The SACR report on Agentic Identity Access Platforms (AIAP) captures a structural shift: from static, human‑centric identities to intent‑driven, short‑lived access for AI agents and non‑human identities. In that landscape, Sharelock acts as the missing infrastructure layer that connects traditional identity control planes with this emerging “SSO for agents”, by combining an identity security platform (ITDR + behavioral ISPM) with an infrastructure‑aware agentic AI architecture.

From static identities to AIAP: what changes

AIAPs are described as central brokers that:

• standardize how agents request access to resources;
• translate high‑level intents into deterministic authorization decisions;
• issue task‑scoped, short‑lived credentials instead of long‑lived standing privileges;
• provide a “single sign‑on” experience for agents, workloads and NHIs across the enterprise.

The real risk is not just the agent itself but the identity chain behind it – agents, delegates, service principals, tokens, and tools stitched together with little visibility or governance. This pushes identity and security teams toward continuous discovery of agents/NHIs, intent‑based authorization, zero standing privilege, and runtime guardrails tuned for agentic workloads.

Where Sharelock fits in the AIAP stack

Much of what the report assumes as the “security brain” behind an AIAP is exactly what Sharelock already provides:

• Unified identity fabric: Sharelock integrates AD, Entra ID, Okta, IGA, PAM, SaaS and cloud to build a single graph of human, non‑human and agentic identities, with roles, permissions, behavior and policy context.
• Infrastructure‑aware agents: Sharelock agents use MCP servers to access identity topology, authentication logs, behavioral baselines and policy/exception data, so investigations and decisions are grounded in the actual environment, not in abstract patterns.
• Multi‑agent system for security: specialized agents (SIA for investigation, SIR for response, posture and user‑engagement agents, etc.) are orchestrated with safety guardians, rollback and Time To Trust (TTT) metrics to control autonomy.

For an AIAP, this means there is a ready‑made foundation: Sharelock discovers and scores identities and agents, monitors NHIs, correlates intents with behavior, and governs the full detection‑to‑remediation loop that a broker must rely on to make safe access decisions at scale.

Sharelock as Agentic AI Builder

Gartner positions Sharelock in two distinct categories:

• Agentic AI for Security: production‑ready autonomous agents for investigation and response;
• Agentic AI Builder: a zero/low‑code builder platform to design custom security agents and workflows.

Concretely, this is enabled by:

• a three‑layer architecture (MCP context layer, dynamic code generation via PyCode, and a multi‑agent SecOps system) that turns generic models into infrastructure‑aware experts;
• a zero‑code agent builder that turns natural‑language playbooks into executable Mermaid workflows, extendable via OpenAPI tools, MCP servers and Node‑RED, so security teams – not only developers – can build agents;​
• a safeguard and TTT framework, where guardians validate tool calls and actions, every step is rollback‑capable, and Time To Trust (typically 4–6 weeks) is explicitly tracked as a core adoption metric.

The implication for enterprises is clear: Sharelock is not only an identity security platform, but also an agentic AI enabler – a way to safely deploy and customize AI agents on top of existing identity and security investments, without building an agentic infrastructure from scratch.

Connecting AIAP and Sharelock: from vision to implementation

If you map the AIAP model from the report onto a real enterprise stack, Sharelock covers three key roles:

• AIAP‑ready identity fabric: discovery, risk scoring and posture management for humans, NHIs and agentic identities, so the AIAP does not sit on top of a blind or fragmented identity landscape.
• Runtime reasoning and guardrails: where the AIAP focuses on brokering access, Sharelock provides infrastructure‑aware reasoning that checks intents and actions against policies, baselines and delegation chains before they become incidents.
• Cross‑platform agent governance: by integrating Entra, Okta, IGA, PAM, Microsoft Defender and other tools, Sharelock creates a governance layer that follows agents across brokers and toolchains, ensuring consistent policies, monitoring and response.

This makes Sharelock a natural counterpart – or even core component – of an AIAP strategy: it supplies the identity graph, behavioral intelligence and operational agents the report treats as prerequisites for safe, scalable agentic access.

What this means for CISOs and security leaders

Looking at SACR’s AIAP analysis through a CISO lens, three priorities emerge:

• Start from infrastructure‑aware identity security: unify ITDR and behavioral ISPM so agentic access decisions reflect real‑world risk, not just static entitlements.
• Use agentic AI where it already adds value: deploy production‑ready agents (for investigation, response, posture and user‑engagement) to reduce analyst workload and build the telemetry and trust you will need for AIAP‑style brokering.
• Measure adoption with TTT, not hype: track how quickly and safely you can move from full HITL to controlled autonomy, how much standing privilege you eliminate, and how often agent decisions can be fully explained and audited.​

Enterprises that take this path can treat AIAP not as a leap into the unknown, but as the next step on top of a security and identity stack that is already agentic‑ready – with Sharelock as both the identity security backbone and the agentic AI builder that makes that evolution operational.

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