Secure your AI Enterprise

Traditional detection and response is too reactive in an AI world. As timelines shrink, resilience depends on containment. SpecterOps helps your organization lean into AI adoption while staying ahead of the risks. Our tradecraft and research keeps you up-to-date with the latest AI attack modalities, while our technology helps you eliminate attack paths to limit blast radius and protect critical assets.

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Agentic AI exponentially increases the number of enterprise identities

Delegated rights and trust relationships become the primary attack surface.
Identity Attack Path Management is a structured approach to disrupting how adversaries exploit identity trust chains to seize control of critical systems and data. Security and Identity teams can now join forces through the power of industry-leading tradecraft, training, and technology.

Advancing Tradecraft with Frontier AI Models

SpecterOps models enterprise environments the way attackers do. We don’t look at intended access. We show you where the rules bend and break.

That’s why we’re proud to be among the inaugural cohort of participants in OpenAI’s Trusted Access for Cyber program. This access to the GPT-5.4-Codex frontier model helps us research, understand, and model trust relationships with speed and scale. We build these learnings back into BloodHound Enterprise, giving defenders the edge.

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Enterprise Cyber Ranges for AI

As AI models grow more sophisticated, governments and enterprises need rigorous environments to test model capabilities for both blue teams and red teams.

SpecterOps delivers enterprise-scale cyber ranges for AI that provide standardized evaluation environments with known completion paths combined with the realism necessary to validate AI model capabilities under production-like conditions. Designed by leading attack path exploitation experts, our ranges deliver the complexity and scale necessary for rigorous assessment.

AI Red Team Engagements

Expose hidden safety and security threats across the entire lifecycle of artificial intelligence (AI) systems with our AI Red Team assessments. Our experts evaluate AI systems during the design, development, deployment, and operations stages, focusing on model evaluations, supporting identity and infrastructure assessments, and production application testing through these stages. Our adversarial approach ensures that security principles are effectively applied to emerging technologies like machine learning, large language models, generative AI, and agentic workflows.

Listen to Russel Van Tuyl on Soap Box: Red teaming AI systems with SpecterOps.

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AI Identity Attack Path Management

110 million identities. Five billion trust relationships. 650 billion attack paths. Attack paths are exponential to identities, and agentic AI is exploding the identity landscape. It’s not enough to answer “who has intended access.” Defenders need to know what happens when that access is abused.

BloodHound Enterprise continuously maps how effective privilege forms across hybrid human-machine environments, identifies choke points that enable escalation, and removes the most critical paths before they can be abused.

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