adversa-ai

adversa-ai

Adversa AI provides a coding-agent security platform — a runtime control layer that observes and blocks dangerous actions by AI coding agents, performs continuous adversarial testing, and delivers audit-ready evidence and remediation for enterprises running mission-critical AI.

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#20 in Security (20 tools)
Just launched
Data reviewed Aug 19, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Software & Gaming

What it does

Security software for decision-makers comparing workflow fit and alternatives.

Best fit

Software & Gaming

Pricing snapshot

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adversa-ai

Adversa AI is a coding-agent security platform that implements a runtime control layer to observe, understand as connected chains, and block dangerous actions by AI coding agents (examples cited include Claude Code, Copilot, Cursor, Codex). The platform emphasizes continuous adversarial testing and autonomous attack generation (using an on-prem AI and a Self-Evolving Threat Intelligence system) so organisations can approve more AI use cases with demonstrable controls, audit evidence, and remediation. It targets enterprises and regulated sectors, supporting deployment from public cloud to fully air-gapped networks without reliance on public AI APIs.

Adversa AI secures AI systems from cyber threats, privacy issues, and safety incidents.

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Key Features

Runtime control layer

Stops dangerous coding agent actions before they become incidents and observes every agent action as part of a connected chain.

Attack-anchored policy library

Over 90 attack-anchored policies ship with the platform on day one to block known adversarial techniques in coding agents.

Self-Evolving Threat Intelligence (SETI)

Continuously ingests research and incident sources monthly and converts new findings into structured attack playbooks automatically.

Autonomous attack intelligence

Uses on-prem AI to build multi-step, adaptive attack campaigns tailored to your models, agents, tools, and data flows.

Full-stack coverage (Model–Agent–App/Tool/Platform)

Continuously probes models, agents, applications and tools (MCP) under realistic adversarial conditions (e.g., jailbreaks, tool hijack, auth bypass, data exfiltration).

Remediation and audit evidence

Delivers remediation playbooks, code snippets, config changes, and audit-ready evidence mapped to frameworks like OWASP, MITRE, and the EU AI Act.

Air-gapped and on-prem deployment

Designed to run where customers' systems run, including public cloud or fully air-gapped networks, without calling third-party public AI APIs.

Business-aware risk prioritization

Ranks findings by business impact (data, operations, compliance) and maps vulnerabilities to real-world consequences such as money movement, PII leakage, or SLA breaches.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Secure deployment of coding agents

Control and monitor coding agents (e.g., Copilot, Claude Code, Cursor, Codex) in production to prevent data exfiltration, malicious instruction chains, and unsafe code execution.

Continuous AI red teaming

Automated, adaptive red teaming across models, agents, and apps to find evolving, combinatorial threats that point-in-time assessments miss.

Regulatory compliance and audit readiness

Produce audit-ready evidence and remediation tied to frameworks such as OWASP, MITRE, and the EU AI Act to satisfy auditors and regulators.

Enterprise risk prioritization

Prioritize remediation by business impact so CISOs can approve more AI projects with quantified residual risk.

Integrations

Coding agents (Claude Code, Copilot, Cursor, Codex)

The platform monitors and controls widely used coding agents and the next agents customers deploy.

Audit & standards mappings (OWASP, MITRE, EU AI Act)

Findings and evidence packs are mapped to OWASP, MITRE, EU AI Act and other frameworks for audit and compliance reuse.

Benefits

Reduces incidents by blocking dangerous agent behavior at runtime rather than relying solely on point-in-time assessments.
Provides continuous, auditable evidence and remediation mapped to industry frameworks to support compliance and audits.
Enables deployment in restricted environments (air-gapped, on-prem) without dependence on public AI APIs.
Delivers business-aware prioritization so teams focus on vulnerabilities that most affect operations, data, and compliance.
Automates updating of attack playbooks via SETI to keep red teaming aligned with current adversarial tactics.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Book a demo via the Adversa AI site to see the platform and request access.
  2. 2 Explore the platform and its runtime control capabilities (platform demo and exploration links on site).
  3. 3 Deploy the runtime control layer where your systems run (public cloud or air-gapped environments) and enable shipped attack-anchored policies and remediation playbooks.

Support

Book a demo

Platform page provides a 'Book a demo' form to see the product in action.

Contact page

Site shows 'Contact Us' and links to Trust Center and company pages for inquiries (contact link present on site).

Social / Media

Follow Adversa on LinkedIn and access media coverage and blog research on the site.

API

Available: No

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