Looking for alternatives or competitors to DeepRails? Other important factors to consider when researching alternatives to DeepRails include ease of use and reliability. The best overall DeepRails alternative is Microsoft Defender for Cloud. Other similar apps like DeepRails are Securiti, AppTrana, DataGuard, and Obsidian Security. DeepRails alternatives can be found in AI Security Solutions Software but may also be in Data Security Posture Management (DSPM) or Generative AI Infrastructure Software.
Azure Security Center provides security management and threat protection across your hybrid cloud workloads. It allows you to prevent, detect, and respond to security threats with increased visibility.
Securiti is the pioneer of the Data Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multicloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance. Securiti has been recognized as Gartner "Cool Vendor in Data Security", Forrester "Privacy Management Wave Leader", and RSA "Most Innovative Startup
AppTrana is designed to address the shortcomings in existing cloud security solutions which claim to provide comprehensive protection using only technology based cookie cutter solutions. Welcome to the new world of AppTrana where your entire application security is custom built by experts based on your existing risk posture
Protect your SaaS and cloud services from account takeover, access misuse, and sprawl with continuous monitoring and analytics.
The Robust Intelligence Model Engine (RIME) helps your team secure your AI lifecycle and prevent AI Failure. Run hundreds of tests to automatically identify implicit assumptions and failures of pre-production models Model production readiness in hours, not months Prioritize developing your models rather than writing tests Standardize the AI testing process across your org
CalypsoAI brings together the top minds in the fields of data science, machine learning, and defense to create the leading-edge solutions for testing and validation.
Lakera is a powerful AI Security platform equipping developers with the tools to put safety & security at the core of AI.
Cranium is a comprehensive AI governance platform designed to help organizations adopt and accelerate AI safely. It enables businesses to identify security risks, demonstrate compliance, and build trust in both internal and third-party AI systems. By providing end-to-end AI governance, Cranium ensures that organizations can manage their AI supply chain securely and efficiently. Key Features and Functionality: - Detect AI: Scans code repositories to uncover, label, and prioritize AI/ML code, offering unmatched visibility into AI components. - Security Monitoring: Continuously monitors AI systems for vulnerabilities and threats, ensuring robust protection against potential risks. - Compliance Management: Enhances the ability to define, implement, and validate internal AI compliance, aligning with industry standards and regulations. - Third-Party AI Oversight: Extends insight and fosters trust in external AI systems interacting with the organization, ensuring comprehensive oversight. Primary Value and Problem Solved: Cranium addresses the critical need for secure and compliant AI adoption by providing organizations with the tools to monitor, manage, and govern their AI ecosystems effectively. It mitigates risks associated with AI deployment, ensures adherence to compliance standards, and builds trust in AI systems, both internal and external. By offering a centralized platform for AI governance, Cranium empowers organizations to harness the full potential of AI while maintaining security and compliance.
The Prisma AIRS platform secures all apps, agents, models and data from development to deployment. AI Model Security-Enable the safe adoption of third-party AI models by scanning them for vulnerabilities and secure your AI ecosystem against risks such as model tampering, malicious scripts and deserialization attacks. AI Red Teaming-Uncover potential exposure and lurking risks before bad actors do. Perform automated penetration tests on your AI apps and models using our Red Teaming agent that stress tests your AI deployments, learning and adapting like a real attacker. AI Posture Management-Gain comprehensive visibility into your AI ecosystem to prevent excessive permissions, sensitive data exposure, platform misconfigurations, access misconfigurations and more. AI Runtime Security-Protect your LLM-powered AI apps, models and data against runtime threats such as prompt injection, malicious code, toxic content, sensitive data leaks, resource overload, hallucinations and more. AI Agent Security-Secure AI agents — including those built on no-code/low-code platforms — against new agentic threats such as identity impersonation, memory manipulation and tool misuse.