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DeepKeep
$1Starting price
4.1KMonthly visits
10Popularity
About DeepKeep
DeepKeep is an AI-native security platform designed to enhance trustworthiness and safeguard AI applications throughout their entire lifecycle. It uniquely combines risk detection with automated remedies, addressing both seen and unseen vulnerabilities in AI models, including LLMs, vision, and tabular data. The platform operates continuously, providing real-time updates to assess and manage risks from R&D through production and deployment. DeepKeep protects beyond the AI model itself, covering physical sources and digital surfaces to ensure holistic security. Its solutions are tailored for businesses heavily reliant on AI, GenAI, and LLM technologies, offering protection against cyber threats and compliance risks. The tool integrates seamlessly with existing corporate systems via APIs and supports multimodal AI models, making it adaptable for diverse enterprise needs. DeepKeep is particularly valuable for large corporations, financial institutions, automotive companies, and insurance firms that require robust, dynamic security measures to maintain operational integrity and customer trust.
Key features
- AI-native security tailored for AI environments
- Continuous risk detection across the AI lifecycle
- Automated remedies for data curation, training, and inference
- Holistic protection covering digital and physical sources
- Support for multimodal AI models (LLM, vision, tabular data)
- Real-time security updates and risk assessments
- API access for seamless corporate system integration
- Dynamic adaptation to evolving AI threats
- Pre- and post-production phase coverage
- Comprehensive end-to-end security management
Use cases
- Securing AI-driven operations in financial institutions
- Protecting autonomous vehicle AI functionalities in automotive companies
- Enhancing risk evaluation and claims management in insurance firms
Pros
- Combines risk detection with automated remedies for both seen and unseen AI vulnerabilities
- Provides real-time, continuous security across the entire AI lifecycle from development to production
- Supports multimodal AI models including LLMs, vision, and tabular data with unified risk scoring
- Offers runtime guardrails, adversarial testing, and visibility controls tailored for enterprise-scale AI systems
- Integrates seamlessly with existing corporate systems via APIs and supports policy enforcement in real time
Cons
- May require significant configuration to align with complex enterprise security policies
- Runtime detection and guardrails could introduce latency in high-throughput AI applications
- Limited public documentation on specific performance benchmarks or scalability limits
- Dependence on context-aware policies may necessitate ongoing manual tuning for optimal accuracy
Frequently asked questions about DeepKeep
What is DeepKeep and what does it do?
DeepKeep is an AI-native security platform designed to secure AI applications, agents, and models throughout their entire lifecycle. It provides real-time detection, automated remedies, and continuous risk assessment for vulnerabilities in AI systems, including LLMs, vision models, and agentic workflows.
Who should use DeepKeep?
DeepKeep is tailored for enterprises heavily reliant on AI, GenAI, and LLM technologies, particularly large corporations, financial institutions, automotive companies, and insurance firms that require robust security measures to maintain operational integrity and compliance.
How does DeepKeep integrate with existing systems?
DeepKeep integrates seamlessly with corporate systems via APIs, offering a unified console for managing AI risks across models, applications, and agents. It supports multimodal AI models and provides policy enforcement in real time.
What are the core capabilities of DeepKeep?
Core capabilities include AI Firewall for runtime detection and guardrails, AI Red Teaming for adaptive security testing, AI Lens for visibility and access control, AI Agent Scanner for runtime protection, and Model Scanning for static and dynamic supply-chain checks.
Does DeepKeep support compliance with regulations?
Yes, DeepKeep helps organizations meet compliance requirements such as the EU AI Act, GDPR, and NIS2 by providing evidence of secure AI practices and mapping risks to auditing frameworks.
How can I get started with DeepKeep?
Prospective users can book a demo on the DeepKeep website to explore the platform and discuss tailored solutions for their AI security needs.
DeepKeep Website Engagement
Last Update: 9 days ago
Total Monthly Visits
0
Bounce Rate
0%
Visit Duration (avg)
0.00s
Pages Per Visit
0
Country Rank
0
United States
Global Rank
0
Monthly Traffic
Traffic Sources
Traffic Share By Country
- United States62.8%
- India22%
- Italy11.6%
- Israel3.6%
