Adversa AI

AI red-teaming and threat-intelligence research

Security & Safety Contact
Researched · Published
RECATOOLS Score
6.4 / 10
Capability
7
Value for money
6
Ease of use
5
ASEAN readiness
5
API quality
3
Founded
2019
HQ
Tel Aviv, Israel
Users
Launched
Developer

Overview

Adversa AI publishes some of the most-cited AI security research (jailbreak techniques, multimodal injections) and provides enterprise red-teaming services. Headquartered in Tel Aviv with North American and European customers.

Advertisement

Use cases

AI red teaming Jailbreak research Threat intelligence

What you can produce with Adversa AI

  • Run automated, continuous red-team campaigns against your deployed LLM or chatbot to surface jailbreaks and prompt-injection paths before attackers find them.
  • Stress-test an AI agent's tool-calling and decision chain for agentic-specific risks, such as being manipulated into unauthorised actions.
  • Get a prioritised vulnerability report on a GenAI application before it ships to production, mapped to emerging AI security frameworks.
  • Validate that guardrails and safety filters actually hold up against the multimodal and encoding-based attack techniques documented in Adversa's published research.
  • Commission expert-led red-teaming engagements that combine the automated platform with Adversa's researchers for high-stakes deployments.
  • Track your AI attack surface over time with repeated assessments, so each model update or prompt change is re-tested rather than assumed safe.
Advertisement

ASEAN Perspective

Adversa AI in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

Adversa AI is a specialist in AI security and red teaming, focused on testing machine-learning systems and LLMs against adversarial attacks, jailbreaks, and prompt-injection. As organisations ship AI into production, this kind of dedicated AI-threat assessment is increasingly relevant, and Adversa's research credibility in the space is solid.

It is a niche, services-and-platform offering aimed at enterprises and security teams rather than a self-serve product, so pricing is engagement-based and onboarding involves their team. There is limited public API or self-serve tooling for general developers, and ASEAN presence is global-remote rather than regional. A relevant pick for AI-security-mature teams, not for casual evaluation.

Independent AI-assisted assessment by RECATOOLS.

What people say

Adversa AI is a Tel Aviv-based AI security firm, founded in 2019 by Alex Polyakov, that made its name publishing widely cited offensive research — early GPT-4 jailbreaks, multimodal prompt-injection techniques and annual AI security incident reports — before productising that expertise into a continuous AI red-teaming platform for LLMs, GenAI applications and, most recently, autonomous agents. The company remains independent as of 2026 and has picked up meaningful industry validation: a 2025 Fortress Cybersecurity Award in the AI category and the Cloud Security Alliance's Pitchapalooza 2025 win against a field of more than 40 AI security startups. Polyakov also co-leads the agentic AI security initiative at the Coalition for Secure AI (COSAI).

Enterprise feedback is thinner than for mainstream SaaS — this is a specialist category with a small public review footprint — but the Gartner Peer Insights reviews that exist are positive. Customers describe the platform as comprehensive red-teaming automation that lets them stress-test models before production, and the firm counts Fortune 500 companies and government customers across the US, EU and Asia. The recurring criticisms are the ones you would expect of a deep technical product: advanced features take time to learn, especially for teams new to AI security, and some of the deeper risk-analysis dashboards could be more intuitive to navigate.

The honest read is that Adversa is a research-first boutique that has been early and credible on almost every major AI attack class, now competing in a rapidly crowding AI red-teaming market against well-funded rivals. It fits security teams at enterprises actually deploying LLMs or agents into production who need adversarial testing beyond generic pentesting, and CISOs who value a vendor whose researchers publish the attacks everyone else cites. It is overkill for companies merely experimenting with AI, and there is no self-serve free tier — expect an enterprise sales motion.

Summary of public user & expert reviews, compiled by RECATOOLS.

About this listing

Researched on
Published on

This entry was compiled from publicly available data including Adversa AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Adversa AI unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to Adversa AI directly →

Spotted something out of date? Suggest an update →

Advertisement