Opal 2026 Product Roadmap

Intelligent Access Management

Opal Today

"You define the program. We make it real."

Just-In-Time Access

Time-bounded, on-demand access requests

Request access when needed

Automatic expiration

Reduced standing privileges

Access Reviews

Periodic certification campaigns

Prove compliance

Catch access drift

Satisfy auditors

Access Rules

Policy-driven automation

Encode policies once

Enforce everywhere

Consistent governance

Just-in-Time? More Like Just... Waiting

Cumulative employee wait time for access (2025, approved requests)

Customer A

42 years

133,450 approvals · 11,019 users

Customer B

29 years

43,805 approvals · 2,717 users

Wait Time by Customer

Customer	Total Wait	Approvals	Users	Hrs/User/Yr	Median	P90
Customer A	42 yrs	133,450	11,019	33.1h	10.2m	7.6h
Customer B	29 yrs	43,805	2,717	92.6h	22.7m	16.4h
Customer C	14 yrs	52,841	4,672	26.9h	13.0m	8.8h
Customer D	11 yrs	31,635	2,013	46.0h	11.5m	8.2h
Customer E	7 yrs	3,242	1,016	60.6h	68.6m	48.5h
Customer F	8 yrs	18,247	1,842	37.0h	12.1m	11.7h
Customer G	6 yrs	14,569	1,417	37.9h	8.4m	9.5h
Customer H	5 yrs	28,973	2,997	15.7h	3.3m	4.1h

Access Excess

Resource usage rates (% of users with access who used it in last 30 days)

Customer E

46 %

of resources have <25% usage

Customer A

39 %

of resources have <25% usage

Usage Rates by Customer

Customer	Resources	<25% Usage	<50% Usage	<75% Usage
Customer A	1,847	721 (39%)	1,033 (56%)	1,386 (75%)
Customer C	2,059	566 (27%)	792 (38%)	1,132 (55%)
Customer B	412	185 (45%)	247 (60%)	313 (76%)
Customer D	289	104 (36%)	156 (54%)	208 (72%)
Customer H	274	98 (36%)	153 (56%)	219 (80%)
Customer F	325	136 (42%)	172 (53%)	222 (68%)
Customer E	156	72 (46%)	98 (63%)	125 (80%)
Customer G	198	67 (34%)	99 (50%)	142 (72%)

LAYER 3AI Intelligence

LAYER 2Program Insights

LAYER 1Governance Platform

Layer 1

Governance Platform

"The core capabilities of your IAM program"

Layer 1

Governance Platform Roadmap

Making your IAM program more powerful and expressive

End User Experience

Home redesign

Unified inbox

Opal Browser Extension

Streamlined workflows

Policy debugger

UAR 2.0

UAR redesign

Better reviewer experience

Improved automated assignment

OpalQuery driven scope

Campaign specific reviewer context

OpalQuery

Natural language policy queries

Export & share results

Scheduled reports

OpalScript

Automated reviewer

Scheduled runs

AI OpalScript Assistant

Integrations

Rootly

Grafana

GitHub Enterprise

Okta CIAM

Oracle Cloud

LAYER 3AI Intelligence

LAYER 2Program Insights

LAYER 1Governance Platform

Layer 2

Program Insights

"Measure if your program is working"

Layer 2

Program Insights

Visibility into whether your governance program is working

Program Health Score

87

+3 from last quarter

Avg Wait Time

4.2h

-18% from last quarter

Usage Rate

62%

+5% from last quarter

Auto-Approved

34%

Of total requests

Standing Access

2,847

-12% from last quarter

Compliance Score

94%

Insights Roadmap

Policy Health DashboardIn Progress

Wait Time AnalyticsPlanned

Usage Rate TrackingPlanned

Layer 2

Request Analytics

Track and analyze access request patterns across your organization

Request Volume (Last 30 Days)

AWS Console

1,247

GitHub

1,056

Snowflake

847

Salesforce

598

Okta Groups

423

Approval Breakdown

Auto-approved34%

Manual52%

Denied14%

Time to Approval

12m

Median

4.2h

P90

18.5h

P99

Layer 2

The Feedback Loop

How insights drive program improvement

1. Build Program

Configure JIT, Reviews, Rules

4. Improve Program

Implement recommendations

Better

Outcomes

2. Measure Impact

Track wait times & usage

3. AI Analysis

Paladin finds patterns

Continuous improvement. Each cycle makes your program more effective.

LAYER 3AI Intelligence

LAYER 2Program Insights

LAYER 1Governance Platform

Layer 3

AI Intelligence

"Optimize your program automatically"

Layer 3

The Three Agents

AI that optimizes both layers

Paladin

"Should this identity have access?"

AI-powered engine that answers 'should this identity have access to this asset?' by consuming information across the Opal Platform to make well-informed, justified decisions in seconds.

Atlas

"Conversational AI for end users"

Conversational AI agent that quickly gets end users to the assets they need. Uses vector DBs, RAG, and natural language to surface the right access instantly.

Copilot

"Admin assistant for IGA"

Admin assistant that helps with query construction, policy analysis, and UAR program building. Full knowledge of Opal's feature set with natural language configuration.

AI Agent

Paladin

"Should this identity have access?"

AI-powered engine that answers 'should this identity have access to this asset?' by consuming information across the Opal Platform to make well-informed, justified decisions in seconds.

H1 2026 Target

1,000,000

entitlements

25%

Key Capabilities

Auto-approve access requests

Inform UAR decisions

Continuous access review

Anomaly detection

Risk-based recommendations

Policy recommendations

Custom context ingestion

The Intelligence Flywheel

Each layer feeds the next, creating a self-improving cycle

Governance

JIT, UARs, Rules

Insights

Health, Usage, Wait

Intelligence

Paladin, Atlas, Copilot

H1 2026

What We're Building

Summary of initiatives for the first half of 2026

Governance Platform

End User ExperienceOpalQueryUAR 2.0Integrations

Program Insights

Policy Health DashboardWait Time AnalyticsUsage Rate Tracking

AI Intelligence

Paladin BasicPaladin ComprehensiveAtlas Slack

Core Platform

LaunchDarkly ResiliencyOrg-Aware SchedulerSync StabilityOn-prem StableEvents v2Unified AI InfrastructureAPI Improvements

Thank You

Questions?

1M

Paladin Reviews

4,000

OpalQuery Queries