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DBSheriffAI
Your databases, protected
from the inside out.

Sun AI and Data LLC June 2025 Enterprise Security & AI/ML Private Subnet Native

Your SIEM, your DLP, and your firewall all act after the query completes. DBSheriffAI closes that gap — scoring every active database query with AI in real time and terminating confirmed threats before a single result row leaves your database. Fully inside your private network. Zero vendor data exposure.

🔒
The DBSheriffAI Private-Subnet Guarantee

DBSheriffAI is deployed entirely within your own private network — your AWS VPC, GCP VPC, Azure VNet, or on-premises data centre. Zero outbound internet connections are required at runtime. No query text, no user identity, no schema name, no event record, and no credential ever leaves your security perimeter. This is not a configuration option. It is the only way DBSheriffAI operates.

The Gap in Your Security Stack

Your existing tools are excellent.
They just can't reach this moment.

Your SIEM catches anomalies in logs. Your DLP stops data at the network edge. Your firewall controls what enters and leaves the perimeter. Your access management controls who can connect. These are all critical, well-designed layers — and DBSheriffAI is not here to replace any of them. It fills the one gap they all share: the live window inside your database while a query is actively running.

Insider threats, compromised credentials, overprivileged service accounts, runaway data exports — regardless of how the attacker got access, the actual damage moment is always the same: a database query running inside your environment, pulling data it should not touch. By the time your SIEM sees the log entry, the query has completed and the data has moved. By the time DLP flags the traffic, the result set has already left the database.

The only window that matters is when the query is still running. That five-second gap between query start and query completion is when the threat is stoppable — and it is a blind spot for every other tool in your stack. That is the single moment DBSheriffAI was built for.

$4.9M
Average cost of a
data breach
(IBM, 2024)
277
Days to identify
& contain
a breach
83%
Of breaches involve
database or
application-layer data
<5s
DBSheriffAI's window
from query start
to decision

Security Philosophy

The tool that guards your data
must never become a risk itself.

Think about what a database security product actually processes: live query text, database usernames, schema names, access patterns, and session context. This is among the most sensitive operational intelligence in your entire environment. Any solution that routes this data through a vendor's cloud introduces a new attack surface — one you cannot fully audit, do not control, and may not even know about.

DBSheriffAI was built around a single non-negotiable principle: the security tool that watches your databases must itself be completely isolated from the outside world. There is no "cloud mode" to accidentally enable. There is no telemetry pipeline that needs to be turned off. There is no third-party processor that handles your query data. Everything happens inside your perimeter because the software was never written to send data anywhere else.

“We built DBSheriffAI the way we'd want it built if it were protecting our own data — as a guest inside our network, not a window into it.”

— Sun AI and Data LLC, Product Team
🔒  What stays inside your perimeter — always
Every live query text and SQL statement
Database usernames and session identities
Schema names and table access patterns
Risk scores and AI model decisions
Kill decisions and audit event records
The AI model itself — trained on your data
All credentials and connection strings
Everything. No exceptions.

Where DBSheriffAI Fits

A new layer in your stack —
not a replacement for what you have.

DBSheriffAI is designed to sit alongside your existing security investments, not compete with them. Your SIEM still correlates events. Your DLP still monitors network traffic. Your firewall still controls access. DBSheriffAI adds the one layer that operates inside the database itself, in real time, filling the blind spot none of the others can reach. Adding DBSheriffAI does not create gaps in your existing coverage — it closes one.

Security Layer What It Covers 🔒  DBSheriffAI's Role
Firewall / Network Security Controls who can reach your network and databases Complements — acts on queries from already-authorised connections
Identity & Access Management Controls who can log in and what permissions they hold Complements — catches abuse of legitimate, authorised credentials
SIEM / Log Analytics Detects anomalies in historical log data — after the fact Complements — acts in real time while the query is still running
DLP (Data Loss Prevention) Flags data exfiltration at the network edge — after query completes Complements — terminates the query before data ever reaches the edge
Database Activity Monitoring Logs and audits query activity — observe only, no termination Extends — adds AI risk scoring and active termination capability
The Live Query Window Not covered by any of the above DBSheriffAI — this is the gap it was built for
◆  How it works — at a glance
🗄️
Step 1
Your Databases
All 6 engines monitored simultaneously — no agents, no schema changes
🤖
Step 2
AI Risk Engine
Every active query scored in real time — behavioural AI trained on your own data
Step 3
Instant Decision
Confirmed threats flagged before a single result row leaves the database
🛡️
Step 4
Terminate & Audit
Threat connection killed. Every action logged. Full audit trail retained
🔒  100% inside your private subnet. No query text, no user identity, no schema name ever leaves your network. Full architecture and AI model design shared during a private technical discussion.
◆  Important — DBSheriffAI introduces zero new security risks

Because DBSheriffAI runs entirely within your private network with no outbound connectivity, it does not create a new attack surface, a new data processor relationship, or a new compliance obligation. Adding DBSheriffAI to your stack increases your security coverage without introducing any of the risks that SaaS-based tools bring. Your existing tools continue to operate exactly as before — DBSheriffAI simply covers the moment they cannot reach.


