NEW YORK - eTradeWire -- Cogensec, developer of the ARGUS Platform, the world's first hyper-intelligent AI agent security and assurance fabric, today announced its acceptance into the NVIDIA Inception program, a global ecosystem supporting AI startups.

The partnership enables Cogensec to leverage NVIDIA's AI infrastructure and expertise to enhance ARGUS's security capabilities, focusing on GPU-accelerated machine learning models for advanced threat detection, behavioral analysis, and real-time security enforcement.

Leading the Future of AI Agent Security

"As AI-driven technologies transform the security landscape, Cogensec is uniquely positioned to lead the charge in protecting autonomous AI agents at scale. Joining NVIDIA Inception empowers us with the industry's most advanced AI infrastructure and expertise to accelerate innovation in AI security. We are excited to enhance ARGUS's capabilities with GPU-accelerated machine learning, delivering unprecedented levels of threat detection accuracy and real-time protection. This partnership will enable us to push the boundaries of enterprise-grade AI security and provide our customers with a future-ready platform they can trust."— Mansoor Malik, Co-Founder and CEO, Cogensec

More on eTradeWire News

• Supporters Can Now Back the Starfighters Academy Vehicle Wrap Campaign — Even Anonymously
• Why Regular Dental Checkups Are Important for Residents in Beaumont
• Why Immediate Action Matters During a Dental Emergency
• Meet and Greet Award Winning Authors Lizzy Stevens and Steve Miller
• The "Unsexy" Business Quietly Creating 130+ New Entrepreneurs Across America — From Alaska to Puerto Rico

Accelerating next-generation AI security

ARGUS provides zero-trust security for autonomous AI agents with seven security layers covering identity, runtime protection, I/O validation, memory compartmentalization, multi-agent coordination, audit trails, and governance. The NVIDIA partnership will accelerate ML capabilities across these layers.

"Enterprise adoption of AI agents is accelerating, but security remains the top barrier. By joining NVIDIA Inception, we can leverage GPU-accelerated ML to deliver threat detection that meets enterprise requirements for accuracy and performance—maintaining sub-10ms latency while improving detection accuracy beyond 95%."— Tarique Smith, Co-Founder and CTO at Cogensec

Strategic benefits

As part of NVIDIA Inception, Cogensec will:

• Enhance ML-powered threat detection: Develop GPU-accelerated models for prompt injection detection, behavioral attestation, and shadow AI detection using NVIDIA NeMo and Triton Inference Server.
• Scale for enterprise workloads: Optimize infrastructure with NVIDIA's AI Enterprise stack to support enterprise deployments while maintaining <10ms p99 latency.
• Access technical resources: Leverage NVIDIA Deep Learning Institute training, cloud credits, and preferred pricing on NVIDIA hardware to accelerate development.
• Build strategic partnerships: Connect with NVIDIA's ecosystem of enterprise customers, partners, and investors to accelerate market adoption.

For financial services, healthcare, technology, and government organizations deploying AI agents, this partnership means:

• Enhanced security: ML models that detect emerging threats beyond signature-based detection
• Proven performance: GPU-accelerated inference maintaining ultra-low latency requirements
• Enterprise credibility: NVIDIA-validated technology meeting enterprise security standards
• Future-ready platform: Access to NVIDIA's latest AI innovations for continuous security improvements

learn more by visiting: https://cogensec.com/news/nvidia-inception-2025

More on eTradeWire News

• Meet and Greet Author Michelle L Crocker
• Meet & Greet Award Winning Author Stacy Walsh
• Veteran Launches GTG Energy: Nicotine-Free Pouch as Americans Rethink Addiction, Focus, and What Fuels Performance
• EU Energy Crisis: Tickeron AI Delivers 133% Annualized Return for Hedge Funds
• HandTrucksRUs.com Highlights the Importance of Window and Door Dollies for Safer Material Handling