OUR PLATFORM
The AuthMind Identity Observability & Protection Platform
Native AI identity access path analysis delivers unmatched identity protection and threat protection
The AuthMind Identity Observability & Protection Platform secures agentic AI, non-human, and human identities by observing real access paths across every environment. By delivering network-driven identity observability, AuthMind maps all the known and unknown AI agents, NHIs and human identities and exposes blind spots, eliminates shadow access, and unifies identity risk, combining posture management (ISPM) with real-time advanced identity threat detection (ITDR).
Built for Agentic AI, NHI, and Human Identities
AuthMind uses native AI models to classify identity behavior and ownership across:
Agentic AI
Non-Human IDs
Human Users
(services, workloads, automation, assumed roles, secrets)
It detects misuse, maps ownership back to responsible humans, and identifies unauthorized or rogue AI activity.
What We Do
Proactively discover and map all identities
Known and unknown, AI agents, NHIs and humans, by their specific owner and type, unifying each AI agent and NHI with the user that manages them.
Detect identity blind spots such as shadow identities
(including AI agents and NHIs), shadow assets to local accounts and unmanaged systems, missing MFA, dormant service accounts, or users circumventing security controls to access applications and systems.
Detect identity infrastructure risks & threats
including compromised identities, brute-force attacks, misusage of secrets and assumed roles, unusual and unauthorised activity of AI agents, etc., in real time with detailed contextual analysis across the identity fabric.
Identify risky
identity activity
such as shadow and suspicious access, bypassing privileged access controls, zero trust, MFA, and more.
Detect real time risks and threats of secrets and vaults
with complete visibility into how identities access vaults or secrets managers, which secrets are retrieved, and how they are used, preventing real time threats.
Consolidate & unify fragmented identities
across clouds, SaaS, on-prem, and AI systems into a unified identity model mapped back to their true corporate owners, whether that is AI agent, or user.
A Source of Truth for Identity Access
AuthMind creates a real-time source of truth for identity by observing how identities actually access your environment by mapping their detailed access path across your network and systems. Instead of relying on incomplete, spoofable, or missing logs, AuthMind correlates identity context with network-level activity, so you see real access, not assumptions.
How AuthMind Works
Identity Truth Through Triangulation
AuthMind collects and correlates telemetry across three planes to eliminate identity blind spots and conducts an in depth identity access path activity mapping:
Cloud & Network
AuthMind observes actual access paths on the wire, including cloud traffic, network flows, and workload activity.
Endpoints & Devices
By correlating endpoint and SASE telemetry, AuthMind validates where access originates
Identity System
AuthMind integrates with your IdPs, PAM, and secret managers to enrich activity with identity attributes, roles, groups, policies, secrets and more.
Identity Access Graph
All collected and correlated activity is stitched into a real-time Identity Activity Access path AI Graph, a dynamic map of how AI Agents, NHIs and other identities actually access applications, data, and infrastructure.
​
AuthMind continuously maps complete access paths, such as:
*This graph reflects reality, not IAM events and partial data .
Continuous Identity Risk and Threat Detection
AuthMind automatically compares expected access (IAM, PAM, and policy intent) with actual access (observed behavior) and applies a set of native AI models to detect them .
​
Any risk or threat is flagged as risk, threat, or governance drift.
​​
​
Examples include:
MFA required by policy but not enforced in practice
Secrets reused across multiple services
AI Agent accessing unauthorized resources
Humans behaving like services or services being driven by humans
Agentic AI operating outside approved access paths
Remediation & Response
AuthMind turns network-verified identity access path data into precise, actionable intelligence that drives immediate response and long-term risk reduction.​
Automated Remediation: AuthMind’s remediation framework enables actionable response and remediation across idPs, endpoints, network, SASE, PAM and security tools
​
Enhance Current Business Processes: AuthMind feeds a single, trusted view of identity access and activity risk, exposures and threats, into current security and business processes like a SOC, security workflows, etc.
Detect What Other Tools Miss
Grounded in network truth, AuthMind detects identity risks and threats invisible to IAM, SIEM, and endpoint tools, including:
Shadow access and authentication bypass
Token theft, replay, and session hijacking
Identity-centric attacks and anomalous behavior
Exposed assets, orphaned identities, and hygiene gaps
Misusage of secrets, roles and AI agents
No log chasing. No assumptions. Just identity truth.
Why Choose AuthMind
With AuthMind, organizations gain provable clarity into identity risk across agentic AI, non-human, and human identities, reducing exposure, improving security outcomes, enabling AI agent protection and threat prevention and accelerating secure adoption of AI and cloud initiatives.