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Deepfence has introduced new capabilities for its cloud native application protection platform (CNAPP), ThreatStryker, focusing on providing runtime protection and API security for generative AI applications. Leveraging advanced eBPF technology, ThreatStryker offers full traffic and application layer visibility to large language models (LLMs) and detection/response based on industry-standard frameworks like OWASP Top 10 and MITRE ATLAS TTPs. This enhancement allows customers to secure workloads across generative AI and API security use cases, reducing Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).
As the demand for robust security solutions for generative AI technology grows, ThreatStryker stands out by offering real-time detection and response to adversarial threats targeting GenAI applications. Unlike other solutions limited to AI Security Posture Management (AISPM), Deepfence's CNAPP provides deep traffic analysis on encrypted payloads entering and exiting LLM applications, aligning with industry standards and ensuring data integrity and confidentiality. The new capabilities include advanced monitoring with eBPF technology, alignment with industry standards like MITRE ATLAS and OWASP, comprehensive protection against traditional and novel threats, and rapid detection/response to common LLM attacks.
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