AI & MCP Security

AI Security from the
Inside-Out.

By combining agentless scanning and runtime sensors, Kavach-AI lets security, developer and DevOps teams see their AI agents, LLM tool calls and cloud infrastructure in one operating picture — remediate exactly what matters, and stop attacks in real time.

30srefresh window
93%noise reduction
15sto detect
kavach-agent - guardrail console
➜tool_calls.inspect(agent="dgx-ops")
└─ scanning arguments vs 11 rule families
└─ tool: aws.s3.delete_bucket
✗ BLOCKED cloud-destructive · tool-abuse
 
➜tool_calls.inspect(agent="support-bot")
└─ detecting secrets in prompt…
✗ BLOCKED secret-leak · AKIA*****
 
➜call_monitor.live — 47 agents · 3 suspicious
✓ risk surfaced · auto-contained in 2.1s
🧠 Prompt Injection 🔑 Secret Leakage 🛡️ Tool Abuse ☁️ Cloud Destruction 👤 PII

Trusted by forward-looking platform & security teams

NimbusScale Harborline Vertex Bank Lumen Retail Fathom Data Skyline AI
The Agentic Era

AI infrastructure is now changing in real time — and security needs to do the same.

A new operating model, Inside-Out, links context of code to production agents in real time, letting security teams see their live AI inventory, high-signal exposures and whether an attack is already unfolding.

Live AI inventory · Refreshed every 30 seconds

Know what agents run, connect and expose

Agents, tools, data flows, MCP servers and non-human identities change too quickly for manual inventories. Kavach keeps a live map of everything — who owns it, what it reaches, and what data it can touch.

↺ 30 second discovery window
Fix high-signal exposures · 93% noise reduction

Direct remediation to the risks that actually affect production

Static severity scores create huge backlogs without showing whether a tool is reachable, exposed or connected to a likely attack path. Kavach uses live exposure to separate real risk from theoretical risk.

⚡ Focus on ~5% of alerts that matter
Real-time protection · 15 seconds to detect

Detect and stop attacks while they are happening

Config scans can't see prompt attacks, abnormal tool calls, sensitive data in motion or malicious API usage. Kavach connects runtime signals with cloud activity to spot deviations as they occur and contain them instantly.

🛑 Detection & auto-containment
The Inside-Out
AI & MCP Security Platform

One platform. Three operating modes.

Built on the engine that powers the Kavach open-source MCP middleware — trusted where agents meet production.

1M+tool calls evaluated daily
11rule families in the detection engine
2xfaster triage with runtime context
100%agentless by default
Detection Engine

Pattern-first guardrails for every LLM tool call

The same rule engine shipped in kavach-mcp powers the platform. Every agent tool call is scanned against rule families for prompt injection, secret leakage, PII, SQL injection, path traversal and destructive actions — before it reaches your infrastructure.

  • Regex-powered rules tuned by our research team
  • Strict or advisory mode per tool and per agent
  • Custom rules with full override control
  • Masked, compliance-ready audit logging
Browse the rules →
Live rule evaluation
PASSprompt scan · "summarize the incident"
BLOCKprompt-injection · "ignore previous instructions"
BLOCKsecret-leak · "api_key=sk-9f8…"
BLOCKsql-injection · "UNION SELECT * FROM users"
WARNpii · aadhaar-like 12-digit payload
PASStool-abuse · aws.s3.list_buckets (allowed)
Detection Rules

What Kavach blocks — out of the box

Eleven rule families covering the most common attacks against AI agents and the APIs they call.

Prompt Injection

Critical

System override and jailbreak attempts.

"ignore previous instructions" · "act as admin"

Data Exfiltration

Critical

Attempts to leak system data or prompts.

"dump secrets" · "print system prompt"

PII Detection

High

Aadhaar, credit cards, phone numbers.

10/12/16-digit patterns · SSN

Secret Leakage

Critical

AWS keys, OpenAI keys, private keys.

AKIA… · sk-… · -----BEGIN RSA KEY-----

SQL Injection

High

Database attack patterns.

DROP TABLE · UNION SELECT · ' OR '1'='1

Path Traversal

High

File escape attempts.

../../etc/passwd

Shell Injection

High

Command chaining attacks.

|| rm -rf · && drop database

Filesystem Destruction

Critical

Dangerous file operations.

rm -rf / · del /s /q C:\

Cloud Destruction

Critical

Delete bucket / instance / database.

aws.s3.delete_bucket · terminate instance

Dangerous Execution

Critical

Code execution attempts.

eval( · exec( · os.system(

Tool Abuse

Critical

Unsafe MCP tool usage.

filesystem.delete · db.drop

Custom Rules

Extend

Any regex you define, merged or replaced.

Rule(id="custom-ban", patterns=[…])
Customers

Trusted by platform teams in the agentic era

"Kavach acts as an extension of our security team. Within minutes of wiring the middleware into our agents, we had guardrails on every tool call — and our compliance workflow went from weeks to days."

P
Priya RaghavanDirector of Information Security · Vertex Bank

"We consolidated three runtime tools into Kavach. Live context tells us which alerts are real — our triage time dropped by roughly 10x."

M
Marcus FeldHead of Cloud Engineering · NimbusScale

"The detection engine is fast enough to sit in our hot path. Latency is negligible, and masking means even our logs are safe to ship to SIEM."

A
Aisha NkemeluStaff Security Engineer · Fathom Data
Recognition

Recognized as a leading AI-native security platform

LeaderAI Security · 2026 Analyst Radar
#1Practitioner Vote · MCP Security 2026
Startup of the YearAI Security · 2025 Industry Awards
InnovatorAgentic Security · 2026
Under Attack?

See the fight unfold before it reaches production.

Connect Kavach to your agents and MCP servers. See live inventory, high-signal risks and active containment in under ten minutes.