Agentic AI Security & Intelligence

Our AI learns what your product should do. Then finds what it shouldn't.

Every request is valid. Every permission is granted. But your business logic is being exploited.

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AI agents and attackers already reason about your business logic. They exploit your APIs and MCP tools - bypassing workflows, chaining features, escalating permissions, shadowing trusted tools, poisoning metadata, and turning read-only access into write operations. Pattern-matching scanners catch none of it. Who's testing the logic flaws that don't have signatures?

The Problem

Scanners match patterns.
AI-powered attacks exploit logic.

AI agents explore your APIs, chain your MCP tools, map your workflows, and escalate permissions, all at machine speed. Your product's security is now exposed to the full capabilities of agentic AI. The flaws they exploit aren't in any vulnerability database. Pattern-matching tools and CVE scanners miss them entirely.

	Automated Pentesting & DAST	Anomity
Core Approach	Replay known attack playbooks, fuzz HTTP endpoints, or test periodically with manual tools	AI agents autonomously reason about your application logic from scratch
What It Finds	Known CVEs, OWASP Top 10, signature-based web vulnerabilities	Business logic flaws, workflow bypasses, permission escalation chains, feature interaction bugs
LLM Reasoning	Deterministic playbooks, rule-based crawling, or human expertise	LLMs reason about intent, chain behaviors, and discover what should never happen
MCP Server Coverage	No MCP awareness	Tests tool shadowing, poisoning, privilege abuse, rug pulls, and prompt injection
Business Logic Discovery	Not designed for business logic, or limited by tester time	Purpose-built. Learns what your product should do, then finds violations

Core Approach

Others

Replay known attack playbooks, fuzz HTTP endpoints, or test periodically with manual tools

Anomity

AI agents autonomously reason about your application logic from scratch

What It Finds

Others

Known CVEs, OWASP Top 10, signature-based web vulnerabilities

Anomity

Business logic flaws, workflow bypasses, permission escalation chains, feature interaction bugs

LLM Reasoning

Others

Deterministic playbooks, rule-based crawling, or human expertise

Anomity

LLMs reason about intent, chain behaviors, and discover what should never happen

MCP Server Coverage

Others

No MCP awareness

Anomity

Tests tool shadowing, poisoning, privilege abuse, rug pulls, and prompt injection

Business Logic Discovery

Others

Not designed for business logic, or limited by tester time

Anomity

Purpose-built. Learns what your product should do, then finds violations

They replay known attacks. We discover unknown ones.

Logic Security

Business logic flaws that scanners miss

Our AI builds a semantic model of your product's business logic - exploring from the outside, mapping APIs, workflows, permissions, business rules, and MCP tool ecosystems. It understands your product's intended behavior, then systematically uncovers flaws where every request looks valid, but the behavior violates your product's rules.

Permission Inheritance

Viewer escalated to data owner

User A creates a project, adds User B as viewer. User B creates a sub-task within that project, which the UI allows. Our AI discovered: sub-task creator automatically becomes "owner" of that object, with permission to invite others and export data.

Data exfiltration, access escalation

Why scanners miss this

Create sub-task: authorized for viewers. Creator becomes owner: per-object behavior. Scanner sees valid permission model. Our AI understood the intended hierarchy: project "viewer" shouldn't gain ownership rights. It mapped how permissions inherit and inflate.

Delegation Chain

"View only" became "full export"

Admin delegates limited "view reports" to User B. User B delegates to User C, and adds "export" capability that B doesn't even have. Your system allows delegators to expand permissions they were given. Our AI chained four delegations: view → full data export.

Data breach, privilege escalation

Why scanners miss this

Each delegation is authorized by someone with the permission. Scanner sees valid delegation at each step. Our AI understood the business intent: delegated permissions shouldn't be re-delegatable or expandable. It mapped the full delegation graph.

Tenant Isolation

Neighbor's data in your dashboard

SaaS platform isolates tenants by org ID. Our AI modified the org_id parameter in a report export endpoint, and received another tenant's financial data. The API validated authentication but not tenant ownership of the requested resource.

Data breach, regulatory violation (GDPR/SOC 2)

Why scanners miss this

Request is authenticated, parameter format is valid, response is well-formed. Scanner sees a working API call. Our AI understood the isolation boundary: authenticated users should only access their own tenant's data. It systematically tested cross-tenant resource references.

