Identity Security in the Age of AI
AI is reshaping the enterprise identity layer. SpecterOps helps your organization lean into AI adoption while staying ahead of the risks with tradecraft and research that stays ahead of the latest AI attack modalities, to Attack Path Management that protects critical assets.
The AI security narrative is incomplete
AI is transforming the cybersecurity landscape, but that transformation is more complex than the hype makes it out to be. Adversaries are using AI to scale, refine, and accelerate legacy attack models. Enterprises are using it to introduce new identities, new credentials, and new trust relationships at a pace governance was never designed to handle.
Accelerated Compromise
AI is being used to increase the efficacy of initial identity compromise vectors, making it easier to customize and improve phishing and other schemes designed to get humans to willingly part with credentials and PII.
Scalable Exploitation
AI is being used to accelerate the vulnerability exploitation cycle. As AI makes it easer to obtain a foothold, what an attacker can reach through identity relationships, delegated rights, service accounts, and trust paths determines the blast radius.
Attack Velocity
AI is being used to accelerate existing adversary tools, techniques and procedures (TTPs) such as lateral movement or deploying malware. As the speed of these attacks increases, organizations that rely on detection and response will find themselves too far behind these attacks to effectively stop them in flight.
AI Governance
AI is driving an uncontrolled and rapid adoption of agentic identities. Without clear guidance, these agentic identities can exploited to perpetrate sophisticated, multi-step attacks faster. Enterprises are rapidly expanding attack paths through an explosion of AI agents (non-human identities / NHIs), new credentials, and dense trust relationships.
Accelerated Compromise
Accelerated Compromise
AI is being used to increase the efficacy of initial identity compromise vectors, making it easier to customize and improve phishing and other schemes designed to get humans to willingly part with credentials and PII.
Scalable Exploitation
Scalable Exploitation
AI is being used to accelerate the vulnerability exploitation cycle. As AI makes it easer to obtain a foothold, what an attacker can reach through identity relationships, delegated rights, service accounts, and trust paths determines the blast radius.
Attack Velocity
Attack Velocity
AI is being used to accelerate existing adversary tools, techniques and procedures (TTPs) such as lateral movement or deploying malware. As the speed of these attacks increases, organizations that rely on detection and response will find themselves too far behind these attacks to effectively stop them in flight.
AI Governance
AI Governance
AI is driving an uncontrolled and rapid adoption of agentic identities. Without clear guidance, these agentic identities can exploited to perpetrate sophisticated, multi-step attacks faster. Enterprises are rapidly expanding attack paths through an explosion of AI agents (non-human identities / NHIs), new credentials, and dense trust relationships.
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.
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.
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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