AI Security and Model Testing That Goes Beyond the Buzzwords to Make Sure AI Isn’t Your Weakest Link

If AI is part of your operations, your product, or your decision-making, it’s part of your attack surface. Everyone claims they can “test your AI”. What they really mean is that they’ll point an AI tool at your application and hope for the best.  

At Point Solutions Security, we don’t test AI with AI and call it a day. We test the models, logic, integrations, data flows, AND the real-world behavior of the systems you’re trusting with your business. 

We break into your house, hand you the keys back, and make sure your AI isn’t handing them to someone else. 

AI Penetration Testing That Breaks Your AI Before Attackers Do

Most pentests stop at the front door (API interface). Attackers don’t. If your AI can be tricked, manipulated, or coaxed into doing something you don’t want it to, that risk lives inside the model; and that’s exactly where we go.

We don’t just test whether your AI works. We test how it fails under pressure, so you’re not learning that lesson at an inconvenient time that grinds your operations to a halt.

What we test and why it matters:

Prompt injection & adversarial prompts
We check how easily your AI can be talked into ignoring rules, leaking info, or doing other things it shouldn’t.
Output manipulation & unsafe responses
If your model can be sweettalked into generating harmful, misleading, or brand-destroying output, we’ll find out before your clients or regulators do.
Unauthorized data extraction
Find out whether sensitive data can be pulled from your LLM through clever questioning, not hacking tools.
Business logic abuse
We identify ways attackers can exploit how your AI thinks to bypass controls, automate fraud, or break workflows without ever touching your infrastructure.
Model drift & unexpected reasoning paths
Uncover how your AI behaves when it learns the wrong lessons over time. The last thing you want is drift from a helpful tool to a liability when no one is paying attention.
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Ensure Your LLM is “Loyal” with Model Security Evaluation

Large Language Models introduce entirely new ways to break your systems, without touching your code, API, or infrastructure. That’s why we test the model itself: how it reasons, what it remembers, and how easily a bad actor could manipulate it.

What we test and why it matters:

Over-permissioned system prompts
You know the phrase, “trust no one”? Well, that should apply to your AI model too. We find hidden instructions that give your model more power than it needs.

Unsafe internal reasoning & chain-of-thought patterns
If your model exposes the way it makes decisions, attackers can reverse-engineer logic, bypass safeguards, or exploit decision paths you didn’t know existed.

Training data or embedding leakage
We test whether sensitive data can be reconstructed or inferred from the model.

Access escalation via conversation
We check whether an attacker can use clever dialogue to talk their way into elevated access or restricted actions.

Context window & multi-agent memory attacks
See how your model performs in a stress-test of long conversations, shared memory, and agent coordination.


Attack-Proof Your AI Ecosystem with Integration & Data Flow Validation

Your AI is only as safe as the system it trusts. Most AI breaches don’t start with the model; they slip in through the APIs, data pipelines, and integrations.

What we test and why it matters:

API trust boundaries
We test for trust issues…no, not the ones your ex left you with. We test whether your systems trust each other too much, which could turn a compromised API into a full-blown incident.

Data validation & sanitization gaps
If bad data can sneak in, it can manipulate decisions, poison outputs, or quietly corrupt downstream systems without setting off alarms.

Sensitive data shared with external services
We identify where your confidential data is leaving your environment, so you don’t discover it later during an audit or breach notification.

Overly broad & unnecessary permissions
We expose integrations that have way more access than they need.

Orchestration pipelines with implicit trust
Attackers love assumptions. That’s why we hunt for pipelines that assume everything upstream is trustworthy.
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Map Open Connections & Exposure Before Someone Else Finds Them

AI isn’t confined to one place anymore. It spans cloud, data stores, endpoints, and third-party services. We map your environment the way attackers do, so you know exactly what is exposed before the bad guys find it.

What we test and why it matters:

Open inference endpoints
Any endpoint your AI exposes is a potential entryway for attackers. We find them so you’re not leaving the keys under the welcome mat.
Public model APIs
If your APIs aren’t locked down, they can be abused to extract sensitive data or manipulate your model’s behavior. We expose them before someone else does.
Unsecured vector or embedding databases
We identify public or poorly protected embeddings and make sure your data isn’t served up on a platter.
AI services reachable from the public web
Services that can be scraped, pinged, or abused from the internet are high-risk. We find them and show you how to lock them down.
Cross-cloud & cross-service connections
Complex integrations are great for speed, but dangerous if trust isn’t controlled. We identify weak links before they turn into breaches.
Hidden dependencies that increase risk
Sometimes your systems depend on each other in ways you don’t even realize. We pinpoint those stealthy dependencies before they harm you.
Why Point Solutions Security Is Your Best AI Insurance

AI security isn’t about checking boxes or running scans. It’s about understanding exactly how your AI can fail and fixing it before someone else takes advantage of it. That’s the depth we bring: engineers who speak model, cloud, data, and risk fluently. 

The Point Solutions Security advantage: 

Offensive AI Security Expertise

We think like attackers, so you don’t have to. Your AI gets stress-tested, so there are no blind spots for someone else to exploit.

Compliance That Doesn’t Suck

ISO, SOC 2, NIST, and more; get aligned frameworks that protect your business instead of creating more paperwork.

Engineer-Level Understanding of Your Stack

We dive into the guts of your AI, cloud, and app logic, so recommendations actually make sense.

Clear Findings & Remediation Guidance

No bullshit, fluff, or vague reports here. You get actionable steps that strengthen your AI, reduce risk, and keep your business out of trouble.

Let us show you exactly how your AI can fail, so we can make damn sure it never does.

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