of copyrighted content
RISK-030 Misrepresentation of authorship ASI09 T15
RISK-031 Inaccurate promises or statements in official communications ASI09 T15
RISK-032 Unauthorised execution of business transactions ASI02, ASI01 T2, T6
RISK-033 Leakage of transaction credentials ASI03 T3
RISK-034 Prompt injection via malicious websites ASI01 T6
RISK-035 Unreliable information or websites ASI06 T5
RISK-036 Prompt injection risks through computer use ASI01 T6
RISK-037 Exposure of sensitive data ASI02 T2
RISK-038 Incorrect use of unfamiliar programmatic interfaces ASI02 T2
RISK-039 Production or execution of poor or ineffective code ASI05 T11
RISK-040 Production or execution of vulnerable or malicious code ASI05 T11
RISK-041 Unintended overwriting or deletion of files or data ASI02 T2
RISK-042 Database overload due to inefficient data operations ASI02 T4
RISK-043 Exposure of sensitive data through file or database access ASI02, ASI03 T2, T3
RISK-044 Prompt injection via malicious files or data ASI01, ASI06 T6, T1
RISK-045 Misconfiguration of system resources ASI02, ASI08 T2
RISK-046 System overload due to inefficient or excessive operations ASI02 T4

ARC controls → external frameworks

ARC control CSA Addendum IMDA MGF OWASP ASI
CTRL-0001 Use only LLMs from verified and trusted model developers 2.1 2.3.1 ASI04
CTRL-0002 Obtain legally binding no-training and no-logging agreements from LLM API service providers 2.1 2.2.1 ASI04
CTRL-0003 Use only established and verified model loaders in production environments 2.1 ASI04, ASI05
CTRL-0004 Review the LLM's system card to inform risk assessment and model selection 2.1 2.1.1 ASI10
CTRL-0005 Conduct structured evaluation of multiple LLMs for instruction-following, performance, and safety before deployment 2.2, 3.2 2.3.2 ASI10
CTRL-0006 Require human approval before executing high-impact actions 4.4 2.2.2 ASI01, ASI09
CTRL-0007 Log all LLM inputs and outputs for regular review 4.3 2.3.3 ASI08
CTRL-0008 Implement automated alerts when agent behaviour drifts from predefined thresholds 4.3 2.3.3 ASI10
CTRL-0009 Use only MCP servers that implement robust authentication mechanisms in production environments 2.1, 3.3 2.3.1 ASI03, ASI04
CTRL-0010 Use only MCP servers that validate credentials on every inbound request 2.6 2.1.2 ASI03
CTRL-0011 Limit token scopes to the minimum privileges required and avoid broad or wildcard scopes 2.6, 2.8 2.1.2 ASI03
CTRL-0012 Use only MCP servers that integrate with authorisation servers implementing per-client consent mechanisms 3.3 2.1.2 ASI03
CTRL-0013 Test all untested MCP servers in a sandboxed environment before deploying to production 2.9 2.3.2 ASI04
CTRL-0014 Use only MCP servers from verified and trusted developers 2.1, 3.3 2.3.1 ASI04
CTRL-0015 Treat all tool metadata and outputs as untrusted input requiring validation 4.1, 3.3 2.3.1 ASI02, ASI04
CTRL-0016 Define clearly the agent's role, scope, and non-goals in the system prompt 2.3 2.1.2 ASI01
CTRL-0017 Define clear success criteria for the agent's tasks 2.3, 3.2 2.1.2 ASI01
CTRL-0018 Define default behaviour when the agent encounters ambiguous situations 2.1 2.3.1 ASI01
CTRL-0019 Use delimiters to enclose untrusted inputs and instruct the LLM to treat delimited content as data only 4.1 2.3.1 ASI01
CTRL-0020 Use a dedicated LLM to extract required fields from inputs and filter out extraneous text or embedded instructions 4.1, 2.9 2.3.1 ASI01
CTRL-0021 Implement allowlists and denylists to restrict what categories of information can be written to agent memory 2.6, 2.7 2.3.1 ASI06
