Threat Intelligence forthe AI Ecosystem

Detect, investigate, and hunt adversarial activity across your AI ecosystem.

30-min call · see how it works

  • OpenAI
  • Anthropic
  • Gemini
  • Grok
  • Mistral
  • DeepSeek
  • Perplexity
  • Meta AI
  • Qwen
  • Hugging Face
  • Ollama
  • Cohere
  • LangChain
  • Copilot
  • Kimi
  • Claude Code
  • Codex
  • CrewAI
  • LlamaIndex
  • MCP
  • n8n
  • Cursor
  • OpenRouter
  • OpenClaw
  • Nous Hermes

The new attack surface

AI created new tools.
It also created new targets.

Organizations are deploying AI agents, and autonomous workflows faster than security teams can track them.
Every model, prompt, plugin, package, and API expands the attack surface…
and attackers are already exploiting it.

AI agents are the new insiders

They hold credentials, query databases, call internal APIs, and execute business workflows, all with the access of a trusted employee but none of the judgment, accountability, or oversight that comes with one.

Prompts are the new attack path

A single adversarial prompt, whether through direct injection or an Indicator of Prompt Compromise, can alter agent decisions, exfiltrate sensitive data, or trigger unsafe actions, without a single line of malware.

The AI supply chain expands your attack surface

Every model, dataset, package, plugin, skill, and MCP server you pull in is a new trust boundary, and most of them ship with no provenance, no signing, and no way to verify what they actually do.

The missing bridge

Existing security has a blind spot

Traditional threat intelligence tracks malware, phishing, domains, IPs, and vulnerabilities. It doesn't track malicious prompts, compromised MCP servers, poisoned models, rogue plugins, AI agents, or AI supply-chain abuse.

Traditional threat intelligence categories and their AI threat intelligence counterparts
Traditional IntelligenceAI Threat Intelligence
MalwareMalicious AI tools & packages
Threat actorsAI attack campaigns
DomainsRogue MCP servers & malicious skills
Software supply chainModels, datasets & plugins
InfrastructureAI infrastructure exposure
ApplicationsAI agents & autonomous workflows
ExploitsPrompt injection techniques
Initial accessCompromised identities & API keys
IOC feedsIoPC feeds
TTPsAdversarial AI techniques

AI Threat Intelligence is the collection, analysis, and operational use of intelligence about threats targeting, abusing, or compromising AI systems.

SecurityBreak is defining the intelligence layer for the AI ecosystem

  1. Research

    We investigate adversarial AI, malicious tools, prompt attacks, and emerging attack techniques.

  2. Intelligence

    Every discovery becomes detections, IoPCs, hunting content, and continuously updated intelligence.

  3. Detect & Respond

    Detect threats across your AI ecosystem, investigate alerts, and respond before compromise.

Ready to get started?

Secure Your AI Ecosystemwith Continuous Threat Intelligence

30-min call · see how it works

Research • Intelligence • Detection