Opti

What Opti does

Opti is an AI-native identity security platform that revolutionizes how modern teams define, protect, and govern identities. It turns complex identity decisions into precise, explainable, and instantly actionable insights, helping security teams enforce least-privilege access, reduce risk, and simplify compliance. Opti's AI models are purpose-built for IAM, continuously analyzing access behavior and risk across every identity and application. The platform provides unprecedented visibility across the entire environment, ingesting, normalizing, and analyzing all identities (human, non-human, agentic) across all applications. It specializes in discovering risky access or excessive privileges and building tailored, automated policies and remediation plans. Opti integrates seamlessly with existing identity solutions and business applications, including homegrown applications, and deploys in hours. It is designed to be an autonomous, self-correcting layer of the business, ensuring always-accurate visibility, continuous least-privilege enforcement, and instant, policy-aware decisions at scale.

Key capabilities

• AI-native identity fabric
• Unified visibility across identities, entitlements, and access paths
• Context-aware engine for continuous analysis of access behavior and risk
• Specialized entitlement models for discovering risky access and excessive privileges
• Identity workflow engine for tailored, automated policies and remediation plans
• Rich analytics for governance processes
• AI-driven recommendations and automation for JML workflows
• Continuous aggregation of identity, access, and entitlement data for compliance
• Risk scoring with contextual, continuously updated entitlement risk scores
• Automated fixes for risky access with guided, least-privilege remediations
• Audit-ready evidence and attestations
• Revocation of unused entitlements based on actual usage
• Generation of smart and secure access policies
• Enforcement of least privilege
• Human oversight for critical changes
• Non-human identity governance (workloads, service accounts, keys, agents)
• Cloud IAM & workload identity management (AWS, Azure, GCP, Oracle cloud)
• AI services & agents security (LLM-based agents)
• Vaults governance (secrets, tokens, credentials)
• DBs and datalakes visibility and remediation
• Day-one least privilege for new hires
• Dynamic recalibration of entitlements as roles change
• Context-aware policies adjusting groups/roles across IdPs and SaaS
• Enriched access requests with policy, peer use, and SoD impact
• AI-powered entitlement mapping
• AI-driven granular policy controls
• AI-guided recommendations for minimal privileges
• Just-In-time access
• Automated revocation of permissions
• Continuous evaluation of access against identity, role, and behavior signals
• Living access graph of identities, entitlements, and usage
• Natural language interface for querying access information
• Interactive access graph for real-time changes to entitlements and permissions
• AI-driven engine for surfacing and addressing access risks
• Dynamic privilege analysis
• Built-in risk mitigation
• Human-readable policy creation
• One-click remediation
• Smart policy suggestions
• Intent-aware access recommendations
• AI activity risk monitoring
• Granular AI access visibility
• Unified AI agent governance
• Secure agent supply chain

Use cases

• Defining, protecting, and governing identities
• Enforcing least-privilege access
• Reducing identity risk
• Simplifying compliance and audits
• Managing growing attack surfaces
• Addressing manual IAM processes
• Gaining visibility across entire identity environment
• Discovering and remediating risky access and excessive privileges
• Enhancing JML (Joiner, Mover, Leaver) workflows
• Demonstrating compliance without chaos
• Unifying identity data
• Detecting identity risk
• Automating identity remediation
• Securing non-human identities (cloud workloads, service accounts, API keys, bots, AI agents)
• Right-sizing roles and service principals in cloud environments
• Setting guardrails for LLM-based agents
• Monitoring usage and revoking access for AI agents
• Governing secrets, tokens, and credentials in vaults
• Gaining visibility and remediating risky access in databases and datalakes
• Ensuring day-one least privilege for new hires
• Automatically adjusting access as roles change
• Enriching access requests with business context
• Streamlining approvals for access requests
• Provisioning and removing entitlements
• Ensuring access only when needed (Just-In-Time access)
• Continuous monitoring for policy violations
• Untangling complexity at scale in identity management
• Making faster and better identity decisions
• Managing identity risk proactively
• Securing AI integrations and agents
• Monitoring agent activity and access permissions
• Detecting risky behavior in AI agents
• Extending IAM policies to AI agents
• Analyzing agent behavior and flagging over-privileged capabilities
• Discovering hidden agents and validating toolchain integrations
• Enforcing runtime guardrails for AI agents

AI approach

Opti is an AI-native identity security platform that uses purpose-built AI models to analyze access behavior and risk across identities and applications. It leverages a context-aware engine to provide visibility, detect risky access, and automate remediation. The platform uses specialized entitlement models, workflow-aware LLMs, and identity-specific AI models trained on entitlement data, policy language, and peer-usage patterns. It also features a natural language interface for querying access information.

Tech named: AI models, context-aware engine, specialized entitlement models, identity workflow engine, LLM, deep learning data scientists

What it says sets it apart

• AI-native platform from day one
• AI models purpose-built for IAM
• Context-aware engine continuously analyzes access behavior and risk
• Specialized entitlement models understand and analyze wide context
• Identity workflow engine builds tailored, automated policies and remediation plans
• Seamless integration with existing identity solutions and business applications, including homegrown apps
• Deploys in hours
• AI-guided IGA layer
• AI-powered entitlement mapping, granular policy controls, and guided recommendations
• Continuous learning from how teams work to suggest new policies
• Natural language interface for querying access
• Interactive access graph for real-time changes
• Domain-trained models understand intricate language of entitlements and policies
• Automates riskiest and most repetitive parts of access management
• Autonomous, self-correcting identity layer
• Enterprise-scale flexibility with cloud-native micro-services
• Built secure-first with single-tenant data isolation, end-to-end encryption, SOC 2 / ISO 27001 controls

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.