CTRL-0022 Implement content filtering on memory writes to detect and block known unsafe content patterns 4.1 2.3.1 ASI06
CTRL-0023 Log all memory modifications with comprehensive source metadata for audit purposes 4.3 2.3.3 ASI06, ASI08
CTRL-0024 Define formal schemas for inter-agent messages and validate all messages against these schemas before processing 2.7, 3.4 2.3.1 ASI07
CTRL-0025 Ensure all inter-agent communications are encrypted in transit and prohibit plaintext channels 3.4, 2.6 2.3.1 ASI07
CTRL-0026 Require all agents to authenticate with verifiable, cryptographically signed identities before processing requests 3.4, 2.6 2.1.2 ASI03, ASI07
CTRL-0027 Implement circuit breakers to prevent cascading failures in multi-agent systems 4.3 2.3.3 ASI08
CTRL-0028 Continuously monitor multi-agent systems for cascade failure indicators 4.3 2.3.3 ASI08
CTRL-0029 Grant agents only the minimum permissions required for their designated tasks 2.8 2.1.2 ASI03
CTRL-0030 Assign each agent a unique, verifiable identity with no shared credentials 2.6 2.1.2 ASI03
CTRL-0031 Use only MCP servers that validate token provenance and prohibit unauthorised token passthrough 3.3, 2.6 2.1.2 ASI03
CTRL-0032 Centralise observability data collection in a unified backend system 4.3 2.3.3 ASI08
CTRL-0033 Standardise trace attributes for agent operations using consistent semantic conventions 4.3 2.3.3 ASI08
CTRL-0034 Conduct regular reviews of logs and traces to detect emergent issues in deployed agentic systems 4.3 2.3.3 ASI08
CTRL-0035 Require agents to decompose user goals into explicit sub-goals and validate necessity before proceeding 2.1 2.3.1 ASI01
CTRL-0036 Regularly evaluate and test planning behaviour under representative workloads and failure scenarios 3.2 2.3.2 ASI01
CTRL-0037 Require planning agents to include explicit safety constraints in all generated plans before execution 2.7, 2.1 2.1.2 ASI01, ASI10
CTRL-0038 Conduct pre-deployment safety verification using domain-relevant stress tests and adversarial scenarios 3.2 2.3.2 ASI01, ASI10
CTRL-0039 Ensure each agent publishes standardised, machine-readable capability descriptors accessible to other agents 2.4, 3.4 2.3.1 ASI07
CTRL-0040 Limit the scope of agent actions through predefined thresholds and baselines 2.7, 3.1 2.1.2 ASI02, ASI08
CTRL-0041 Provide comprehensive descriptions for each tool including intended use, required inputs, and potential outputs 2.4 2.3.1 ASI02
CTRL-0042 Require explicit human confirmation before executing high-impact or irreversible tool actions 4.4 2.2.2 ASI02, ASI09
CTRL-0043 Log all tool selection decisions and invocations with comprehensive metadata 4.3 2.3.3 ASI02
CTRL-0044 Implement output safety guardrails to detect and prevent generation of undesirable content 4.2 2.3.1
CTRL-0045 Implement input guardrails to detect and decline requests for specialised domain advice 4.1 2.3.1
CTRL-0046 Implement input guardrails to detect and decline requests for controversial content that violates organisational policies 4.1 2.3.1
CTRL-0047 Implement output guardrails to detect and redact personally identifiable information 4.2 2.3.1
CTRL-0048 Implement methods to reduce hallucination rates in agent outputs 2.11 2.3.1 ASI08
CTRL-0049 Implement UI/UX cues to communicate the risk of hallucination to users 2.11 2.4.2 ASI09
CTRL-0050 Implement features enabling users to verify generated answers against source content 2.11 2.4.2 ASI09
CTRL-0051 Implement input guardrails to detect and decline requests to generate copyrighted content 4.1 2.3.1
CTRL-0052 Declare upfront that communications are generated by an AI system 2.4.2 ASI09
