CrowdStrike has announced its participation in the Open Secure AI Alliance (OSAIA), an industry-led initiative aimed at establishing standardized security protocols for artificial intelligence. This move joins CrowdStrike with other industry leaders including NVIDIA and Google to address the growing security gap in AI deployment. According to CrowdStrike, the alliance focuses on providing organizations with the tools and frameworks necessary to secure AI applications throughout their lifecycle, from development to production.
Securing AI Model Supply Chains and Infrastructure
The integration of AI into the enterprise tech stack introduces novel risks that traditional security frameworks are not fully equipped to handle. A significant concern for modern security operations centers is a Supply Chain Attack targeting AI models, where malicious actors compromise pre-trained models or training datasets. By joining OSAIA, CrowdStrike intends to contribute its telemetry and threat expertise to help define what AI safety and security standards should look like for the broader ecosystem.
These standards are intended to help organizations verify the integrity of their AI models. Without clear industry benchmarks, companies often deploy AI in a vacuum, lacking the visibility to detect when a model has been tampered with or when it is being used to facilitate Lateral Movement within a network. The initiative seeks to bridge this gap by creating interoperable security layers that can be integrated into existing EDR and SIEM platforms.
Mitigating AI-Driven Threats and Adversarial Attacks
One of the primary technical challenges facing the SOC is detecting adversarial AI attacks. These attacks involve sophisticated techniques such as prompt injection, where an attacker crafts specific inputs to bypass the safety guardrails of a Large Language Model (LLM). This can result in unauthorized data exfiltration or the generation of malicious code. CrowdStrike’s involvement in OSAIA aims to formalize the TTP documentation for these AI-specific threats, potentially leading to new entries in the MITRE ATT&CK framework tailored to AI environments.
Furthermore, the alliance will work on defending against AI-generated Phishing and Ransomware campaigns. By automating the creation of highly personalized social engineering lures, attackers can increase the success rate of initial access attempts. Establishing a unified defense strategy allows vendors to share IoC data related to AI-driven campaigns more effectively.
Implementing a Zero Trust Framework for AI
The alliance emphasizes the importance of applying a Zero Trust architecture to AI workloads. This involves verifying every request made to an AI service, regardless of whether it originates from inside or outside the corporate perimeter. As organizations scale their use of AI, the attack surface expands, making it harder to track every API call or model interaction.
Security professionals should prioritize securing AI model supply chains by implementing cryptographic signing for models and rigorous access controls. By treating AI models as high-value assets, organizations can prevent Privilege Escalation through compromised AI interfaces. CrowdStrike’s role in OSAIA will likely influence how future CVE disclosures are handled for AI vulnerabilities, ensuring that when a flaw is found, the industry has a standardized way to communicate the CVSS impact and remediation steps.