TRUSTHOUSE VS AI SECURITY TOOLS

An AI firewall blocks attacks. It doesn't know your business.

Prompt-injection filters, AI firewalls and LLM gateways solve a real problem, and TrustHouse's Secure AI Gateway does that job too. Security is one pillar. You also need to know your AI is grounded in the right data, scored for business risk, and provable after the fact. Buying those separately is how enterprises end up with five tools and no single answer.

WHAT POINT TOOLS DO WELL

Fast, focused protection.

Dedicated AI security tools catch injection attempts, jailbreaks and sensitive-data leakage, and many deploy quickly. If your only concern is attack surface, a point tool can be a reasonable start.

Injection attemptsJailbreaksSensitive-data leakage

WHERE THEY STOP

Secure isn’t the same as trustworthy.

A clean response can still be wrong.

No attack, no leak, and a hallucinated answer built on stale data.

TrustHouse: Data Integrity + Context Engine

Security scores aren't business risk.

A request can be safe to process and still be a decision your business shouldn't make.

TrustHouse: AI Risk Engine

Blocked-event logs aren't provenance.

They show what was stopped. They can't show why an approved decision was made.

TrustHouse: Decision Provenance

Every extra tool is another integration.

Another console, another policy language, another vendor review.

TrustHouse: One trust layer

WHAT TRUSTHOUSE ADDS

Five capabilities. One trust layer.

Attack blockingRisk scoringData verificationBusiness contextDecision provenance

TrustHouse

Attack blocking · Risk scoring · Data verification · Business context · Decision provenance

Prompt injection and jailbreak blocking

Secure AI Gateway

Output scanning for PII, PHI and credentials

Secure AI Gateway

Agent identity and per-resource access caps

Secure AI Gateway

Business-risk scoring before execution

AI Risk Engine

Data verified before AI uses it

Data Integrity

Trusted business context

Context Engine

Decision provenance

Data-to-outcome decision trace

Replace five point tools with one trust layer.

Questions

Security is one of its pillars. TrustHouse combines security with context, risk, data integrity and provenance, so one layer covers what several point tools cover separately.

Keep it if it's working. TrustHouse adds the layers it doesn't cover, and over time you can consolidate.

TrustHouse evaluates prompts, agent actions and outputs against policy in real time.

Your AI Is Making Decisions Right Now.
Can You Defend Them?