Offensive AI Lab

Q: What's the difference between Verno Labs and a traditional pentest?

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.

Q: How does Verno Labs handle our sensitive data?

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.

Q: What standards and frameworks does Verno Labs map to?

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.

Q: How does Verno Labs fit into our existing stack?

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.

Q: What models and frameworks does Verno Labs support?

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.

Q: How noisy is it? Will it impact production?

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.

Q: What does a finding look like?

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.

Q: How do I deploy Verno Labs?

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.

Verno Labs deploys offensive LLMs against AI agents to uncover security weaknesses before attackers do.

Have public-facing AI agents? Start with a free recon to map the attack surface and identify potential prompt injection opportunities.

Our team brings experience from world-class technology companies

The platform

Test, detect, fix. Continuously.

One platform across adversarial testing, runtime detection, and remediation. Built for enterprises deploying AI agents at scale.

Verno RedAutonomous attack campaigns that plan, execute, and adapt.Explore Platform

Verno GuardCatches attacks in production, in real time, across agents and tool calls.Explore Platform

Verno FixAuto-generated fixes, tracked from finding to closure.Explore Platform

Book a demo

The platform

Test, detect, fix. Continuously.

One platform across adversarial testing, runtime detection, and remediation. Built for enterprises deploying AI agents at scale.

Verno RedAutonomous attack campaigns that plan, execute, and adapt.

Explore Platform

Verno GuardCatches attacks in production, in real time, across agents and tool calls.

Explore Platform

Verno FixAuto-generated fixes, tracked from finding to closure.

Explore Platform

working with tech and security leaders

“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 Pavlakis, CTO

“What sets Verno Labs apart is their deep production experience combined with a cutting-edge research DNA. This positions them perfectly towards delivering a future-proof solution to agentic security.”

Marios Kogias, Assistant Professor

working with tech and security leaders

“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 Pavlakis, CTO

Marios Kogias, Assistant Professor

The intelligence layer

The 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.

The intelligence layer

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 systems

Ask complex security questions in natural language and investigate vulnerabilities, runtime incidents, and adversarial attack chains across your AI systems in real time.

Security becomes conversational

Meet the AI security agent for enterprise systems

Ask complex security questions in natural language and investigate vulnerabilities, runtime incidents, and adversarial attack chains across your AI systems in real time.

Enterprise readiness

Your data, your infrastructure, your control

Verno Labs supports flexible deployment models so you maintain complete control over where your data lives and how it's secured.

Verno Labs deployment options
Implementation	Description	Best for
Self-hosted	Deploy containerized instances within your own data centers or cloud environments (AWS, GCP, Azure).	Enterprises requiring complete data residency and full infrastructure control.
Managed SaaS	Access fully managed, high-availability security infrastructure hosted by Verno Labs.	Teams preferring fully managed infrastructure with automatic scaling and maintenance.

Zero friction setup
Instant protection
Real-time insights

Book a demo

Enterprise readiness

Your data, your infrastructure, your control

Verno 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

Book a demo

See it in action

Take a guided tour of Verno Red

Explore how security teams create campaigns, launch AI attack simulations, investigate findings, and continuously improve their AI security posture.

Book a demo

See it in action

Take a guided tour of Verno Red

Explore how security teams create campaigns, launch AI attack simulations, investigate findings, and continuously improve their AI security posture.

Book a demo

FAQs

What's the difference between Verno Labs and a traditional pentest?

How do Verno Red, Verno Guard, and Verno Fix work together?

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.

How does Verno Labs handle our sensitive data?

What standards and frameworks does Verno Labs map to?

How does Verno Labs fit into our existing stack?

What models and frameworks does Verno Labs support?

How noisy is it? Will it impact production?

What does a finding look like?

How do I deploy Verno Labs?

FAQs

What's the difference between Verno Labs and a traditional pentest?

How do Verno Red, Verno Guard, and Verno Fix work together?

How does Verno Labs handle our sensitive data?

What standards and frameworks does Verno Labs map to?

How does Verno Labs fit into our existing stack?

What models and frameworks does Verno Labs support?

How noisy is it? Will it impact production?

What does a finding look like?

How do I deploy Verno Labs?