If one of your AI agents were compromised right now, how much damage could it do, and how fast would you know? Most security teams don't have a clear answer today. This assessment gives you an answer in 2 minutes.
Your organization may be using AI agents to automate workflows, connect systems and move faster. That's the upside. The risk is that these agents may hold credentials, access sensitive systems and operate with fewer controls than human users.
Legacy PAM solutions were designed around human access patterns, though modern platforms have expanded to support service accounts, secrets and machine identities. AI agents introduce additional complexity: they may run continuously, interact with multiple systems and make decisions based on incoming data.
In some architectures, agents can be influenced by the data they process, including risks such as prompt injection, where malicious input alters agent behavior.
When an AI agent is compromised, the question isn't whether damage will occur. It's how much damage can happen before anyone notices. That's your blast radius.
An AI agent blast radius is the total scope of damage – data accessed, systems compromised, actions taken, communications sent – that a malicious actor could achieve by exploiting a single compromised AI agent within an organization's environment.
The term is borrowed from physical security, where blast radius describes the area affected by an explosion. In cybersecurity, it describes how far an attacker can reach using a compromised identity or credential. For AI agents, that reach can be broader than a typical user account if the agent has access to multiple systems or persistent credentials.
Which systems and data can your agents reach? What privilege level do they hold?
Are credentials hardcoded or properly managed? Do agents use JIT or standing access?
Is there a formal process for deploying agents and connecting them to systems?
How quickly would you detect a compromised agent – minutes, hours or days?
10 questions. Instant results. No signup required. Your answer based on how your environment actually works – not how your policy says it should.
Covering access scope, credential hygiene, governance controls and detection capability.
With a full breakdown across all four risk dimensions, showing exactly where your exposure is highest and what's driving your score.
Specific, prioritized gaps based on your actual answers – not generic recommendations. See exactly what's expanding your blast radius.
Answer 10 questions and get an instant scored breakdown of your AI agent blast radius across four risk dimensions – attack surface, credential risk, governance posture and detection gaps.
Traditional PAM focused on human access, but modern PAM solutions also support service accounts and machine identities. AI agents introduce additional considerations, such as continuous operation, automated decision-making and interaction with untrusted data sources.
Prompt injection is an attack technique in which malicious instructions are embedded in content that an AI agent processes, such as an email, document or database record. When the agent reads the content, it may follow the embedded instructions rather than its intended programming. This is known as indirect prompt injection. In direct prompt injection, an attacker manipulates the input prompt itself to override the agent's behavior. Either variant can cause an agent to exfiltrate data, send unauthorized messages or abuse its existing permissions in ways its operators did not intend.
Just-In-Time (JIT) access means an AI agent's credentials are provisioned only for the duration of a specific task, then automatically revoked. This is in contrast to standing access, where an agent holds permanent credentials that remain valid even when the agent is not actively working. JIT access dramatically reduces blast radius by limiting the window an attacker has to exploit a compromised agent.
The most common risk indicators are: agents holding standing privileged access rather than JIT credentials; API keys or tokens hardcoded in source code or CI/CD pipelines; no formal approval process for connecting new AI tools to company systems; and no real-time behavioral monitoring. Keeper's free AI Agent Blast Radius Calculator assesses your exposure across all four of these dimensions in 10 questions.
Scores below 25 indicate well-contained risk with strong controls across all dimensions. Scores between 26 and 50 suggest meaningful gaps that warrant targeted remediation. Scores above 50 indicate significant exposure that should be addressed before your AI agent footprint grows further. Scores are weighted across the four risk dimensions – attack surface, credential risk, governance posture and detection gap – with a maximum score of 100. There is no score that means you can stop monitoring – AI agent risk is dynamic as new tools are deployed.
Yes, the assessment is free, requires no account creation and provides instant results. It was built to give security and IT teams a clear picture of their AI agent exposure. Results include a scored breakdown across four risk dimensions and actionable findings based on your specific answers.
KeeperPAM addresses AI agent blast radius at every layer. JIT access provisioning means credentials exist only for the duration of a task. Secrets management eliminates hardcoded API keys and tokens from source code and pipelines. Agentic session recording provides a full audit trail of what every agent did and when, within Keeper-brokered sessions. And behavioral anomaly detection alerts your team the moment an agent starts acting outside its expected parameters.
Every week, your AI footprint grows. Every new agent is another credential, another access path, a larger blast radius.
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