INS — MCP Security Gateway
AI agents now access databases, send emails, write code, and move money. INS is the control layer that sits between your agents and the outside world — enforcing what they can and cannot do.
Control what each agent is allowed to do
Different agents have different jobs — and different risks. INS lets you define exactly which tools, data sources, and actions each agent can access. Policies are enforced automatically on every request, with no changes to agent code.
Stop prompt injection attacks before they execute
Attackers can hijack AI agents by embedding hidden instructions in documents or messages the agent processes. INS detects and blocks these attempts in real time — a threat category that traditional firewalls and SIEMs don't see at all.
Prevent sensitive data from leaving your systems
INS automatically detects and masks personal identifiers — SSNs, card numbers, health records, passport data — before an agent response reaches the end user. Keeps you compliant with GDPR, HIPAA, and SOC 2 without slowing the agent down.
Full audit trail — ready for regulators and customers
Every agent action is logged with context: who, what, when, which tool, what was returned. When a regulator or an enterprise customer asks "show us what your AI did with our data," you have the answer — exportable as PDF or JSON in one click.
Catch unusual behavior before it becomes a breach
INS tracks what normal looks like for each agent and alerts you the moment something changes — a spike in requests, access to a new tool, activity outside business hours. Early signal, not a post-mortem.
Evidence of AI governance — for deals that require it
Enterprise buyers and regulators increasingly require proof that AI systems are governed and auditable. INS gives your security team the documentation layer to answer those questions — closing deals that would otherwise stall on the security questionnaire.
Stop runaway agents before they run up the bill
An agent stuck in a loop — or deliberately triggered to make thousands of requests — can generate serious API costs in minutes. INS enforces rate limits per agent so one bad actor, one bad prompt, or one bad day doesn't become a budget crisis.
Protect against malicious tools your agent connects to
MCP servers your agent relies on can be compromised — or were never trustworthy to begin with. INS inspects tool responses before the agent acts on them, blocking instructions that would cause the agent to exfiltrate data, escalate privileges, or execute unintended actions. A threat category unique to MCP that no generic security tool covers.
Stop AI agents from corrupting your data
An agent with write access to your database or file system can delete records, overwrite files, or execute bulk updates with no rollback. INS lets you mark tools as read-only, block destructive operations that match dangerous patterns — DROP, DELETE without WHERE, bulk overwrites — and require human approval before any irreversible action is taken.
Model Context Protocol (MCP) is an open standard for AI agents to interact with external tools and data sources. MCP introduces new attack surfaces such as tool poisoning, rug pull attacks, and data exfiltration through tool responses. Intelligent Nexus Security sits between AI clients and MCP servers to detect and prevent these threats.
Intelligent Nexus Security deploys as a transparent proxy between your AI clients and MCP servers. Simply point your MCP clients to Intelligent Nexus Security instead of directly to your MCP servers. No code changes required on either the client or server side.
Intelligent Nexus Security detects tool poisoning (malicious instructions hidden in tool descriptions and parameter schemas), rug pull attacks (tool descriptions silently modified after approval, tracked via SHA-256 hashing), tool shadowing (same tool name registered across different servers), secret and credential leaks (API keys, tokens, and webhooks from 20+ platforms), PII leakage through tool responses, data exfiltration attempts, and unauthorized tool access. Both requests and responses are scanned bidirectionally with 300+ specialized detection patterns.
Yes. You can define granular policies based on agent identity, tool name, MCP server, time of day, and request parameters. Policies support multiple actions including allow, deny, require approval, rate limiting, and response masking.
Join the waitlist with your email. We're onboarding teams in batches and prioritizing organizations actively using MCP in production. You'll get access to the full platform including all security features, dashboard, and API.
Most security tools check whether an agent is allowed to call a tool. We go deeper: we analyze what each specific call will actually do at runtime, track how data moves across multiple tool invocations, and detect threats from the very first interaction without needing a training period. This means we catch attacks that look perfectly normal at the individual request level.