Digital Banking Identity Solution
AI agents are already in your environment, accessing data, calling APIs, executing workflows, and making decisions at speed.
The question isn’t whether to deploy AI – it’s whether you’re governing it.
91%
of organizations already use AI agents
80%
experienced unintended agent behavior
44%
have zero governance in place
23%
reported credential exposure via agents
The Identity Gap
Traditional IAM was built for humans.
AI agents break every assumption.
Agents don’t log in through federated SSO. They authenticate via API tokens and service accounts that live entirely outside your enterprise IdP’s visibility. Your IAM was never designed to govern this.
6 Critical Risk Vectors
Unauthorized data access
Agents bypass role-based controls and fetch data users were never authorized to see.
Credential leakage
API keys surface in agent prompts and environment variables where they can be exfiltrated.
Stale permissions
Old tokens and roles grant agents excessive privileges that are never reviewed or revoked.
Weak authorization
Coarse-grained rules allow any agent to execute sensitive actions regardless of context.
Compliance gaps
Agent actions aren’t tied to real user identities, creating audit failures and regulatory exposure.
Privacy exposure
Personal and sensitive data leaves secure zones and reaches unauthorized systems.
3 Questions every leader must answer
Where are my agents?
Most organizations can’t answer this accurately. Agents operate without IT’s knowledge in browsers, desktops, and third-party SaaS connections. Visibility isn’t aspirational—it’s the minimum standard for operating in production.
What can they connect to?
Once visible, map every resource each agent can reach—MCP servers, SaaS applications, agent-to-agent handshakes, vaulted credentials. A compromised agent chaining access at machine speed is fundamentally different from a compromised user account.
What can they actually do?
Knowing where agents are isn’t enough without runtime enforcement. You need a kill switch for immediate revocation, human-in-the-loop approval for sensitive actions, and complete audit logs flowing to your SIEM.
The Identity-First Answer
Every AI agent must be governed like your most privileged human user.
Identity is the control plane for AI security. By treating every agent as a non-human identity – discoverable, authenticated, governed, and auditable – we extend your existing Okta investment to govern every agent, model, and workflow.
Discover
Every agent enrolled in your IdP with a named human owner accountable for its behavior.
Authenticate
Zero long-lived tokens in production. Credentials vaulted and time-bound via Okta Privileged Access.
Authorize
Least-privilege access enforced at runtime. Every action scoped to the minimum required for each specific task.
Audit
Every action logged, attributable, and available for compliance against SOC 2, ISO 27001, and NIST AI RMF.
Ready to Unlock the Full Promise of Identity?
Few cybersecurity firms are wholly focused on identity, providing strategic advisory, implementation, and 24×7 monitoring and support. Discover the difference with BeyondID — your success story starts here.
Deployment Sequence
The sequence matters as much as the controls.
The most common mistake enterprises make is jumping ahead to authorization before solving visibility. Tightened permissions only govern agents you already know about. Shadow AI keeps accumulating underneath.
Visibility first
Okta ISPM continuously scans for unregistered agents, over-privileged service accounts, and misconfigured OAuth clients across your entire SaaS estate.
Register & enroll
Every agent enrolled in Okta Universal Directory with a named owner and credentials vaulted via Okta Privileged Access. CI/CD integration makes governance a gate, not an afterthought.
Authorize at runtime
Okta Cross-App Access (CAA) enforces centralized authorization policies in real time. The MCP Adapter bridges third-party tools that can’t natively participate in Okta’s authorization flows.
Govern continuously
OIG runs automated access certification campaigns. ITP monitors agent behavior in real time. Universal Logout revokes access across every connected system instantly when an agent needs to be shut down.
Identity & Trust Layer
BeyondID governs every agent, model, and workflow with identity-first architecture, least-privilege access controls, and continuous monitoring.
AI Agent Inventory & Risk Classification
Okta IAM architecture & implementation
Zero Trust non-human identity governance
MCP server integration & security
Continuous compliance monitoring
AI Security Adoption Roadmap
Intelligence Layer
Nexera designs, builds, and runs production-grade AI systems from initial strategy through custom agent development and ongoing managed operations, with security baked in from the design stage.
AI strategy & architecture design
Custom agent & LLM development
Production deployment & operations
Agent-to-agent workflow orchestration
Ongoing managed AI operations
AI Governance, Risk & Operating Model
AI Governance, Risk & Operating Model
Okta ISPM — Identity Security Posture Management for continuous agent discovery
Okta Universal Directory — Non-human identity enrollment with named ownership
Okta Privileged Access — Vaulted, time-bound credentials. Zero long-lived tokens in production
Cross-App Access (CAA) — Next-generation agent-to-application authorization protocol
Cross-App Access (CAA) — Next-generation agent-to-application authorization protocol
Identity Threat Protection — Real-time behavioral monitoring with automated remediation
AI Agent Identity & Security Blueprint Packages
From strategy to production in 90 days.
Advisory and consulting services designed to discover, assess, and secure AI agents within your environment, defining an identity-first AI security strategy, architecture, and operating model.
Phase 1 — AI Identity Readiness Sprint Current: “A rapid assessment of your current AI agent landscape and identity security posture. Establish the baseline before scaling governance.” Suggested: “Understand exactly where your AI agents are, what they can access, and where your identity gaps are — before they become incidents.”
Phase 2 — Secure Architecture Blueprint
Current: “Reference architecture design integrating IAM, MCP servers, LLMs, and enterprise systems with Zero Trust principles applied to every agent identity.”
Suggested: “A purpose-built security architecture that governs every agent, model, and workflow — designed around your environment, not bolted on after the fact.”Phase 3 — 90-Day Secure Agent Launch Current: “Full implementation of the identity-first security framework. Agents reach production governed from the inside out — not patched from the outside in.” Suggested: “Go from strategy to production in 90 days, with every agent enrolled, credentialed, and governed before it touches your environment.”
Phase 4 — Managed AI Security Operations Current: “Continuous managed operations as your AI agent population grows. Lifecycle management, continuous monitoring, and automated remediation at scale.” Suggested: “As your AI footprint grows, we grow with it — continuous monitoring, automated remediation, and lifecycle governance so your security posture never falls behind.”
The window is still open, but it’s narrowing
first incident forces your hand.
identity security fabric is another week of audit exposure, compliance risk,
and potential credential compromise. The architecture exists today. The tooling
is mature. The methodology is proven.