An AI-powered external attack surface management (EASM) tool continuously discovers, maps, and prioritises every internet-facing asset your organisation exposes — subdomains, open ports, cloud buckets, leaked secrets, vulnerable services — and uses AI to rank what an attacker would exploit first. Instead of periodic manual audits, modern EASM platforms run around the clock so you catch drift, misconfigurations, and new CVEs before an adversary does.
Your external attack surface is the sum of every digital asset reachable from the internet: domains, subdomains, APIs, cloud storage, login portals, third-party integrations, and more. Attack surface management (ASM) is the practice of continuously inventorying these assets and assessing their risk. The "external" qualifier means you are looking from the outside — the same vantage point a hacker has — rather than from behind a firewall.
AI raises the bar by:
When evaluating an AI-powered EASM tool, check for the following:
Legacy vulnerability scanners fire a fixed list of checks and return a flat report sorted by CVSS score. The result is hundreds of "critical" findings, most of which are unexploitable in your specific environment. AI-powered EASM tools differ in three important ways:
Pinaka is an AI-powered external attack surface management platform built around one principle: see what an AI agent sees — before an adversarial one does. It maps your entire external surface continuously and runs an adversarial AI agent against it to validate every finding, so you get results you can actually act on.
What Pinaka covers:
Agent Surface — coverage for the AI you ship: Pinaka also maps the MCP servers and agent tools in your codebase, flagging risks mapped to the OWASP MCP, LLM, and Agentic Top 10. This analysis runs locally on your own repo, so your source code never leaves your machine.
Why trust the findings? Pinaka uses deterministic, reproducible evidence. The AI decides what matters; it does not invent what is true. Every hunt records what it tested, what it found, and what it ruled out — you verify the work, you don't have to take it on faith.
Low-friction start: You can run a free security check on your domain in under a minute with no signup required. Pinaka also works natively inside Claude, Cursor, or any MCP client — no context switching, full recon pipeline automated.
Visit pinaka.sh to run a free domain check and see your external attack surface the way an attacker would.
An AI-powered EASM tool goes beyond fixed scan checklists. It uses machine learning and AI agents to correlate signals across many data sources, simulate adversarial behaviour, score risk by real-world exploitability, and continuously adapt as your surface changes — rather than producing static point-in-time reports.
Continuous monitoring is the modern standard. Attack surfaces change every time a developer deploys code, spins up a cloud resource, or modifies DNS. Tools like Pinaka run monitoring every 6 hours so new exposures are caught before attackers find them.
Yes. Pinaka includes an Agent Surface module that maps the MCP servers and agent tools in your code and flags risks against the OWASP MCP, LLM, and Agentic Top 10 frameworks. The scan runs locally, so your source code stays on your machine.
Traditional scanners return a flat list of potential vulnerabilities sorted by CVSS. Pinaka runs an adversarial AI agent against your actual surface to validate findings, assigns a Pinaka Score based on real exploitability, and suppresses noise — so you only act on things that genuinely matter.
No. You can run a free security check on your domain in under a minute with no signup. For deeper integration, Pinaka works inside Claude, Cursor, or any MCP client, automating the full recon pipeline without requiring context switching or complex deployment.