SPR{K3 discovers critical vulnerabilities in production AI infrastructure — in the gap between vendor threat models and your actual deployment. 14 CVEs. 7 vendors. 760+ detection patterns built from confirmed findings, not benchmarks.
Three consecutive NVIDIA security bulletins. Microsoft, Amazon, and GitPython advisories. Every CVE links to the vendor's own publication.
SPR{K3 defines the physics of valid behavior across AI infrastructure — valid trust flow, valid provenance, valid execution ordering, valid capability acquisition, valid economic behavior. When something violates those physics, it isn't suspicious. It's impossible.
This isn't theory. The gaming industry solved this exact problem over twenty years. Anti-cheat systems evolved from signature matching to impossible-state detection because signatures couldn't keep pace with adversarial adaptation. AI infrastructure is entering the same transition — and the convergent answer is the same.
Choose the surface that matches your exposure. All powered by the same pattern intelligence.
Scan your ML codebase for supply chain risks, unsafe deserialization, and lineage gaps. Get an audit-ready NIST AI RMF compliance report.
Runtime security for AI agents. Catches orchestration drift, prompt injection, and tool misuse before execution. All detection runs client-side.
Full trust observability. Static, runtime, behavioral, and model health — one continuous signal. NIST AI RMF reporting included.
Perimeter tools protect the network. Vulnerability scanners find code flaws. Nobody monitors the cognitive integrity of your LLM applications.
BrainGuard identifies five distinct attack pattern classes across the AI reasoning layer — validated across 177 ML frameworks. Available as a standalone assessment or continuous monitoring through Defend.
Request a BrainGuard assessment →
Written by Dan Aridor, SPR{K3 Security Research.
RCE in the SageMaker Python SDK JumpStart search flow. Fixed in v3.4.0.
CVE-2026-26030. CVSS 10.0. Remote code execution in InMemoryVectorStore.
LiteLLM supply chain attack across five package ecosystems. 97M+ monthly downloads poisoned.
Newline injection → persistent RCE via core.hooksPath. Found by Ora, fixed in 8 hours.
Columbia Business School — MBA
Lt. Colonel (Res.), Israeli Intelligence Corps — co-headed a counter-intelligence research unit
14 CVEs across NVIDIA NeMo, Megatron-LM, NeMo-Guardrails, Apex
NVIDIA, Microsoft MSRC & Amazon Security Acknowledgements (2025–2026)
Chairman, AEBI-Bio — SoAP biotechnology platform
Founder, inga314.ai & Dan Aridor Holdings Ltd
SPR{K3 Defend is beta software provided "as is" without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, and non-infringement.
Detection patterns reduce risk but do not guarantee the identification of all vulnerabilities. SPR{K3 is not responsible for undetected vulnerabilities or actions taken based on scan results.
Findings are provided for informational purposes and do not constitute legal, compliance, or professional security advice. For critical infrastructure, consult a qualified security professional.
NIST AI RMF compliance reports assist your compliance process. They do not replace a qualified auditor's assessment and should not be relied upon as standalone certification.
SPR{K3 is a product of Dan Aridor Holdings Ltd, Israel. For questions, cancellations, or complaints, contact support@sprk3.com.
Use of SPR{K3 services is governed by our Terms of Service and Privacy Policy, under the laws of the State of Israel.
No technical details shared until scope is agreed and an NDA is in place.
Request a Findings Briefing