AI Application Cybersecurity (AIAC) secures the application layer of AI systems—where machine learning models, APIs, and end-user interactions converge. As AI becomes embedded into business workflows, the attack surface expands to include model manipulation, data exposure, and adversarial prompts.
Gartner notes that traditional AppSec tools can’t fully address AI threats such as prompt injection, model inversion, and training data poisoning. AIAC bridges this gap by combining proven cybersecurity techniques with AI-specific defenses.
Core elements of AI Application Cybersecurity include:
AIAC is critical as enterprises operationalize AI at scale. It ensures that intelligent applications meet both cybersecurity and governance requirements, reducing exposure to adversarial threats and regulatory penalties.
PointGuard AI delivers comprehensive AI Application Cybersecurity through continuous monitoring, runtime protection, and policy-driven enforcement. It inspects every AI interaction—from model input to output—to detect prompt injection, data leakage, and adversarial manipulation.
The platform integrates with existing AppSec and cloud security tools, providing model-specific telemetry and risk insights. By correlating AI threats with user identity and application context, PointGuard helps security teams prioritize and respond faster.
With PointGuard, organizations gain a unified, defense-in-depth approach to protecting AI-enabled applications—ensuring that innovation remains secure, resilient, and compliant.
Learn more: https://www.pointguardai.com/ai-application-cybersecurity
Related: AI Security Platform, AI Usage Control
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