{"id":345287,"date":"2026-03-08T17:08:15","date_gmt":"2026-03-08T14:08:15","guid":{"rendered":"https:\/\/adversa.ai\/?page_id=345287"},"modified":"2026-05-03T15:15:04","modified_gmt":"2026-05-03T12:15:04","slug":"platform","status":"publish","type":"page","link":"https:\/\/adversa.ai\/ai-red-teaming-agentic-ai\/","title":{"rendered":"Platform"},"content":{"rendered":"
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\nThe Security Platform for Custom AI Agents<\/span><\/p>\n

Secure the AI agents you build.<\/h1>\n

Most AI security tools are designed for off-the-shelf chatbots. Adversa AI platform is engineered for your proprietary agents. We deliver continuous red teaming and security for the AI that runs your core business. Discover complex vulnerabilities, map your business risk, and get actionable remediation playbooks in real time.<\/p>\n

Request a Platform Demo \u2192<\/a>
\nExplore the Platform<\/a><\/div>\n<\/div>\n
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\"Adversa<\/p>\n

Platform Dashboard \u2014 Real-time security posture overview<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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60+<\/div>\n
Vulnerability classes across agent, model, MCP<\/div>\n<\/div>\n
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100%<\/div>\n
OWASP Agentic AI + LLM Top10<\/div>\n<\/div>\n
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Every<\/div>\n
Model, prompt, or tool update triggers a re-scan<\/div>\n<\/div>\n
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3,000+<\/div>\n
Threat intel sources <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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The Challenge<\/span><\/p>\n

You’ve secured your AI.
\nBut do you test it continuously?<\/h2>\n

You’ve deployed the AI firewall and ran pentests. But in an ecosystem where models drift, AI agents evolve, and attackers use AI to bypass rules and invent new methods within hours, “set and forget” security is a liability.<\/p>\n

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Guardrails \u2014
\nnecessary, not sufficient<\/h4>\n

Firewalls and guardrails rely on known techniques and one-step attacks. But creative tailored probabilistic attacks, tool abuse, and jailbreak variations bypass those filters every day.<\/p>\n<\/div>\n

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Red team assessments \u2014
\nvaluable, not viable long-term<\/h4>\n

You ran a pentest or brought in consultants and spent a significant budget. But that was a snapshot of a moving target. An AI agent is a live, evolving system. Underlying models change without notice, new tools get connected, prompts get tuned. Each change resets your risk posture.<\/p>\n<\/div>\n

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DIY \/ Open Source \u2014
\npossible, not scalable<\/h4>\n

Agentic AI security requires expertise that blends offensive security, ML internals, and business-logic reasoning. The investment in staffing and continuous research quickly exceeds the cost of a purpose-built platform.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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What Adversa AI is<\/span><\/p>\n

An autonomous red teaming platform for AI<\/h2>\n

Adversa AI continuously validates that your AI agents behave correctly in your specific business context \u2014 across every stack layer, from models and agentic cognition to application APIs and infrastructure including MCP.<\/p>\n

Your guardrails stop the obvious. We find the invisible.<\/strong> Our engine invents novel vulnerabilities<\/strong> using its own on-prem AI models \u2014 not relying on external providers \u2014 then prioritizes every finding by real business impact<\/strong> and delivers remediation your teams can act on. What used to be a one-time, six-figure engagement is now a continuously operating product.<\/p>\n<\/div>\n

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Model layer of your agent<\/span>
\n01<\/div>\n
Application \/ API layer<\/span>
\n02<\/div>\n
Agentic layer<\/span>
\n03<\/div>\n
MCP \/ Infrastructure<\/span>
\n04<\/div>\n
ADVERSA AI \u2014 360\u00b0 COVERAGE<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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Full AI Stack Coverage<\/span><\/p>\n

Model. Application. Agent. MCP.
\nAll covered.<\/h2>\n

Connect any AI system as an asset and start testing within minutes.<\/p>\n<\/div>\n

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\"Adversa<\/p>\n

Asset Inventory \u2014 Manage and test custom agents, chatbots, and AI-powered applications<\/div>\n<\/div>\n<\/div>\n
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01<\/span><\/p>\n

Model layer of your agent (direct API)<\/h3>\n

You didn’t build the LLM (OpenAI, Claude, Llama), but you are responsible for how it behaves. We test the foundation model specifically within the context of your application to prevent jailbreaks, data exfiltration, or context poisoning.<\/p>\n<\/div>\n

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02<\/span><\/p>\n

Application layer (web app)<\/h3>\n

Your custom-built AI portal, copilot UI, or internal tool \u2014 tested end-to-end against OWASP Top 10 for GenAI, with attacks adapted to your stack.<\/p>\n<\/div>\n

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03<\/span><\/p>\n

Agent (autonomous AI)<\/h3>\n

LangChain, AutoGPT, custom frameworks. Tool misuse, goal manipulation, inter-agent attacks, and everything from OWASP Top 10 for Agentic AI.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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360\u00b0 Threat Model<\/span><\/p>\n

A complete, tailored threat model<\/h2>\n

Every assessment starts from a structured threat model that maps test objectives, attacker types, attack depth, input modalities, and outcomes \u2014 so results are relevant to your risk posture.<\/p>\n

