Verno Labs
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Offensive security for AI agentsVerno Labs deploys custom offensive LLMs against your AI agents across text, voice, and multimodal interactions, finding the vulnerabilities attackers will exploit first. Built for enterprises running autonomous AI at scale.
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Our team brings experience from world-class technology companies
MicrosoftAWSExpedia Group
KingOnJust EatWorkable
The platform
Test, detect, fix. Continuously.One platform across adversarial testing, runtime detection, and remediation. Built for enterprises deploying AI agents at scale.
Verno Red
Verno RedAutonomous attack campaigns that plan, execute, and adapt.
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Verno Guard
Verno GuardCatches attacks in production, in real time, across agents and tool calls.
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Verno Fix
Verno FixAuto-generated fixes, tracked from finding to closure.
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securing leading companies
BG“Verno Labs gives us peace of mind for our agents without pulling a single engineer off the roadmap. Our team stays focused on improving the product.”
Stratos PavlakisStratos Pavlakis, CTO
Nofire“The value of Verno Labs is early detection of malicious action, strengthening and complementing our existing controls.”
Panos MoustafellosPanos Moustafellos, CTO
The intelligence layerThe Verno Labs platform continuously learns from adversarial behavior across red teaming, runtime, and production. Every attack, every incident, every defense feeds the engine that powers offensive testing, runtime detection, and remediation.
Custom offensive LLMsTrained on proprietary adversarial data. The engine that finds what generic red teaming misses.
Autonomous attack discoveryContinuously discovers attack strategies, exploit chains, and emerging vulnerabilities against AI agents.
Text, voice, multimodalAdversarial coverage across every modality your AI agents touch. From conversational interfaces to voice and multimodal pipelines.
Production-grade telemetryLive attack signals from real customer environments continuously enrich the engine.
Proprietary attack taxonomyMaps AI-specific threats, exploit chains, and adversarial behaviors. Continuously updated as new techniques emerge.
Proprietary adversarial dataOriginal attack research, structured into datasets that power Verno and set the benchmark for AI red teaming.
Security becomes conversational
Meet the AI security agent for enterprise systemsAsk complex security questions in natural language and investigate vulnerabilities, runtime incidents, and adversarial attack chains across your AI systems in real time.
AI security agent interface
Enterprise readiness
Your data, your infrastructure, your controlVerno Labs supports flexible deployment models so you maintain complete control over where your data lives and how it's secured.
Self-hosted
DescriptionDeploy containerized instances within your own data centers or cloud environments (AWS, GCP, Azure).
Best forEnterprises requiring complete data residency and full infrastructure control.
Managed SaaS
DescriptionAccess fully managed, high-availability security infrastructure hosted by Verno Labs.
Best forTeams preferring fully managed infrastructure with automatic scaling and maintenance.
Zero friction setup
Instant protection
Real-time insights
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FAQs
Traditional AI pentests are point-in-time, manual, and rarely repeatable. Verno Labs runs continuously, finds critical vulnerabilities in under 52 hours, and produces structured findings tied to OWASP LLM, OWASP Agentic, and MITRE ATLAS. Every campaign is reproducible and audit-ready.
They form a closed loop around your AI agents. Verno Red continuously probes your agents with adversarial scenarios to surface vulnerabilities before they reach users. Findings flow into Verno Fix, which generates targeted remediations — prompt adjustments, policy updates, or guardrail configurations — that your team can review and ship. Once deployed, Verno Guard enforces those protections in production and monitors live traffic, feeding any new edge cases it catches back into the loop.
Verno Labs operates in your environment (managed or self-hosted) with customer-isolated data. Prompts, responses, and findings stay scoped to your org. We don't use your data to train models for other customers.
Every finding is tagged with OWASP LLM Top 10, OWASP Agentic Security, MITRE ATLAS, and CWE references. Defensible in audits, aligned with the frameworks your board already understands.
Investigate findings inside Verno Labs's dashboards and AI security agent, or flow them into Jira, Slack, and your SIEM. Severity, impact, reproduction steps, and remediation guidance attached to every finding.
Any agent reachable through any interface, including LLM APIs, email clients, voice stacks, and custom endpoints. Tested across OpenAI, Anthropic, Google, Mistral, DeepSeek, and self-hosted models. Framework-agnostic: works with LangChain, LangGraph, custom orchestration, voice stacks, and multimodal pipelines.
Configurable. You set the rate, the surface area, and whether tests hit production, staging, or sandboxed traffic. Most customers run high-intensity campaigns in staging and continuous low-intensity probing in production.
Severity, OWASP and MITRE tags, full attack trace, reproduction steps, and prioritized remediation guidance. Investigate inside the Verno Labs console, or ship findings to Jira, Slack, or a webhook.
Two paths. Managed: connect your agent endpoints via API and we run campaigns against them. Self-hosted: deploy our offensive engine in your environment for fully isolated testing. Setup takes hours, not weeks.