Your data guardian in the age of Gen AI agents

Generative Security protects customers’ Generative AI agents against industry-specific threats, accelerating their time to value while reducing more than just technology risk.

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GenR3d LLM Security Analyser

Industry Threat Library

Dozens of industry-specific Abuse Cases ready on Day 1.

For organizations without internal threat modeling teams, we provide and test against real-world attacks specific to your industry. This safeguards your important business data instead of testing against generic prompts.

Novel Customization

Automatically tailor prompt testing to your exact use cases.

Whether your chatbot is helping customers purchase shoes or is providing recommendations, our Abuse Cases are adapted to the services your chatbot delivers. You can also curate your own company threat library with us.

Built For Integration

Fully API-driven to integrate with your AI/ML deployment pipelines.

Empowering developers to deploy the most secure generative AI solutions, testing is automated throughout the development lifecycle. As models are retrained, dependencies are updated, or new data introduced, you remain protected.

Industry Threat Library

Dozens of industry-specific Abuse Cases ready on Day 1.

For organizations without internal threat modeling teams, we provide and test against real-world attacks specific to your industry. This safeguards your important business data instead of testing against generic prompts.

Novel Customization

Automatically tailor prompt testing to your exact use cases.

Whether your chatbot is helping customers purchase shoes or is providing recommendations, our Abuse Cases are adapted to the services your chatbot delivers. You can also curate your own company threat library with us.

Built For Integration

Fully API-driven to integrate with your AI/ML deployment pipelines.

Empowering developers to deploy the most secure generative AI solutions, testing is automated throughout the development lifecycle. As models are retrained, dependencies are updated, or new data introduced, you remain protected.

Why Generative Security?

Today, enterprises lack the necessary tools to have confidence and assurances that their bots aren’t oversharing and putting their business at risk. To help them get value out of their generative AI solutions faster, our GenR3d LLM Security Analyzer platform delivers visibility into the threats your generative AI powered solutions will face, and alerts you to vulnerabilities before they are exploited by bad actors. Armed with suggested mitigations and the ability to test in the real world, the GenR3d platform ensures the information shared between end users and generative AI-powered bots cannot be abused, accelerating your ability to deliver new customers experiences with confidence.

While others in the market focus on generic attacks and represent resilience and operational risk by putting themselves between you and your customers, the GenR3d platform empowers your developers to test against industry specific threats targeting your use case specific data. Leveraging these tests and reports to improve their protections, developers can then get security buyoff quicker and deliver real value faster and more securely.

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Delivering Impact – Not F.U.D

Business Value

You only get value from your gen AI investments once they’re in customer’s hands. We empower development and security teams with the information, tools, and reports to get there faster while still driving secure outcomes.

Real Security

Instead of focusing on generic technology attacks, we provide insight into attacks against your specific use cases and industry, so you can make informed decisions to balance risk and customer outcomes

Visibility

We all know you can’t secure what you can’t see, so we focus on providing insights into threats to your chatbots early in the development lifecycle, so risks can be triaged and properly acted upon.

Integration

Fully API-driven for scan execution and reporting, we integrate into deployment testing pipelines and deliver audit-ready pdf’s and JSON-based, atomic findings to integrate into bug tracking systems.

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Audit-Ready Reporting

Understanding what threats your chat bot faces in the real world is more nuanced than simply defining the chatbot as Safe vs. Un-safe. The GenR3d LLM Security Analyzer platform provides complete insight into the attacks that match up to your chatbot’s use cases, how they were evaluated, the types of data of data at risk, and whether or not the attack was successful along with evidence. We also provide recommendations on mitigation actions to implement before going to production to remediate the risks.

This report is perfect for security teams to sign-off on and archive for audits when regulations like the EU AI Act look for compliance with security testing.

Developer Friendly Actionability

Developers aren’t looking for another PDF to read though when they are building and updating their generative AI applications. That’s why all the findings are available in atomic JSON that can be called via API and integrated into ticketing systems or bug trackers. Evidence can be parsed for accuracy, severity can be defined by the finding or using custom logic based on data classification risk, and more.

So while Security teams need the regulator-friendly report, developers can quickly act on more targeted information.

Our Founder

Michael Wasielewski

Michael Wasielewski is the founder and lead of Generative Security. With 20+ years of experience running Capgemini’s global strategies for Cloud and Generative AI Security, helping Amazon Web Services (AWS) customers move fast and be secure as a Principal Security and Compliance Specialist, running a global security team for Abt Associates, and leading networking efforts and teams at Lockheed Martin, Michael brings a holistic perspective to new technologies. Now working on generative AI, Michael connects the dots between the organizational, technical, and business impacts of generative AI security.

