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Criminal IP ASMCriminal IP's Attack Surface Management (ASM) is an intelligence-driven platform designed to continuously identify, catalog, and oversee all internet-connected assets linked to an organization, including overlooked and shadow resources, enabling teams to understand their actual external exposure from the perspective of potential attackers. This solution integrates automated asset detection with open-source intelligence (OSINT) methods, artificial intelligence enhancements, and sophisticated threat intelligence to reveal exposed hosts, domains, cloud services, IoT devices, and other internet-facing entry points, while also collecting evidence such as screenshots and metadata, and linking findings to known vulnerabilities and attacker techniques. By evaluating exposures through the lens of business relevance and risk, ASM emphasizes vulnerable elements and misconfigurations, providing instantaneous alerts and interactive dashboards that facilitate quicker investigations and remediation efforts. Furthermore, this comprehensive tool empowers organizations to proactively manage their security posture, ensuring that they remain vigilant against emerging threats.
Description
GPT-6 Cyber is a specialized artificial intelligence model developed by OpenAI for advanced cybersecurity research, vulnerability discovery, and authorized offensive security testing. The model combines frontier reasoning capabilities with cybersecurity-specific training to identify software weaknesses, investigate attack paths, and validate exploitable vulnerabilities. Its autonomous research capabilities allow security professionals to analyze complex codebases, reproduce known vulnerabilities, discover previously unknown flaws, and develop working proof-of-concept exploits. GPT-6 Cyber also assists with secure code reviews, vulnerability triage, patch generation, and verification of security fixes. During OpenAI's security research, the model helped identify 81 previously unknown high-severity vulnerabilities in Firefox and develop working exploits for 948 Linux kernel vulnerabilities. Its ExploitGym benchmark score of 48.5% represents a substantial improvement over GPT-5.6 Cyber's 32.1% result. Specialized alignment training helps the model follow rules of engagement, respect authorized testing boundaries, and avoid accessing unrelated systems during security investigations. Additional safeguards include cyber-specific activity monitoring, sandboxing recommendations, access restrictions, and controls designed to prevent harmful use against critical infrastructure. GPT-6 Cyber is available to selected approved customers through OpenAI Daybreak Red, with API and Codex access supporting advanced defensive research, vulnerability validation, and security testing workflows.
Description
NVIDIA Nemotron 3.5 Super VL is a multimodal foundation model developed for AI agents that require reasoning, visual understanding, coding, and multistep task execution. Its 120-billion-parameter mixture-of-experts architecture activates approximately 12 billion parameters per token, enabling efficient inference while maintaining substantial model capacity. The model processes text, images, documents, and video within a unified system that combines multimodal interpretation with instruction following and tool use. Its document intelligence capabilities include extracting information from tables, analyzing charts, interpreting page layouts, and processing multipage documents. Video understanding features support visual information retrieval, content review, incident analysis, and reasoning across recorded sequences. The model also supports software engineering tasks such as code analysis, error identification, debugging, testing, and recommending fixes. Developers can customize Nemotron 3.5 Super VL using NVIDIA NeMo for supervised fine-tuning, low-rank adaptation, and reinforcement learning with domain-specific data. Its inference optimizations include speculative decoding, context reuse, multi-token prediction, and NVFP4 quantization to improve throughput and reduce computational requirements. The model is available with open weights and supports deployment across compatible local hardware, enterprise data centers, and cloud infrastructure.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
OpenRouter
Yes
Amp
Yes
Charlie
Yes
ChatGPT Pro
Yes
Dessix
Yes
Doraverse
Yes
GPT-5.1-Codex
Yes
GPT-5.1-Codex-Max
Yes
Ghost
Yes
JetBrains AI Assistant
Yes
Integrations
OpenRouter
Yes
Amp
No
Charlie
No
ChatGPT Pro
No
Dessix
No
Doraverse
No
GPT-5.1-Codex
No
GPT-5.1-Codex-Max
No
Ghost
No
JetBrains AI Assistant
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0
The model is available at no charge under the OpenMDW-1.1 license. Hosted inference through third-party providers may have separate charges.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
nvidia.com
