Securing AI Against Adversarial Threats
Based on user reviews
Rating Distribution
eli_cohen_dev
about 1 month ago
I've integrated Adversa AI into our fintech workflow for three months now, mainly for continuous red teaming on our LLMs. The automated threat detection caught prompt injections we missed before, saving hours of manual testing each week. Compared to Protect AI, their patented platform feels more enterprise-ready, especially for EU AI Act compliance in finance. Honestly, the setup took a bit longer than expected, but the real-time insights and hardening recommendations make it worth it. Great for devs securing agentic systems.
Albert Schaper(Artificial Intelligence, AI Tools)
Adversa AI earns a 4.0/5 rating from 1 user review, with Albert Schaper endorsing it for Scientific Research applications. Albert Schaper's knowledge of artificial intelligence makes this recommendation especially relevant for software developers seeking artificial intelligence tools.
Adversa AI is a leading cybersecurity company specializing in securing machine learning, AI, and large language models against adversarial attacks, privacy issues, and safety incidents. It offers an Agentic AI Security and Red Teaming platform, high-level threat analysis, validation, hardening services, LLM security research, and compliance assessments for regulations like the EU AI Act across industries including finance, automotive, and smart cities.
Understanding the core functionality and approach of Adversa AI.
Adversa AI charges based on real activity, making it ideal for variable workloads. Budget planning becomes simpler when costs directly reflect output volume. Usage-based billing keeps costs aligned with real adoption.
Explore the powerful features that make Adversa AI stand out.
Type-safe SDKs provide autocomplete and compile-time checks for faster development.
Security tooling ensures deployments stay within policy while innovation continues. Security controls, permissions, and logging keep sensitive data protected.
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Policies and controls match the expectations of regulated industries. Security controls, permissions, and logging keep sensitive data protected.
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Learn to craft effective prompts to command AI models.
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