Adrian
Open-source runtime security that blocks AI agent threats before execution.
If you're running production AI agents where a single rogue action is costly, Adrian's reasoning-level blocking is a must-consider. The open-source core offers auditability, but self-hosting is on you. Skip it for simple chatbots or static apps; it's built for those who need to stop threats before execution, not just watch.
Verified 3d ago · liveness 71/100 · cite: rightaichoice.com/tools/adrian
- Production AI systems in finance, healthcare, and critical infrastructure
- Multi-agent swarms needing runtime protection against prompt injection
- Security teams embedding shift-left security into CI/CD pipelines
- Edge AI and CNI deployments requiring low-overhead, self-hosted monitoring
- Non-technical users without DevOps support for self-hosting
- Traditional static applications without agentic behavior
- Teams merely prototyping casual chatbots without production risk
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Skip Adrian if you're not running agentic systems in production, if you lack DevOps support for self-hosting, or if you need a fully managed SaaS solution without integration effort.
Self-hosting requires your own infrastructure and DevOps time to deploy, maintain, and scale.
Adrian's open-source Community tier is free, making it accessible for teams that can self-host. For enterprises needing compliance and dedicated support, custom pricing likely aligns with enterprise security budgets. Compared to commercial alternatives like Lakera, Adrian's open-source core offers cost savings for self-sufficient teams, but full-featured enterprise support may be comparable in price.
In short
Adrian — Open-source runtime security that blocks AI agent threats before execution. Best for Production AI systems in finance, healthcare, and critical infrastructure, Multi-agent swarms needing runtime protection against prompt injection, Security teams embedding shift-left security into CI/CD pipelines. Free to use.
What's new in Adrian
Checked yesterdayAcross the latest 1 update: 1 news mention.
What people actually say about Adrian — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
75 mentions across 6 sources (Hacker News, Product Hunt, Bluesky, Stack Overflow, GitHub, Lemmy) · researched Jul 6, 2026.
- +Monitors actual chain-of-thought, not just inputs/outputs of agents.
- +Open-source codebase allows full audit and customization.
- +Blocks prompt injection and policy drift before execution.
- +Supports human-in-the-loop approval for risky actions.
- +Action sandboxing prevents malicious tool use.
- −Fail-open on errors makes it unreliable for security.
- −Sync tool execution bypasses BLOCK/HITL entirely.
- −Dashboard filter mismatch hinders investigation.
- −Very small community limits third-party validation.
- −No evidence of enterprise support or SLAs.
- • Enterprise tier pricing is unlisted; may require sales negotiation.
- • Self-hosting infrastructure costs for open-source version.
Viability Score
How well maintained and how widely used is Adrian? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Chain-of-thought monitoring
- Prompt injection detection before execution
- Policy violation blocking
- Malicious tool use prevention
- Human-in-the-loop approval workflows
- Action sandboxing
- Behavioral intelligence and contextual analysis
- Agent-aware monitoring
- Low operational overhead integration
- Self-hosted open-source core
- Shift-left security for agent pipelines
- Integration with agent frameworks
- Pause, approve, or sandbox responses
- Behavioral interrogation techniques
- Enterprise-grade controls
About Adrian
Adrian, from Secure Agentics, is an open-source runtime security toolkit designed to protect AI agents at the deepest level: their reasoning. Instead of only inspecting inputs and outputs, Adrian deploys inside the agent, using a reasoning engine to review the internal chain of thought and identify malicious plans before they execute. This catches prompt injection, policy violations, and out-of-remit reasoning that conventional I/O filters miss. It's built for production teams running autonomous agents, multi-agent swarms, edge AI, and critical infrastructure, where a single rogue action can have costly consequences. Adrian works by connecting to your agent framework or orchestration layer in minutes. It enhances input/output flows with behavioral and contextual signals, applies behavioral interrogation to detect manipulation and drift, and then lets you choose the response: pause the agent, require human approval, or sandbox the action. Nothing runs until you say so. This 'block, not just watch' approach sets it apart from passive monitoring tools that only flag issues after the fact. The platform is engineered with an enterprise-first mindset, emphasizing long-term reliability and responsible deployment. It earned an Honorable Mention in the Black Hat 2026 Startup Spotlight, recognizing its approach to agentic security. The open-source core supports shift-left security, letting teams embed protection early in the development pipeline. Adrian is self-hosted, with a free Community tier on GitHub for open-source users, and enterprise options for larger organizations. Adrian isn't for static applications or casual prototypes; it's purpose-built for teams that need proactive, reasoning-aware security in production. Compared to alternatives like Lakera or Robust Intelligence, which focus on input/output filtering, Adrian goes deeper by policing the agent's internal thinking, addressing the architectural challenge of prompt injection at its source.
