TechniBears
What it does
It takes the attacker’s seat. Websites, login flows, data stores and AI chat assistants, including prompt injection and guardrail bypass. Every path that opens is reported.
SAREbear // Adversarial testing Scope: web · auth · data · AI assistants Re-test: every fix Deploy: our cloud · your cloud · on-prem
Self-Articulating, Recursively Experiencing
We attack your systems before anyone else does.
SAREbear runs real attacks against your websites, logins, data stores and AI assistants. Each finding comes back as the exact path, the root cause, and the change to make. Then it attacks the fix.
Existing client? Open the SAREbear Command Deck (opens in a new tab).
01 // In plain terms
Adversarial testing, in plain English.
A finding you cannot read is a finding you cannot fix. Every SAREbear result is written for the manager who owns the risk and the engineer who closes it.
Who it is for
Teams that hold data people trust them with: patient records, accounts, student files. Hospital IT, bank compliance, school districts, growing companies.
What you get
For each finding: the attack path, the root cause, the change to make. Then a second round that proves the fix holds, or shows exactly where it does not.
02 // Case
A booking assistant leaks patient details.
Illustrative engagement. Not a real client.
A clinic group added an AI assistant to its website so patients could book visits and ask simple questions. It was fast, polite and always on.
Before expanding it, the IT lead put it in SAREbear’s scope. Within a day, SAREbear found that a message claiming to be from the clinic manager could get the assistant to read out another patient’s appointment. No alarm fired. The assistant believed it was being helpful.
The finding was one page: what happened, why it worked, what to change. The team shipped the fix that week. SAREbear re-ran the original attack and twelve variations. All thirteen were refused.
03 // Method
Test. Explain. Fix. Test again.
Most assessments hand you a report and leave. SAREbear stays on the finding until the fix is proven.
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Agree the scope
Together we list exactly what is in scope: a site, a login flow, an assistant, a data store. Nothing outside that list is touched.
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SAREbear attacks
It runs the techniques a real adversary would, including prompt injection and guardrail bypass against AI assistants. Every path that opens is recorded.
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It writes up the path
Each finding states the exact attack path and the root cause, in language a manager can follow and an engineer can act on.
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It attacks the fix
After your change ships, SAREbear re-runs the original attack and tries new angles around it. You get proof, not a promise.
04 // Finding format
One page per finding. No filler.
Every finding comes back in this shape: what happened, why it worked, what to change, and whether the re-test passed.
Finding 01
Illustrative example
Website chat assistant
The website chat assistant can be talked into disclosing booking details
- What happened
- A message claiming to be from the clinic manager got the assistant to read out another patient’s appointment time.
- Why it worked
- The assistant trusted the identity asserted inside the message instead of the identity of the signed-in session.
- What to change
- Bind every booking lookup to the authenticated user. Ignore identity claims made inside the message body.
- Re-test result
- Fix holds The original attack and twelve variations were all refused.
05 // Where it applies
Built for places where a breach costs more than money.
Three illustrative engagements. Not client stories.
Hospital IT lead
“Is the patient portal safe?”
The exposure: a new portal and a symptom-checker assistant now sit between the public and private health records.
What SAREbear does: tests both, shows exactly where an outsider gets through, and re-tests the fixes before launch.
Bank compliance officer
“Can I prove we checked?”
The exposure: the customer-service assistant must never disclose account details or give advice it is not licensed to give.
What SAREbear does: leaves a record of what was tried, what failed, what was fixed and proof each fix held. Ready for auditors and the board.
School district
“Will the AI tutor stay in bounds?”
The exposure: students probe. One could talk the tutor into unsafe content, or into another student’s file.
What SAREbear does: runs the techniques a motivated student would, reports what worked, and confirms the guardrails hold after tightening.
06 // Terms of engagement
Scoped. Private. Proven.
How every engagement is bounded.
- Scope is explicit. We test what is on the list and nothing else.
- Data stays inside your perimeter. SAREbear can run inside systems you control, so sensitive data never has to leave.
- Findings are written in plain English. What happened and why, with the evidence attached.
- Fixes are re-attacked, not assumed. Nothing is closed until the re-test passes.
- Your team decides what to change and when. SAREbear reports. You approve.
- We run it on ourselves. Cody runs behind SAREbear’s checks, with each person’s memory partitioned from everyone else’s.
07 // Technical briefing
The full briefing, for engineers.
This page is the overview. The technical briefing and the Command Deck are for your security team.
Technical briefing
The interactive briefing for engineers and security teams: how SAREbear attacks, explains and re-attacks, with a live simulator.
SAREbear Command Deck
The operator console. Teams sign in to deploy SAREbear and read verified results. Existing clients only.
08 // Questions
Straight answers.
Will testing break anything or take us offline?
Scope and test windows are agreed before anything runs. Anything you mark as sensitive is excluded. If a test looks like it could disrupt a system, it stops and we talk first.
We don’t have a security team. Is this still for us?
Yes. Findings are written so an owner or manager can follow them, with steps your IT contact or software vendor can act on. If you need the fixes built, our Services team can do that.
What does “testing our AI” actually mean?
AI assistants follow instructions like “never share account details.” Prompt injection is wording a message so the assistant breaks that rule. SAREbear runs those attacks on purpose, so you learn which rules bend before an outsider does.
Does our data have to leave our building?
No. SAREbear can run inside infrastructure you control. We settle the deployment model in the first conversation.
How is this different from a normal security audit?
An audit is a snapshot, and it goes stale the moment the software changes. SAREbear explains why each attack worked, then re-attacks your fix, so you end with proof rather than a to-do list.
Why is it called SAREbear?
Self-Articulating, Recursively Experiencing bear. It explains itself, and it keeps going back to test again. The bear is the house mark.
Scope an engagement
Find the path in before someone else does.
Tell us what you want tested. We reply with a scope and a plan.
Or write directly to agi@technibears.com