Workflow Bypass

Contract approved without legal review

Procurement workflow requires: Draft → Legal Review → Finance Approval → Executed. Our AI called the "execute contract" API endpoint directly with a draft contract ID. The endpoint checked if the user had the "execute" role, but never verified the contract had passed through required stages.

Compliance violation, unauthorized commitments

Why scanners miss this

User has the "execute" role, contract ID exists, API returns success. Scanner sees a valid authorized action. Our AI understood the required workflow: contracts must pass through every stage sequentially. It tested whether stage transitions could be skipped entirely.

Rule Combination

45% discount past the 25% cap

Three discount types: referral (10%), first-order (15%), promo codes (20%). Business rule: max 25% combined. Our AI applied them in sequence, then updated profile mid-checkout to re-trigger first-order. Final discount: 45%. Cap only checked at initial calculation.

Revenue loss at scale

Why scanners miss this

Each discount applies correctly. Scanner tests each in isolation. Our AI understood the business constraint: 25% max total. It tested every permutation and ordering, finding that mid-checkout changes bypass the cap validation.

State Persistence

Cancelled subscription still has access

User cancels premium subscription. Billing stops immediately, but the user_tier flag in the session cache isn't invalidated. Our AI discovered: cancelled users retain premium API access until their session expires, up to 7 days of free premium features.

Revenue loss, access control violation

Why scanners miss this

Cancellation API returns success. Session token is valid. API calls return authorized responses. Scanner sees correct behavior at each step. Our AI understood the intended state model: cancellation should immediately revoke premium access. It tested temporal gaps between billing state and access state.

Separation of Duties

Same person approves their own expense

Expense policy requires submitter and approver to be different people. Our AI created an expense as User A, then used User A's manager role to approve it. The system checked role permissions but never enforced that submitter ≠ approver.

Fraud, compliance violation

Why scanners miss this

User has the "approver" role. Expense ID exists. Approval API succeeds. Scanner sees valid role-based access. Our AI understood the duty separation constraint: the same individual shouldn't both submit and approve. It tested identity-based restrictions across workflow stages.

Version Drift

Deprecated endpoint bypasses new security

API v2 adds rate limiting and input validation. But /api/v1/transfer is still live, undocumented, without the new controls. Our AI discovered the legacy endpoint accepts the same parameters and executes transfers without any of the v2 safeguards.

Security bypass, unprotected transactions

Why scanners miss this

v1 endpoint responds correctly, authentication works, parameters are valid. Scanner tests the documented API. Our AI understood the intended deprecation: old endpoints shouldn't provide access to functionality without current security controls. It probed version namespaces systematically.

Feature Interaction

Gift card + refund = infinite money

User buys item with gift card, then requests refund to credit card. Each feature works correctly in isolation: gift card deducts balance, refund credits the payment method. Our AI chained them: buy with gift card, refund to bank account, repeat. Net result: gift card balance converted to cash.

Financial loss, payment fraud

Why scanners miss this

Gift card purchase succeeds. Refund processes correctly. Each transaction is individually valid. Scanner tests features independently. Our AI understood the business invariant: refunds should return to the original payment method. It tested cross-feature interactions that violate financial constraints.

Race Condition

Single-use coupon applied to 50 orders

Promotional coupon limited to one use per customer. Our AI sent 50 concurrent checkout requests with the same coupon code in a 200ms window. The validation check and the "mark as used" write aren't atomic, and 47 of 50 requests applied the discount before the coupon was flagged.

Revenue loss, promotion abuse at scale

Why scanners miss this

Each individual request is valid: coupon exists, user is eligible, checkout succeeds. Scanner tests sequentially. Our AI understood the single-use constraint and tested concurrent execution. It identified the time-of-check-to-time-of-use gap in coupon validation.

MCP Security

Your MCP tools are an attack surface

AI agents interact with your systems through MCP tools, and every tool is a potential attack vector. Our AI tests for shadowing, poisoning, privilege escalation, and supply chain attacks across your entire tool ecosystem.

Tool Shadowing

Trusted tool quietly replaced by impostor

Third-party plugin registers a tool with the same name, silently rerouting data through an untrusted endpoint.

