OUR PLATFORM
The AuthMind AI Identity Observability & Protection Platform
Identity Access Path Analysis for Unmatched AI & Identity Protection and Threat Protection
The AuthMind Agentic AI Identity Observability & Protection Platform secures agentic AI, non-human, and human identities by observing real access paths across every environment. By combining identity and system events with network, cloud, and application/service logs, AuthMind maps all known and unknown AI agents, NHIs, and human identities, exposing blind spots, eliminating shadow access, and unifying identity risk, combining identity posture management (ISPM) with real-time advanced identity threat detection (ITDR).
Built for Agentic AI, NHI, and Human Identities
AuthMind uses patented native AI and ML models to classify identity behavior and ownership across:
Agentic AI
(co-pilots, assistants, and autonomous)
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/NHI 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 owns or manages them.
Detect identity blind spots such as shadow identities
(including shadow AI agents and NHIs), shadow assets, 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, misuse 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 activities
such as shadow and suspicious access, bypassing privileged access controls, zero-trust bypass, missing MFA, and more.
Detect & prevent real-time risks and threats to secrets and secret managers
with complete visibility into how identities access the vaults or secrets managers, which secrets are retrieved, and where & how they are used.
Consolidate & unify fragmented (and related) identities
across clouds, SaaS, on-prem, and AI systems into a unified identity model mapped back to their true corporate owners, whether that is an AI agent, user or an NHI.
A Source of Truth for Identity Activity
AuthMind creates a real-time source of truth for identity and access by observing how all types of identities actually access your environment, mapping their detailed access paths across your networks, clouds, SaaS, 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 (truth)
AuthMind observes actual access paths on the wire, including cloud traffic, network flows, and workload activity.
Identity Systems (context)
AuthMind integrates with your IdPs, PAM, vaults, and secret managers to enrich activity with identity attributes, roles, groups, policies, secrets, and more.
Systems (source)
By correlating telemetry from systems, applications, services, endpoints, and SASE tools, AuthMind validates the origin and intent of the access.
The Identity Activity Access Graph
All collected and correlated activity is stitched into a real-time Identity Activity Access Graph, a dynamic map of how AI Agents, NHIs, users, and other identities actually access applications, services, data, and infrastructure.
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AuthMind continuously maps complete access paths, such as:
*This graph reflects reality, not IAM events and partial data .
Continuous Identity & AI Risk and Threat Detection
AuthMind automatically compares expected access (IAM/IGA, PAM, and policy intent) with actual access (observed behavior) and applies a set of native AI models to detect them.
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Any risk or threat is flagged as risk, threat, or governance drift.
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Examples include:
MFA is required by policy, but not enforced in practice
Secrets reused across multiple services
AI Agent accessing unauthorized or unexpected 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.
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Enhance Current Business Processes: AuthMind provides a single, trusted view of identity access activity risk, exposures, and threats to current security and business processes, such as a SOC and security workflows.
Detect What Other Tools Miss
Grounded in network truth, AuthMind detects identity risks and threats invisible to IAM, SIEM, XDR, 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.
Watch the in depth of AuthMind identity observability through its unified identity capability
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.