SandboxAQ Introduces AI-Driven Security Posture Management
Addressing the AI Blind Spot in Cybersecurity
SandboxAQ, an innovator in the realm of AI-driven cybersecurity, has launched its AI Security Posture Management (AI-SPM) solution. This cutting-edge offering is designed to enhance visibility within organizations’ technology stacks by pinpointing where AI is being utilized and evaluating associated risks such as exploitable vulnerabilities, insecure dependencies, and exposure to threats like prompt injection, data leakage, and unauthorized access. This solution aims to mitigate the risks associated with the increasingly prevalent phenomenon of ‘shadow AI’ before they give rise to significant security breaches.
The Current Landscape of AI Security Assessments
Recent research conducted by SandboxAQ sheds light on a concerning trend in enterprise security. While 79% of organizations have implemented AI in their operations, a staggering 72% have never performed a comprehensive AI security assessment. Alarmingly, only a mere 6% have established a thorough, AI-centric security strategy. Among those surveyed, more than half expressed acute concerns regarding the exposed credentials and secrets within their AI frameworks, yet only 39% have tools dedicated to mitigating these risks. Such gaps in security awareness are particularly troubling, especially given recent reports of state-sponsored hackers exploiting commercial AI models for extensive cyber-espionage maneuvers targeting large corporations and government entities. The findings underscore a critical demand for heightened visibility and tailored security controls focused on AI functionality.
Insights from Leadership
Jack Hidary, the CEO of SandboxAQ, emphasized the urgency of tackling these vulnerabilities. He stated, “AI is transforming many industries while simultaneously expanding the attack surface faster than traditional security tools can manage.” He further noted that attackers are increasingly leveraging AI tools to extract confidential information, manipulate internal systems, and execute large-scale breaches. Hidary stressed that without clear visibility of how AI is operating within an organization, security teams may be navigating a minefield without a map.
The Features of AQtive Guard’s AI-SPM Offering
The newly launched AQtive Guard’s AI-SPM solution empowers organizations to comprehensively discover, analyze, and secure their entire AI ecosystem—from the models used to the applications and data they interact with. Unlike conventional security posture management tools, which often fall short when addressing AI-specific threats, SandboxAQ’s offering employs advanced cryptographic scanning technology tailored for AI systems. This allows for deep inspection to uncover hidden AI assets, providing security teams with a holistic, code-to-cloud view of AI-related risks.
Key Features Include:
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Discover AI Assets (Cloud to Code): Automatically identify all AI-related assets within the organization, which encompasses models, agents, and machine communication protocol (MCP) servers.
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Assess AI Asset Risks: Evaluate these assets to identify exploitable vulnerabilities, insecure dependencies, and exposure risks like prompt injection and data leakage.
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Enforce AI Policies and Compliance: Implement governance frameworks and custom access controls to ensure AI technologies adhere to internal standards and applicable regulatory requirements.
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Monitor, Detect, and Respond to Threats: Continuously observe AI pipelines to spot anomalies or attacks and manage incidents effectively.
Availability
Currently, AQtive Guard’s AI-SPM offering is available to a select group of customers, with a broader rollout anticipated in 2026. This early access phase aims to refine the solution further and ensure it meets the pressing needs of organizations grappling with AI-related security challenges.
Conclusion
As AI technologies proliferate across various sectors, the need for robust and specialized security measures becomes ever more critical. SandboxAQ’s AI-SPM solution represents a proactive step toward securing AI systems from potential breaches, enabling organizations to navigate the complexities of an increasingly AI-integrated world with greater confidence.