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Test Objectives<\/div>\n
Vulnerability Categories<\/div>\n
Attack Engine<\/div>\n
Modalities<\/div>\n
Depth & Cadence<\/div>\n<\/div>\n

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Security<\/h3>\n

Prompt injection, data leakage, insecure output and so on. Tests mapped to OWASP Top 10 and MITRE ATLAS.<\/p>\n<\/div>\n

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Safety<\/h3>\n

Harmful outputs, misinformation, bias, restricted topics, content safety, and more.<\/p>\n<\/div>\n

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Business Risk<\/h3>\n

Custom scenarios specific to your organization \u2014 competitor data protections, industry-specific rules, contractual obligations.<\/p>\n<\/div>\n<\/div>\n

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\"Adversa<\/p>\n

Analysis Dashboard \u2014 Framework coverage mapping across security standards<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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60+ vulnerability categories covering the full spectrum \u2014 from prompt injection and data leakage to business risks and compliance violations.<\/p>\n

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Model-Level<\/h4>\n

Adversarial prompts, jailbreaks, prompt leakage.<\/p>\n<\/div>\n

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Application<\/h4>\n

Insecure output, code execution, session exfiltration.<\/p>\n<\/div>\n

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MCP \/ Supply Chain<\/h4>\n

Tool misuse, command injection, privilege escalation.<\/p>\n<\/div>\n

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Agentic<\/h4>\n

Tool-hijack, goal manipulation, inter-agent attacks.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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Stage 01<\/span><\/p>\n

Static Library<\/h4>\n

The largest curated attack database, built from Adversa AI Threat Intel monitoring 3,000+ sources monthly.<\/p>\n

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Stage 02<\/span><\/p>\n

Mutation Engine<\/h4>\n

50+ mutation engines morph known attacks and bypass guardrails.<\/p>\n

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Stage 03<\/span><\/p>\n

Dynamic \/ Adaptive<\/h4>\n

Context-aware attack generation that analyzes target responses, learns behavioral patterns, and adapts mid-run.<\/p>\n

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Stage 04<\/span><\/p>\n

AI-Generated<\/h4>\n

Autonomous AI agents craft multi-step, tailored attacks and discover entirely new vulnerability classes.<\/p>\n

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\"Adversa<\/p>\n

Analysis Dashboard \u2014 Attack methodology breakdown: Static, Mutated, and AI-Generated<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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All modalities operate in any language and across mixed-media channels, testing cross-language attacks and unicode exploitation.<\/p>\n

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Text<\/h3>\n

Prompt manipulation \u2014 the foundation of AI testing.<\/p>\n<\/div>\n

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Documents<\/h3>\n

File-based and embedded attack vectors.<\/p>\n<\/div>\n

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Images<\/h3>\n

OCR and visual attacks for vision-enabled systems.<\/p>\n<\/div>\n

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Audio<\/h3>\n

Speech-to-text exploitation for voice interfaces.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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Quick<\/h4>\n

30-60 min \u00b7 100 attacks<\/p>\n

Dev testing and quick daily validation.<\/p>\n<\/div>\n

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Default<\/h4>\n

1-3 hours \u00b7 1,000 attacks<\/p>\n

Production readiness and regular assessments.<\/p>\n<\/div>\n

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Advanced<\/h4>\n

3-24+ hours \u00b7 10,000-100,000 attacks<\/p>\n

Critical systems and regulatory compliance.<\/p>\n<\/div>\n<\/div>\n

300+ techniques in combinatorial campaigns. Select depth and frequency per your risk appetite.<\/p>\n<\/div>\n<\/div>\n<\/section>\n

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Business-Context Awareness<\/span><\/p>\n

Attacks adapted to your business logic<\/h2>\n

Define your business-risk scenarios via text description or structured CSV \u2014 financial rules, data privacy constraints, brand safety requirements \u2014 and the platform’s AI attack agents use this full context to craft domain-specific exploit chains.<\/p>\n

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Customer Story \u2014 Fintech Copilot<\/span>A large fintech company released a copilot built on the most secure frontier model API, protected by two guardrails<\/strong>. They evaluated Big Four teams, boutique pentesters, and multiple competitors \u2014 and chose Adversa for its unique capability to adapt attacks for business specifics.<\/p>\n

Most red teams would have stopped after basic attacks returned no results. But our agent understood this was a fintech copilot. It figured out that the copilot must call a specific tool for fee calculations.<\/p>\n

Using the database of techniques combined with full context of the copilot’s tools and infrastructure, it placed a code injection via the fees calculator \u2014 despite two guardrails<\/strong>. The result: full control and arbitrary code execution. We helped address this catastrophic vulnerability in time.<\/p>\n<\/div>\n<\/div>\n<\/section>\n

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What You Get<\/span><\/p>\n

From attack artifacts to remediation playbooks to audit packs<\/h2>\n

Every scan produces actionable outputs for engineering, security leadership, and compliance teams.<\/p>\n<\/div>\n

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\"Adversa<\/p>\n

Vulnerability Scan \u2014 Cognitive exploitation findings with risk scoring<\/div>\n<\/div>\n<\/div>\n
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01<\/span><\/p>\n

Risk-ranked findings<\/h3>\n

Reproducible attack artifacts with full timelines and detailed attack path visualization.<\/p>\n