CTRL-0053 Require human approval for communications on sensitive matters 4.4 2.2.2 ASI09
CTRL-0054 Limit agent communications to standard processes with predefined templates 2.7 2.1.2 ASI01
CTRL-0055 Provide alternative channels for users to clarify communications or provide feedback 4.5 2.4.2 ASI09
CTRL-0056 Require explicit user confirmation before initiating or committing any business transaction 4.4 2.2.2 ASI09, ASI02
CTRL-0057 Require out-of-band confirmation when transaction risk signals are elevated 4.4 2.2.2 ASI09
CTRL-0058 Restrict agents to proposing transactions whilst using a separate transaction controller for execution 2.9 2.1.2 ASI03
CTRL-0059 Apply fraud detection models or heuristics to agent-proposed transactions 4.2 2.3.3 ASI02
CTRL-0060 Implement escape filtering before incorporating web content into prompts 4.1 2.3.1 ASI01
CTRL-0061 Use structured retrieval APIs for web searches rather than web scraping 2.1 2.1.2 ASI01
CTRL-0062 Implement input guardrails to detect prompt injection and adversarial attacks 4.1 2.3.1 ASI01
CTRL-0063 Prioritise search results from verified, high-quality domains 2.1 2.3.1 ASI06
CTRL-0064 Limit computer use to accessing only safe and trusted resources 2.7 2.1.2 ASI02
CTRL-0065 Ensure computer use capabilities provide immediate interruptability 4.4 2.3.3 ASI10
CTRL-0066 Ensure "take over" mode is activated when entering sensitive data 2.3.1 ASI02
CTRL-0067 Ensure proper documentation of programmatic interfaces for agent use 2.4 2.3.1 ASI02
CTRL-0068 Use code linters to screen generated code for bad practices and poor syntax 4.2 2.3.1 ASI05
CTRL-0069 Run agent-generated code only in isolated compute environments with network access blocked by default 2.9, 2.8 2.1.2 ASI05
CTRL-0070 Review all agent-generated code before execution 4.2, 4.4 2.2.2 ASI05
CTRL-0071 Use static code analysers to detect security vulnerabilities and code quality issues 4.2 2.3.1 ASI05
CTRL-0072 Monitor runtime and memory consumption of agent-generated code 3.1 2.3.3 ASI02
CTRL-0073 Create a denylist of commands that agents are not permitted to execute 2.7 2.1.2 ASI05
CTRL-0074 Conduct CVE scanning and block execution of code with High or Critical vulnerabilities 4.2 2.3.1 ASI04, ASI05
CTRL-0075 Do not grant write access to agents unless strictly necessary 2.8 2.1.2 ASI02
CTRL-0076 Require human approval for any destructive changes to databases, tables, or files 4.4 2.2.2 ASI02, ASI09
CTRL-0077 Enable versioning or soft-delete for managed object stores to allow recovery from accidental modifications 2.5 2.1.2 ASI02
CTRL-0078 Enforce throttling or rate limits on agent-initiated database operations 3.1 2.1.2 ASI02
CTRL-0079 Validate agent-generated database queries for efficiency before execution against production databases 3.1 2.3.3 ASI02
CTRL-0080 Implement caching mechanisms to reduce repetitive database queries by agents 3.1 ASI02
CTRL-0081 Implement input guardrails to detect personally identifiable information in data accessed by agents 4.1 2.3.1
CTRL-0082 Do not grant agents access to personally identifiable or sensitive data unless strictly required 2.8, 2.7 2.1.2 ASI03
CTRL-0083 Disallow unknown or external files unless they have been scanned for threats 4.1, 2.1 2.3.1 ASI01, ASI04
CTRL-0084 Set minimum and maximum limits on what agents can modify within system resources 2.7 2.1.2 ASI02
CTRL-0085 Log system health metrics and implement automated alerts for abnormal conditions 4.3 2.3.3 ASI08
CTRL-0086 Limit the number of concurrent queries to external systems by agents 3.1 2.1.2 ASI02