Tool Chaining

Read-only agent rewrites the database

Agent chains a read call into a write call, bypassing per-tool permission checks that only validate in isolation.

Tool Poisoning

Tool description hijacks the AI agent

Hidden instructions in tool metadata cause the agent to leak credentials before executing the intended operation.

Rug Pull

Trusted tool turns hostile after update

Popular tool silently adds secret-reading behavior after a routine update, embedding API keys in output metadata.

Prompt Injection

Fetched data triggers unauthorized transfer

Attacker-controlled content embeds instructions that cause the agent to invoke privileged tools on the attacker's behalf.

Auth Bypass

Agent bypasses OAuth to access admin panel

Tool's internal service account queries the database directly, bypassing the user-level OAuth flow entirely.

Privilege Abuse

Viewer agent deletes production resources

Single "agent" role grants access to all tools regardless of the underlying human's permission level.

Application Intelligence

Your app has a logic. Now you can see it.

While Anomity maps your application to hunt for vulnerabilities, it builds a complete model of what your app can do — and who can do it. Ask any question about your application's logic and get an immediate, concrete answer. We call it Application Intelligence.

Logic Map

A visual graph of your application's behavior: roles, permissions, endpoints, and the flows that connect them. Always current. Never stale documentation.

Ask Anything

"Can a read-scoped MCP client trigger a refund?" Natural language queries over your application's logic. Get an answer in seconds, not a sprint.

Agentic AI Security Validation

Autonomous AI agents validate your security continuously

Our AI agents reason about your product

Anomity deploys autonomous AI agents that explore your application from the outside - mapping APIs, workflows, permissions, business rules, and MCP tool ecosystems. Zero-friction setup. No agents on your infrastructure, no resources on your side.

We build an attack engine tailored to your logic

Using what our agents learned, we build a dedicated attack engine for your specific application logic. It chains API calls, exploits workflow gaps, escalates permissions, abuses MCP tool interactions, and tests every business rule boundary automatically.

You get findings and app intelligence

Receive detailed vulnerability reports with reproduction steps and remediation guidance. Plus, your Logic Map and natural language query interface are always live, giving your team continuous visibility into what your application can do and who can do it.

The Team

Built by veterans

We've spent 15+ years in the trenches - shipping production systems, publishing academic research, and keeping infrastructure secure at scale.

Engineering

Built and scaled enterprise-level production products. We know how real applications work - and how they break under pressure.

Research

With computer science PhDs in the team, we bring academic rigor to real-world problems.

Fortune 500 Security

Experienced in finding and disclosing vulnerabilities in enterprise systems. We've seen how the biggest companies fail - and how to prevent it.

DevSecOps

Operated infrastructure at scale. We understand the real-world constraints security solutions must work within.

15+ years building production systems · Combined expertise in engineering, research, and operations.

Apply for Access

Deploy AI-native security to beat agentic adversaries

Currently in private beta. We're partnering with forward-thinking security teams to adapt security to the AI era. Fill out the form below to apply for access.

We'll reach out to discuss your security needs.

Our AI learns what your product should do. Then finds what it shouldn't.

Scanners match patterns.AI-powered attacks exploit logic.

Core Approach

What It Finds

LLM Reasoning

MCP Server Coverage

Business Logic Discovery

Business logic flaws that scanners miss

Viewer escalated to data owner

"View only" became "full export"

Neighbor's data in your dashboard

Contract approved without legal review

45% discount past the 25% cap

Cancelled subscription still has access

Same person approves their own expense

Deprecated endpoint bypasses new security

Gift card + refund = infinite money

Single-use coupon applied to 50 orders

Your MCP tools are an attack surface

Trusted tool quietly replaced by impostor

Read-only agent rewrites the database

Tool description hijacks the AI agent

Trusted tool turns hostile after update

Fetched data triggers unauthorized transfer

Agent bypasses OAuth to access admin panel

Viewer agent deletes production resources

Your app has a logic. Now you can see it.

Logic Map

Ask Anything

Autonomous AI agents validate your security continuously

Our AI agents reason about your product

We build an attack engine tailored to your logic

You get findings and app intelligence

Built by veterans

Engineering

Research

Fortune 500 Security

DevSecOps

Deploy AI-native security to beat agentic adversaries

Scanners match patterns.
AI-powered attacks exploit logic.