Adversa AI
Adversa AI helps enterprises ship AI without shipping risk. It combines adversarial AI research, AI red teaming, and runtime controls that observe connected agent actions and block dangerous chains before they become incidents.
At a Glance
- Fortune 500 enterprises
- Financial institutions and banks
- Insurance companies
- Fintech companies
- +4 more
AI Tools by Adversa AI
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Adversa AI Coding Agent Security Platform
Runtime Security for AI Coding Agents
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Latest News
Published the November 2026 AI coding-agent security roundup covering a trailing-dot Copilot RCE, a child Claude session that skips hook consent and an opencode fix.
Launched the Coding Agent Security Platform to block coding-agent attack chains in real time; reported sub-0.2-millisecond median blocking decisions in production.
Published an assessment of Claude Code enterprise safety settings and their limitations.
Disclosed Cryptographic Context Injection against GitHub Copilot CLI, showing how an encrypted payload can induce local-file reads and attempted exfiltration.
Products & Services
Runtime control layer for coding agents including Claude Code, Copilot, Cursor and Codex. It maps LLM calls, tool/MCP calls, endpoint actions and harness activity into a behavior graph, analyzes chains and blocks dangerous actions before completion.
Scoped adversarial assessments of models, AI agents and MCP servers, with findings ranked by business impact and audit packs mapped to relevant frameworks.
Open-source security suite for OpenClaw agents with 50 audit checks, automated hardening modules and a defense layer for agentic deployments.
Open-source AI-agent security rating and risk-scoring framework for comparing agent attack surface, blast radius and defenses.
Market Position
Adversa AI positions itself as a cross-vendor runtime control layer for coding agents, emphasizing full-chain behavior analysis across the agent, harness, endpoint, MCP and provider surfaces rather than single-vendor guardrails or prompt-only filtering. Comparable AI-security vendors and alternatives include HiddenLayer, Lakera, Prompt Security, Protect AI, Robust Intelligence, Mindgard, TrojAI, Prisma AIRS and Zscaler AI security offerings.
Leadership
Founders
Alex Polyakov
Co-founder and CTO with 20 years of offensive-security experience; has led 100+ person teams, consulted for trillion-dollar enterprises, co-founded an AI-driven AppSec vendor, co-invented the SSRF vulnerability class, and contributes to CoSAI, OWASP AIVSS, NIST and IEEE AI-security work.
Daniel Rubinstein
Co-founder and CEO; serial entrepreneur who built four startups over ten years and leads Adversa AI's go-to-market, partnerships and product direction.
Executive Team
Daniel Rubinstein
Co-Founder & CEO
Serial entrepreneur with four startups built over ten years; leads go-to-market, partnerships and product direction.
Alex Polyakov
Co-Founder & CTO
Offensive-security expert with 20 years of experience, former leader of 100+ person teams, AI/AppSec entrepreneur, SSRF co-inventor and contributor to major AI-security standards initiatives.
Board of Directors
Founding Story
The founders started Adversa AI to build trust in AI and protect AI systems from cyber threats, applying offensive-security research to enterprise AI security.
Business Model
Revenue Model
Enterprise software and security services: the Coding Agent Security Platform is sold as an enterprise platform accessed through a sales/demo motion, while AI red teaming is delivered as scoped engagements. Public self-serve pricing was not shown.
Target Markets
- Fortune 500 enterprises
- Financial institutions and banks
- Insurance companies
- Fintech companies
- Big Four firms
- Automotive enterprises
- Securing enterprise coding agents and agentic IDEs
- Preventing prompt injection, malicious skills/MCP-server attacks and agent hijacking
- Stopping accidental destructive commands, credential exposure and data exfiltration
- AppSec, product-security and DevSecOps monitoring and enforcement
- Enterprise AI governance, audit evidence and regulatory defense
- AI red teaming and security assessment of models, agents and MCP servers
- A large financial institution that deployed the platform across macOS and Linux to secure Codex, Claude Code and Copilot; the deployment stopped a malicious-skill credential-exfiltration attack in its first week
- Fortune 500 companies, financial institutions and AI scale-ups