Opal on Autopilot
Designed for a Future of Intelligent Agents
Opal ingests real-time identity data from humans, service accounts, and AI agents—then uses policy intelligence and risk signals to dynamically manage access. From onboarding to break-glass, Opal ensures every identity has the right access, at the right time, and for the right reason.
Opal ingests real-time identity data from humans, service accounts, and AI agents—then uses policy intelligence and risk signals to dynamically manage access. From onboarding to break-glass, Opal ensures every identity has the right access, at the right time, and for the right reason.
Opal ingests real-time identity data from humans, service accounts, and AI agents—then uses policy intelligence and risk signals to dynamically manage access. From onboarding to break-glass, Opal ensures every identity has the right access, at the right time, and for the right reason.
From Human-Guided to Self Learning
Why Human-in-the-Loop Was Necessary
Access decisions are high stakes. Early on, security and IT teams need full context—who’s requesting what, why, and what the risk is. That’s why most access workflows still rely on manual reviews, approvals, and ticket queues.
Why Human-in-the-Loop Was Necessary
Access decisions are high stakes. Early on, security and IT teams need full context—who’s requesting what, why, and what the risk is. That’s why most access workflows still rely on manual reviews, approvals, and ticket queues.
Why Human-in-the-Loop Was Necessary
Access decisions are high stakes. Early on, security and IT teams need full context—who’s requesting what, why, and what the risk is. That’s why most access workflows still rely on manual reviews, approvals, and ticket queues.
Opal Gives Humans the Right Signals to Make the Right Calls
Opal begins by giving security and IT teams the visibility and risk intelligence to make informed decisions. Our workflows incorporate usage data, peer benchmarking, and business context—making every approval faster and smarter. Examples: Suggested reviewers based on ownership, usage signals to flag over-provisioned roles and peer group recommendations (“This engineer has 80% of access X”)
Opal Gives Humans the Right Signals to Make the Right Calls
Opal begins by giving security and IT teams the visibility and risk intelligence to make informed decisions. Our workflows incorporate usage data, peer benchmarking, and business context—making every approval faster and smarter. Examples: Suggested reviewers based on ownership, usage signals to flag over-provisioned roles and peer group recommendations (“This engineer has 80% of access X”)
Opal Gives Humans the Right Signals to Make the Right Calls
Opal begins by giving security and IT teams the visibility and risk intelligence to make informed decisions. Our workflows incorporate usage data, peer benchmarking, and business context—making every approval faster and smarter. Examples: Suggested reviewers based on ownership, usage signals to flag over-provisioned roles and peer group recommendations (“This engineer has 80% of access X”)
AI Learns From Your Decisions
Over time, Opal learns your patterns—what gets approved, what gets flagged, and why. Our policy engine begins to suggest automations: Auto-approve low-risk, common requests Auto-revoke unused access Escalate only anomalies
AI Learns From Your Decisions
Over time, Opal learns your patterns—what gets approved, what gets flagged, and why. Our policy engine begins to suggest automations: Auto-approve low-risk, common requests Auto-revoke unused access Escalate only anomalies
AI Learns From Your Decisions
Over time, Opal learns your patterns—what gets approved, what gets flagged, and why. Our policy engine begins to suggest automations: Auto-approve low-risk, common requests Auto-revoke unused access Escalate only anomalies
Autonomous Governance: Trust Grows. Involvement Shrinks.
Eventually, you reach a tipping point: Humans no longer need to approve access to well-understood, low-risk systems. You codify intent as policy, and Opal enforces it automatically. Human attention shifts from approvals to strategy—proactively shaping access policies, not reacting to requests.
Autonomous Governance: Trust Grows. Involvement Shrinks.
Eventually, you reach a tipping point: Humans no longer need to approve access to well-understood, low-risk systems. You codify intent as policy, and Opal enforces it automatically. Human attention shifts from approvals to strategy—proactively shaping access policies, not reacting to requests.
Autonomous Governance: Trust Grows. Involvement Shrinks.
Eventually, you reach a tipping point: Humans no longer need to approve access to well-understood, low-risk systems. You codify intent as policy, and Opal enforces it automatically. Human attention shifts from approvals to strategy—proactively shaping access policies, not reacting to requests.
How We Execute
Context-Aware Orchestration
Automatically adapt access based on AI-assisted risk scoring, behavioral signals, and identity types.
Context-Aware Orchestration
Automatically adapt access based on AI-assisted risk scoring, behavioral signals, and identity types.
Context-Aware Orchestration
Automatically adapt access based on AI-assisted risk scoring, behavioral signals, and identity types.
Ownership
Natively supports AI agents and automated workloads with ephemeral access, auditability, and policy enforcement.
Ownership
Natively supports AI agents and automated workloads with ephemeral access, auditability, and policy enforcement.
Ownership
Natively supports AI agents and automated workloads with ephemeral access, auditability, and policy enforcement.
Autonomous Least Privilege
Let Opal continuously learn and enforce least privilege through usage-based rightsizing, without human bottlenecks.
Autonomous Least Privilege
Let Opal continuously learn and enforce least privilege through usage-based rightsizing, without human bottlenecks.
Autonomous Least Privilege
Let Opal continuously learn and enforce least privilege through usage-based rightsizing, without human bottlenecks.
AI-Driven Policy Simulation
Preview policy impacts using AI-powered simulations and receive recommended policy improvements in real time.
AI-Driven Policy Simulation
Preview policy impacts using AI-powered simulations and receive recommended policy improvements in real time.
AI-Driven Policy Simulation
Preview policy impacts using AI-powered simulations and receive recommended policy improvements in real time.
Opal Risk Layer
Empowering Security Leaders with Time-Saving Assistive Tools
Opal AI Risk assist
Prioritized risk alerts
Non-human identities
Actionable Remediation flow
Human oversight
See why the best security teams manage access with Opal
See why the best security teams manage access with Opal
See why the best security teams manage access with Opal
Headquartered in New York City
and San Francisco
235 W 23rd Street, 8th Fl, New York, NY 10011
77 Geary St, 5th Fl, San Francisco, CA 94108
Resources
Customers
© 2025 Perma Security Inc. | DBA Opal Security
Headquartered in New York City
and San Francisco
235 W 23rd Street, 8th Fl, New York, NY 10011
77 Geary St, 5th Fl, San Francisco, CA 94108
Resources
Customers
© 2025 Perma Security Inc. | DBA Opal Security
Headquartered in New York City
and San Francisco
235 W 23rd Street, 8th Fl, New York, NY 10011
77 Geary St, 5th Fl, San Francisco, CA 94108
Resources
Customers
© 2025 Perma Security Inc. | DBA Opal Security