What DBSheriffAI Does

Real-time AI protection that adds
a layer nothing else provides.

DBSheriffAI continuously monitors every active query across all your database engines, working silently alongside your existing security tools without interfering with them. It applies an intelligent, multi-layered risk decision to each query — ensuring your trusted DBAs and service accounts are never falsely blocked, your most sensitive tables are protected by hard policy regardless of anything else, and all other queries are evaluated by a self-learning AI model trained exclusively on your own environment's patterns.

When a query is confirmed as a threat, DBSheriffAI terminates the database connection immediately — using only the database engine's own native commands, with no proxy layer, no traffic interception, and no changes to your network configuration. Your existing tools continue to do what they do. DBSheriffAI handles the moment they cannot reach. Every decision is written to a durable audit log inside your private network, feeding directly into your SIEM and compliance reporting workflows.

▲  Start safely — detect first, terminate when you're ready

New deployments run in detect-only mode by default. The full AI pipeline scores every query and flags threats, but no connections are terminated until your team explicitly enables it — with a single environment variable. You see exactly what DBSheriffAI would have stopped before you let it act. Most customers validate in two weeks and enable active protection with full confidence.


Key Capabilities

Everything you need.
Nothing that puts you at risk.

📹
Adds a Layer — Replaces Nothing
DBSheriffAI is designed to complement your SIEM, DLP, firewall, and IAM — not replace them. It covers the one blind spot they all share: the live window inside your database while a query is actively running. Your existing tools keep doing exactly what they do.
Acts While the Threat Is Still Stoppable
Every other tool in your stack acts after the query completes — on logs, on network traffic, on completed events. DBSheriffAI acts while the query is running, before results are returned. That is the only moment termination is possible.
🔒
Adds Security — Introduces Zero New Risk
Because DBSheriffAI runs entirely within your private subnet with no outbound internet access, it does not create a new attack surface, a new vendor relationship, or a new compliance obligation. It increases your coverage without adding any of the risks a SaaS tool would bring.
🧠
AI Trained on Your Environment
The risk model learns what normal looks like for your users, your schemas, and your query patterns — not someone else's. This makes it significantly more accurate than any shared-model approach. And it improves automatically over time.
🔐
Hard Stops for Your Most Sensitive Data
Define your critical tables — salary records, PII, PHI, payment data — and DBSheriffAI enforces zero-tolerance access controls on them regardless of who is asking or what the AI model scores. Policy is deterministic. No exceptions.
📈
Full Audit Trail for Every Decision
Every action — every kill, every allow, every flag — is written to a permanent audit log inside your network. Pull any incident report instantly. Satisfy your SOC 2, PCI-DSS, HIPAA, and GDPR evidence requirements on demand.
🔨
Installs Without Touching Your Databases
No schema changes. No stored procedures. No triggers. No database agents. DBSheriffAI reads from monitoring views that every supported engine already exposes natively. Your production databases are untouched.

What Sets DBSheriffAI Apart

Most tools watch and wait.
DBSheriffAI watches and acts.

Database monitoring has existed for decades. What has not existed — until now — is a solution that combines real-time AI scoring, instant query termination, and zero vendor data exposure in a single platform that introduces no new risk of its own. Every architectural decision in DBSheriffAI was made with one question: would a CISO be comfortable with this?

