CrowdStrike AI Red Team Services debut

CrowdStrike has launched CrowdStrike AI Red Team Services, which leverage the company's threat intelligence and expertise in real-world adversary tactics. Red teaming refers to trying to attack a company's defences to proactively identify and help mitigate vulnerabilities in AI systems, including large language models (LLMs).

As organisations adopt AI at a rapid pace, new threats such as model tampering, data poisoning, sensitive data exposure, and more, increasingly target AI applications and their underlying data, CrowdStrike said. The compromise of AI systems, including LLMs, can result in a breach of confidentiality, reduced model effectiveness and increased susceptibility to adversarial manipulation, the company noted.

CrowdStrike AI Red Team Services provide organisations with comprehensive security assessments for AI systems, including LLMs and their integrations, to identify vulnerabilities and misconfigurations that could lead to data breaches, unauthorised code execution or application manipulation.

Key features of the service include:

Proactive AI defence

Identifies vulnerabilities in AI systems, in alignment to industry-standard OWASP Top 10 LLM attack techniques, before adversaries can exploit them, enhancing protection against emerging threats.

Real-world adversarial emulations

Delivers tailored attack scenarios specific to each AI application, ensuring systems are tested against the most relevant threats.

Security validation

Provides actionable insights to strengthen the resilience of AI integrations in an evolving threat landscape.

“AI is revolutionising industries, while also opening new doors for cyberattacks,” said Tom Etheridge, Chief Global Services Officer, CrowdStrike.

“CrowdStrike leads the way in protecting organisations as they embrace emerging technologies and drive innovation. Our new AI Red Team Services identify and help to neutralise potential attack vectors before adversaries can strike, ensuring AI systems remain secure and resilient against sophisticated attacks.”

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