Behind the Verdict
Adrian tackles the gap most AI security tools ignore: the agent's internal plan. Traditional filters check inputs and outputs, but Adrian's reasoning engine reviews the chain of thought and blocks threats before execution. That's the difference between a guard at the door and a guard inside the vault. We'd reach for this when running multi-agent swarms or any autonomous system where a bad action can't be undone. The 'block, not just watch' approach means you can pause, require human approval, or sandbox actions — practical controls that fit real workflows. Where it bites: self-hosting is a requirement. There's no managed SaaS, so you'll need DevOps chops to deploy and maintain it. Small teams or those without dedicated security infrastructure may find the overhead heavy. Compared to Lakera or Robust Intelligence, which focus on I/O filtering, Adrian goes deeper. It's not a replacement for those tools but a stronger layer for reasoning-aware defense. In practice, Adrian shines in regulated environments like finance, healthcare, and CNI where you need to demonstrate responsible AI deployment. The Black Hat 2026 Honorable Mention adds credibility, but don't let that alone sway you—verify it fits your stack. For casual prototypes or static apps, skip it. But if you're building production AI agents where a single rogue action is costly, Adrian is worth integrating.
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Real-world workflow fit
Concrete scenarios for the personas Adrian actually fits — and what changes day-one when you adopt it.
Needs to deploy protection for an AI agent that handles financial transactions. Wants to ensure prompt injection can't cause unauthorized transfers.
Outcome: Integrates Adrian with their agent framework, sets up policies to block any tool calls outside predefined categories, and configures human approval for high-value transactions. Gains real-time chain-of-thought monitoring and blocks malicious actions before execution.
Manages a multi-agent system for patient data processing. Needs to audit all agent decisions for compliance with HIPAA and internal policies.
Outcome: Uses Adrian to log all chain-of-thought and tool calls, with alerts sent to their SIEM (e.g., Splunk). Sets up policy rules to block any access to unapproved data sources. Achieves auditability and policy enforcement without slowing development.
Use Cases
- Block prompt injection attacks in real time before your agent executes harmful actions.
- Enforce custom security policies on agent tool use and decision-making.
- Monitor multi-agent swarms for policy violations and malicious coordination.
- Audit agent chain-of-thought for compliance in regulated environments.
- Integrate agent security alerts into existing SIEM and SOAR workflows.
- Shift-left security into agent development pipelines with CI/CD integration.
Limitations
- Adrian is an open-source runtime security toolkit that requires integration into your agent infrastructure, and its effectiveness depends on the agent frameworks and orchestration layers you use.
- As a relatively new tool (2025-2026), its ecosystem and community support are still maturing.
- Self-hosted deployment may require DevOps expertise and infrastructure management.
- While it offers enterprise-grade controls, the full range of features may be available in higher-tier plans.
as of 2026-08-23
Verification history
We have re-verified Adrian 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Adrian tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source (Community)
$0
Ideal for
Independent developers and small teams who want to self-host and are comfortable with limited support, perfect for shift-left security in internal pipelines.
What this tier adds
Free entry point with the core self-hosted toolkit, community support, and no enterprise features.
Enterprise
Custom
Ideal for
Large organizations in regulated industries (finance, healthcare) that need advanced controls, compliance support, and dedicated assistance.
What this tier adds
Adds enterprise-grade controls, regulatory compliance support, and dedicated support on top of the open-source core.
Where the pricing makes sense
The company stage and team size where Adrian's pricing actually pencils out — and where peers do it cheaper.
Adrian's open-source Community tier is free, making it accessible for teams that can self-host. For enterprises needing compliance and dedicated support, custom pricing likely aligns with enterprise security budgets. Compared to commercial alternatives like Lakera, Adrian's open-source core offers cost savings for self-sufficient teams, but full-featured enterprise support may be comparable in price.
Setup time & first value
How long it actually takes to get something useful out of Adrian — broken out by persona, not the marketing-page minute.
For a security engineer familiar with the agent framework: minutes to integrate the SDK, plus a few hours to configure policies and test responses. For a team without prior Adrian experience, expect a day to set up and fine-tune for production.
Switching to or from Adrian
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Lakera: Replace I/O-only filtering with Adrian's chain-of-thought monitoring by integrating the agent framework and migrating policy rules to Adrian's format.
- ↗To Lakera: If you need only I/O filtering and a managed SaaS, you can replicate basic alerts but lose reasoning-level detection.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Featured Head-to-Head Comparisons
Adrian vs Sublime Security
Choose Adrian if you need runtime security for AI agents—especially autonomous systems in production—and want an open-source, low-overhead toolkit. Choose Sublime Security if your primary concern is advanced email threats like BEC/VEC and you need deep integration with Microsoft 365 or Google Workspace with custom detection rules.
Adrian vs Push Security
Choose Push Security if your priority is securing employee browser usage against AI-powered phishing, session hijacking, and data leakage to AI tools. Choose Adrian if you're building autonomous AI agents and need runtime monitoring of their chain-of-thought to catch prompt injection or policy drift. They solve different problems: human security vs. agent security.
Adrian vs Audioeye
Choose Adrian if you're building autonomous AI agents and need runtime security to catch prompt injections and policy violations before they execute. Choose AudioEye if your priority is achieving ADA/WCAG compliance quickly with automated scanning and legal backup — they serve completely different needs.
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