🔒
Your data never leaves your perimeter
Most monitoring platforms offer a cloud dashboard — which means your query text, user identities, and access patterns travel to a vendor's infrastructure. DBSheriffAI has no cloud component at runtime. Zero outbound connections. Fully air-gappable. Your data stays exactly where it is.
Traditional tools Cloud telemetry, vendor-hosted dashboards, SaaS data pipelines  ·  DBSheriffAI 100% private subnet — no data ever reaches a vendor
Stops the threat — doesn't just log it
Traditional monitoring tools detect anomalies and send an alert to a human who then decides what to do. By the time a human responds, the query has completed and the data has moved. DBSheriffAI terminates the offending query in the same detection window — closing the gap between detection and response to near zero.
Traditional tools Detect → Alert → Human reviews → Human acts (minutes to hours)  ·  DBSheriffAI Detect → Score → Terminate (seconds, automated)
🧠
AI that learns your workload — not just rules
Signature-based and rule-based systems can only catch threats they have already seen. Novel attack patterns, insider threats from legitimate accounts, and low-and-slow exfiltration sail past rules undetected. DBSheriffAI's ML model scores every query against the behavioural baseline of your actual users and workloads — and continuously retrains on new audit data.
Traditional tools Rules and signatures — known threats only  ·  DBSheriffAI ML scoring on your real query patterns — catches novel threats
🔒
No new attack surface introduced
Every security tool you add is itself a potential vulnerability. Database agents, network appliances, and cloud connectors all need to be hardened, patched, and monitored. DBSheriffAI requires no agents, no schema changes, no new network paths, and no stored procedures. It reads from monitoring views your database already exposes — and adds nothing that an attacker could exploit.
Traditional tools Agents, appliances, network taps — each a new attack surface  ·  DBSheriffAI Zero new components on your databases — nothing new to harden
📈
Deploys on infrastructure you already own
Enterprise database monitoring solutions are historically expensive to procure, slow to deploy, and require dedicated hardware or licenced appliances. DBSheriffAI runs on your existing AWS VPC, GCP VPC, Azure VNet, or on-premises Kafka and Spark infrastructure. No new hardware to buy. No new licences to negotiate. No systems integrator required.
Traditional tools Dedicated appliances, separate licences, slow deployment cycles  ·  DBSheriffAI Runs on infrastructure you already pay for — deploys in days
📋
Adds a layer — never disrupts what you have
DBSheriffAI is not asking you to rip out your SIEM, replace your DLP, or reconfigure your firewall. It sits alongside every tool you already trust and fills the one window they all share: the live query window between authentication and data movement. Your existing security investment stays fully intact.
Traditional tools Often positioned as replacements — requiring costly migrations  ·  DBSheriffAI Purely additive — complements SIEM, DLP, firewall, and IAM

Database Support

Works across your entire
database estate.

DBSheriffAI protects all major database engines through a single, unified platform. Whether your environment runs one engine or six, on-premises or in the cloud, DBSheriffAI provides consistent protection with a single configuration, a single audit log, and a single AI model watching everything.

🐘 PostgreSQL
🪄 SQL Server
🐳 MySQL / Aurora
🛠 Oracle DB
🍃 MongoDB
❄ Snowflake

Deployment

Runs inside your infrastructure —
wherever that is.

DBSheriffAI deploys inside your existing cloud or on-premises environment. It integrates with the managed services you already use — your Kafka, your Redis, your Kubernetes cluster — so there is nothing new to operate outside your perimeter. Kubernetes manifests and standalone deployment guides are included for all supported platforms.

▲  Supported deployment targets
AWS — EC2 standalone or EKS, fully within your VPC
GCP — Compute Engine or GKE, private VPC
Azure — VM or AKS, within your VNet
On-Premises — bare metal, VMware, or private Kubernetes — full air-gap supported

Compliance & Governance

Built for regulated industries
where breaches are existential.

Financial services, healthcare, government, and defense organizations live under a simple reality: a single data breach is not just expensive — it can be company-ending. Regulators, auditors, and boards all ask the same question: “Can you show us that access to sensitive data was actively monitored and controlled?” DBSheriffAI gives you a definitive yes — filling the monitoring gap inside your database layer that your existing tools leave open, and providing the audit evidence to prove it.

And critically, adding DBSheriffAI does not expand your compliance scope — it strengthens it. There is no new data processor to assess under GDPR. No BAA to negotiate under HIPAA. No PCI-DSS third-party review. No new vendor with access to your query data. DBSheriffAI adds a compliance control without adding a compliance burden.

◆  Regulatory frameworks DBSheriffAI supports

SOC 2 Type II  ·  PCI-DSS  ·  HIPAA  ·  GDPR  ·  FedRAMP  ·  ITAR-sensitive environments  ·  Internal database access control policies


Business Case

One avoided breach pays for
years of protection.

The average enterprise data breach costs $4.9 million — before regulatory fines, litigation, customer churn, and the operational cost of incident response. For financial services and healthcare organizations, a single major breach can reach nine figures in total exposure. DBSheriffAI deploys on infrastructure you already own or pay for. There are no per-query charges, no per-database seat fees. The cost of protection is a rounding error against the risk it eliminates.

6
Database engines
supported
4
Cloud & on-prem
platforms
0
Schema or agent
changes required
0
Bytes leaving
your perimeter

See the layer your stack
is missing — DBSheriffAI

We walk you through a live demonstration and show you exactly where DBSheriffAI sits alongside your existing SIEM, DLP, and access management tools — and the specific moment in your database activity it covers that nothing else does. No slides. No pitch deck. Just the product, your stack, and an honest conversation about whether it fits.

Free initial consultation · No commitment required · NDA available before any technical discussion