CrowdStrike launches AI Red Team for AI security threats
CrowdStrike has introduced its AI Red Team Services, designed to help organisations assess and secure their AI systems against emerging threats such as model tampering and data poisoning.
The service launch aims to equip organisations with the means to defend their AI technologies through CrowdStrike's expertise in threat intelligence and adversary tactics. As AI becomes increasingly integral to various sectors, the emerging threats targeting AI applications necessitate robust security measures.
"AI is revolutionizing industries, while also opening new doors for cyberattacks," said Tom Etheridge, Chief Global Services Officer at CrowdStrike. "CrowdStrike leads the way in protecting organizations as they embrace emerging technologies and drive innovation. Our new AI Red Team Services identify and help to neutralize potential attack vectors before adversaries can strike, ensuring AI systems remain secure and resilient against sophisticated attacks."
The service includes proactive identification of vulnerabilities in AI systems, aligned with the industry-standard OWASP Top 10 LLM attack techniques, which seek to mitigate risks before they can be exploited. Moreover, the service offers real-world adversarial emulations, delivering tailored attack scenarios specific to each AI application.
CrowdStrike's AI Red Team Services also provide comprehensive security validation, offering actionable insights to fortify AI integrations against an evolving threat landscape. This is further supported by red team exercises and penetration testing, alongside innovations from the Falcon platform.
With the rise of AI-based threats including data exposure and potential manipulation, such security measures become essential. The aim is to safeguard AI applications, including Large Language Models (LLMs), against issues that could lead to breaches of confidentiality and reduced model effectiveness.
As organisations continue to adopt AI technologies rapidly, CrowdStrike's AI Red Team Services endeavour to ensure their AI systems remain protected from vulnerabilities and misconfigurations that could result in data breaches or unauthorised operations.