The challenge
Your agents have more access than you think
Agents navigate tools, databases and APIs autonomously — and legacy IAM models were designed for predictable, human-centric patterns. That mismatch is where risk accumulates.
Unpredictable behavior
Unlike traditional applications, agents self-navigate across tools, databases and APIs — their execution paths change from one run to the next. Static policies cannot keep up.
Legacy IAM systems fail
Traditional identity and access management was designed for humans following defined workflows. Agents break every assumption: autonomous, dynamic, capable of invoking other agents.
Scale without precedent
Gartner estimates machine-to-human identities are growing at a 45:1 ratio. Each new agent introduces a new identity, a new set of credential paths, and an expanded policy boundary.
Critical risks
Four critical risk areas in every agentic workflow
These are the patterns we observe across most enterprise AI deployments — regardless of the framework or provider used.
Overprivilege without visibility
Agents accumulate far more access than they need. When agents invoke other agents, permissions cascade down a chain nobody fully sees — creating a massive blast radius if any node is compromised.
No real-time enforcement
Most organizations assume guardrails exist at the point where an agent calls a tool or queries a database. In the majority of cases, those checks are simply absent. End-to-end security fails at the last mile.
Impersonation and invisible delegation
Agents routinely act under the identity of the human who invoked them. This breaks audit trails and hides delegation — making it impossible to answer "who authorized this action?"
Zero accountability
Without unique agent identities, runtime policy checks and structured logging, the baseline control questions — who approved this, which agent ran it, under what authority — cannot be answered.
Our approach
Runtime security, built into every layer of your agentic stack
Agentic runtime security is not a product you install — it is an architectural pattern you embed from the start. SIA Innovations structures it around five imperatives drawn from IBM and HashiCorp field implementations.
Register every agent
Every agent gets a unique, cryptographically bound identity — no shared keys, no service accounts, no hiding behind a human principal. Identity is established via mTLS, SPIFFE or cloud provider identity, and managed centrally in Vault.
Strip standing privileges
Standing access is revoked. A just-in-time (JIT) credential system issues dynamic secrets with a strict TTL — lasting only as long as the required task — across the entire execution chain. Blast radius is minimized by design.
Tie actions to intent
When an agent accesses user-specific data or performs privileged operations, user context, consent and explicit delegation are captured via OAuth 2.0 flows. "Agent X can do this for user Y, for purpose Z, during session B" — not just "agent X can do this."
Enforce at point of use
Every API call, query and tool invocation is verified against runtime policies before execution. If the agent is not permitted to access the target resource, the request is denied — not at login, not at deploy, but at the moment of action.
Produce proof of control
Signed audit trails answer control questions in seconds. Security teams detect violations — an agent reaching a database it was never meant to touch — in near real time. Clear separation: user authentication and SSO belong to the IdP (IBM Verify); workload identity, credential brokering and auditing belong to Vault.
Use cases
Three deployment patterns — from basic to privileged
These use cases reflect the progression of agentic AI maturity across enterprise organizations. Each adds a layer of identity, consent and delegation.
Read-only information retrieval
No user context requiredAn agent answers generic queries (FAQs, policies, business hours). Vault issues JIT credentials to the downstream data source with an explicit TTL — automatically renewed if the task requires it. No user-specific data, no consent flow needed.
Personalized information retrieval
User context + consentThe agent now queries customer-specific data and personalized records. An OAuth 2.0 authorization flow via IBM Security Verify captures user context, session ID and delegation claims as a JWT. Vault uses this context to issue scoped, user-bound JIT credentials to the data sources.
Personalized + privileged operations
User context + consent + explicit delegationThe agent performs elevated operations: banking transactions, HR onboarding, document authoring. An OAuth 2.0 CIBA flow with IBM Verify pushes a real-time approval notification to the user's mobile device whenever the agent attempts a privileged action. Full auditability and proof of control at every step.
Why act now
The urgency is not theoretical
Security
Agent compromise is currently the fastest-growing attack vector across the industry. The IBM 2025 Cost of a Data Breach Report states that 97% of organizations that reported an AI-related security incident lacked dedicated AI access controls.
Regulatory pressure
SOC 2, GDPR and PCI DSS demand demonstrable unique identities, complete audit trails and rapid permission revocation. Only 21% of organizations say they have a mature model for agent governance — while most plan to deploy agents within 18 months.
Operational sprawl
As organizations launch dozens or hundreds of agents, privilege creep and policy fragmentation accelerate. Without centralized control, each team creates its own siloed approach — compounding the secret sprawl and configuration drift you already face.
Technologies
The technology stack behind agentic runtime security
Deliverables
What you get from an Agentic Security engagement
A complete inventory of your AI agents and their current access rights
An identity architecture for your agentic workloads (Vault + IBM Verify integration design)
A JIT credential policy framework scoped to each agent role and use case
Runtime enforcement rules configured in HashiCorp Vault
An audit trail architecture ready for SOC 2, GDPR and PCI DSS demonstrability
A phased implementation plan with effort estimates and risk assessment
Training for your platform and security teams on agentic identity patterns
Continuous monitoring service available post-deployment
Why SIA?
SIA Innovations deploys HashiCorp Vault and IBM Security Verify in production environments across Canada — not as resellers, but as architects who have implemented secrets management and identity governance in complex hybrid environments. Our Infrastructure practice brings direct access to HashiCorp and IBM engineers, lab environments and product roadmaps.
We understand both the security architecture and the AI workload context — which is what makes agentic runtime security a problem we can solve end to end.
Your agents are running. Is your security keeping up?
In 90 minutes, our architects review your agentic AI deployment, identify your credential and access exposure, and propose a concrete runtime security architecture.