Michael originally hails from New Jersey and spent 30+ years up and down the East Coast. Now located in Sydney, Australia after a few years in Paris, France, Michael brings a global approach to problem solving and meeting customers where they are – capability wise and geographically.

How are you empowering your customers with generative AI?

As you power your customer experiences using generative AI, if you want to ensure your data is secure, and not just poke at the technology, we’re here for you.

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Starter Trial

Experiment for 30 Days

Single user
1 Registered chatbot
Unlimited scans
Unlimited API calls
3-5 business day support over email

First 30 days, unlimited chatbots and 1 business day support.

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SMB Access

For More Mature Orgs

15 users
5 Registered chatbots
Unlimited scans
Unlimited API calls
2 business day support over email

First 30 days, unlimited chatbots and 1 business day support.

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Enterprise Licensing

Unlimited Access

Unlimited users
Unlimited chatbots
Unlimited scans
Unlimited API calls
9-5 support over email with 1 day initial response
Optional annual fee for 2 hour response time support and 5 hours consulting support

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Need help getting started?

Contact us for help if you’re unsure about getting the right governance, processes, or risk analysis in place with Generative AI solutions.
We’ll bring our and our partner’s expertise to bear for you.

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Published Blogs

2026: Turning the Page from Curiosity to Confidence (and seeing you at NRF'26!)

Welcome everyone to 2026! Let’s jump straight to the punchline: 2026 is the year the "sandbox" phase of Generative AI ends for the enterprise. For the last two years, vendors, providers, and executives have talked about what AI could do. As 2025 came to a close, and into 2026, the conversation has shifted to what […]

The practical application of Assume Breach and Agentic AI with Lee Newcombe

In last week’s blog, Agentic Architectures: Securing the Future of AI with Zero Trust, we discussed the critical role of Zero Trust in securing agentic AI architectures. As part of that, we introduced a few critical practices, including the principle of “Assume Breach”. This practice, or tenet, demands that every interaction within a component-based design, […]

Agentic Architectures: Securing the Future of AI with Zero Trust

If you believe the hype, the evolution towards agentic architectures promises a revolution in generative AI’s ability to deliver on complex activities. We introduce what an agentic, tool-based architecture might look like in our lessons from container security blog, and in our blog about Trust in the age of agentic tools, we touch on the […]

Digital Identities: Unifying identity for the human and AI workforce

There’s an open question among generative AI proponents right now about just how the technology will be a part of the workforce of the future. Will the technology be used primarily to support teams of people to achieve their outcomes more efficiently or effectively, or will the technology serve as an independent actor in and […]

Trust, or the lack thereof, in the age of agentic tools

Last week we talked a bit about how modern agentic architectures can impact the security dynamic in our blog Accelerating generative AI security with lessons from Containers. A future where a core agent can call and utilize agent-powered “tools” is already researched and deployable using the Model Context Protocol. But as we build this future, […]

Red Teaming’s attempt to go mainstream with generative AI

When you think about foundational security, red teaming is often simply not on the list. According to the Ponemon Institute in 2023, only 64% of organizations use red teaming, and most testing is done using tabletop exercises instead of live environment attacks. Look at the AWS Well Architected Security Pillar; security simulations are found in […]

Accelerating generative AI security with lessons from Containers

A few weeks ago we talked about the top 3 lessons generative AI security can learn from the cloud. And just as generative AI is having its cloud moment, there’s still more we can learn from the evolution of security in other technologies. If you look at the lessons from cloud, a lot of the […]

Unlock Gen AI Value Faster by Making Security Your Ally

Let’s jump to the punchline – business leaders and AI developers are in the unique position to prove they have considered meaningful security in their generative AI powered applications before security teams have fully defined the technical controls. How? By strategically focusing security considerations on tangible risks to the application use cases and their outcomes. […]

Top 3 lessons generative AI security can learn from the cloud

For anyone who’s been in the industry for a while, we know that IT is cyclical. The technology changes, but the patterns remain the same. During the early cloud days, I heard from former COBOL and Unix programmers about the progression from renting time on early mainframes to personal computers, and back to running on […]

RSAC 2025 – Wait, there’s more to security than gen AI?

Although originally not part of the plan (there’s a plan?), I was able to attend RSAC 2025 and see a couple of talks and hit the expo floor. I have to be honest; it was nice to see something, anything, not directly pushing generative AI hype (*cough* Google Next *cough*). Now don’t get me wrong, […]

Deeper dive – Gen AI In Security: Gen AI powered threats

In our previous discussions, we delved into the platform-level risks, systemic-level risks, and the empowerment of security through generative AI. Now, let’s explore the darker side of this powerful technology: generative AI-powered threats. This topic is crucial as it highlights the potential misuse of generative AI in creating sophisticated and automated cyber-attacks. We’ll cover four […]

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