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Agent Identity & Authentication
Review how agents identify and authenticate.
- Service identities and credentials
- Authentication boundaries
- Token and secret handling
- Agent-to-agent trust considerations
EAKA IT assesses the security and governance controls around AI agents—focusing on identity, permissions, tool use, prompt injection, data exposure, action boundaries, monitoring and human oversight before agent autonomy creates enterprise risk.
Agents may inherit broad user, service-account or application permissions that exceed their intended purpose.
Plugins, APIs and MCP servers can expand the attack surface and create supply-chain or impersonation risk.
Untrusted content can influence agent behavior, tool calls or sensitive-data handling.
Without strong logging and approval boundaries, organizations may struggle to reconstruct why an agent took a specific action.
Scope is tailored to your current environment, risk profile, technology stack and internal operating model.
Review how agents identify and authenticate.
Constrain what agents can access and do.
Assess untrusted-input exposure.
Review external capabilities and trust.
Assess sensitive-data paths.
Build accountability for autonomous actions.
Every engagement is designed to leave you with clear ownership, documented evidence and prioritized next actions.
We start with evidence and business context, then sequence improvements by risk, dependency and implementation effort.
Document models, orchestrators, tools, APIs, identities, data sources, memory, RAG stores and external integrations.
Examine attacker-controlled inputs, permission boundaries, tool trust, sensitive-data paths and autonomous actions.
Review configurations and test agreed scenarios in a controlled manner, without exceeding authorized scope.
Group findings by risk and implementation effort, assign ownership and define pre-production or production improvement actions.
Agentic AI adds action-taking capability. The assessment therefore examines identities, tool permissions, agent-to-agent trust, API interactions, transaction boundaries, human approval and action logging in addition to model and data risks.
Prompt-injection exposure can be assessed within the agreed scope, including indirect prompt injection where untrusted content may influence agent behavior or tool use.
MCP and similar tool-connection mechanisms can introduce trust, authorization, provenance, credential and supply-chain risks. Controls should limit which servers/tools are trusted and what actions they can perform.
Yes. A pre-production assessment is often valuable because high-risk identity, permission and tool-design issues are easier to fix before deployment.
Yes. The output is designed to prioritize concrete actions across architecture, identity, tool trust, data protection, testing, monitoring and human oversight.
Build a broader roadmap where operational, security and governance requirements overlap.
Share your environment, priorities and deadlines. EAKA IT will recommend a pragmatic first step and an appropriate scope.
Get a clear view of current gaps, priorities, ownership and next steps.