AI Agent Risks in Enterprise
The essential risk dimensions enterprises need to address to deploy AI agents safely at scale, spanning operational, security, and regulatory risks.
Harbor provides a three-dimensional view of agent risk:
Risks arising from how AI agents perform tasks, make decisions, and interact with enterprise systems and processes.
Risks involving data access, handling, confidentiality, integrity, and exposure to security threats.
Risks arising from non-compliance with applicable laws, regulations, standards, and legal obligations.
Our risk framework provides a complete view of agent risk, built on:
Core risks identified and continuously refined with leading AI safety teams at the frontier.
Shaped through failure modes observed through work with our enterprise partners deploying AI in real environments.
Mapped to EU AI Act, GDPR, Product Liability Directive, ISO/IEC 42001, NIST AI RMF, OWASP Top 10, MITRE ATLAS, and other AI and industry regulations.
Custom risk scoping to your agent and enterprise:
The agent’s capabilities, autonomy, tools, permissions and data access.
The risks, standards and rules of the agent’s industry, such as HIPAA in healthcare or SR 26-2 in banking.
The laws that apply where the agent, its data and its users are.
To guide mitigation, we group risk controls into two categories:
Controls relating to how the AI agent is built, operates, connects to systems, and can be manipulated or compromised.
Controls relating to how the company deploys, oversees, controls, and is accountable for the AI agent and its outcomes.
Harbor provides a three-dimensional view of agent risk:
01 Operational
Risks arising from how AI agents perform tasks, make decisions, and interact with enterprise systems and processes.
02 Security
Risks involving data access, handling, confidentiality, integrity, and exposure to security threats.
03 Regulatory
Risks arising from non-compliance with applicable laws, regulations, standards, and legal obligations.
Our risk framework provides a complete view of agent risk, built on:
Frontier Research
Core risks identified and continuously refined with leading AI safety teams at the frontier.
Enterprise Partners
Shaped through failure modes observed through work with our enterprise partners deploying AI in real environments.
Leading AI Frameworks
Mapped to EU AI Act, GDPR, Product Liability Directive, ISO/IEC 42001, NIST AI RMF, OWASP Top 10, MITRE ATLAS, and other AI and industry regulations.
Custom risk scoping to your agent and enterprise:
Agent Architecture
The agent’s capabilities, autonomy, tools, permissions and data access.
Industry
The risks, standards and rules of the agent’s industry, such as HIPAA in healthcare or SR 26-2 in banking.
Regulatory Jurisdiction
The laws that apply where the agent, its data and its users are.
To guide mitigation, we group risk controls into two categories:
Technical
Controls relating to how the AI agent is built, operates, connects to systems, and can be manipulated or compromised.
Governance
Controls relating to how the company deploys, oversees, controls, and is accountable for the AI agent and its outcomes.
Identify your company's AI agent risks.
See our risk framework
Explore the complete set of enterprise AI agent risks, including the dimensions, individual risks, and underlying methodologies.
View Framework
Our solution
We scope the framework to the agents, use cases, and regulatory environments that matter to your organization.
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