Salus

Build a custom SQL agent - Docs by LangChain

docs.langchain.com

My SQL langchain agent seems to be limiting its answers to ...

stackoverflow.com

langchain-ai/sql-agent-system-prompt

smith.langchain.com

'Talk' to Your SQL Database Using LangChain and Azure ...

towardsdatascience.com

Using LangChain and Azure OpenAI to Talk’ to Your SQL Database

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Stop Endless Back-and-Forth — Add Model Call Limits in ...

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Video1 ref

Building a Robust SQL Agent: The Art of Prompt Engineering

linkedin.com

Social1 ref

Stop LLM SQL Mistakes: 5 LangChain Tool Policies - Medium

medium.com

Security policy - Docs by LangChain

docs.langchain.com

LangChain Middleware: Taking Control of Your Agent's ...

python.plainenglish.io

Security - langchain-ai/deep-agents-ui - GitHub

github.com

Prevent Hallucinated Responses from any AI Agent - Cleanlab

cleanlab.ai

www.reco.ai

reco.ai

A guide to safeguarding against indirect prompt injections - AWS

aws.amazon.com

Brand Identity

Brand Voice & Style

How AI perceives Salus's communication style and personality

Salus communicates with a technically sophisticated yet accessible voice that speaks directly to developers and engineering teams. The tone is confident and security-focused, emphasizing protection and reliability without being alarmist. They use clear, concise language with technical precision, demonstrating deep understanding of AI agent architecture while keeping messaging approachable. The brand conveys urgency around AI safety while maintaining a calm, professional demeanor that instills trust.

Core Tone Traits

Technically Precise

Uses accurate developer terminology and code examples to demonstrate credibility

Security-Focused

Emphasizes protection, validation, and preventing costly mistakes

Developer-Friendly

Speaks directly to engineers with practical, implementation-focused messaging

Confident & Trustworthy

Projects authority in AI safety without being alarmist or fear-mongering

Visual Identity

Primary

#0A0F1A

Secondary

#FFFFFF

Accent

#2DD4BF

Background

#FFFFFF

Foreground

#111111

Backing

Investors

Y Combinator

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned February 27, 2026.

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Businesses/Software/Salus

AI Visibility & Sentiment

Salus

Active Monitoring

usesalus.ai

Software YC25-26

AI Visibility Score

11/100

Invisible

Sentiment Score

71/100

Score by Priority

core

adjacent

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Salus today.

Working in your favor

Secured a high-ranking position (#2) on Claude specifically for queries regarding protection against adversarial attacks and prompt injection.

Shows a relative strength with the Enterprise CISO persona, achieving a 30% mention rate compared to zero visibility with other technical personas.

Maintains positive sentiment across all LLM mentions, indicating that when the brand is known, it is viewed as a favorable security solution.

Gaps to close

Complete invisibility in Google AI Overviews (0% mention rate), missing out on the primary discovery layer for modern search.

Fails to appear in critical 'production reliability' queries, allowing LangChain and Pydantic to own the troubleshooting narrative.

Total lack of presence for the Lead AI Architect and High-Growth Startup CTO personas, who are the primary evaluators of runtime guardrail tools.

Opportunities

Capture market share in the 'runtime guardrails' category by creating structured technical content that mimics the successful data patterns of Guardrails AI.

Leverage the existing 30% CISO visibility to build a 'Security-First' authority narrative that targets the enterprise transition from pilot to production.

Improve ChatGPT positioning from #31 to the top 10 by optimizing API documentation for LLM indexing and retrieval.

Highest-Impact Actions

Publish a series of technical 'How-To' guides specifically for fixing AI agent database errors and production reliability.

This directly addresses the high-volume queries where Salus is currently invisible, allowing it to challenge LangChain's dominance in troubleshooting.

Implement structured data and FAQ schemas focused on 'AI Runtime Guardrails' and 'Adversarial Defense'.

With 0% visibility in AI Overviews, the brand needs technical SEO signals that LLMs use to generate summary responses.

Develop a dedicated 'Salus for CISOs' resource hub.

The data shows the Enterprise CISO is the only persona where Salus has a foothold; deepening this content will solidify its primary entry point into the enterprise.

Value Proposition

Validate and block incorrect AI agent actions at runtime before they execute, with structured feedback that enables agents to self-correct and retry, protecting businesses from costly mistakes.

Overview

Mission

Protect businesses from costly AI agent mistakes by validating actions before they execute.

Products & Services

Runtime Guardrails for AI agentsSelf-Repair feedback systemReal-time agent monitoring and visibilityAdversarial evaluation testingPython SDK integration

Current State

Visibility Landscape

A high-level view of how Salus performs across AI platforms, broken down by strategic priority level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	70	70	70	70
“What do you know about Salus? What do they do and what's their reputation?”	Yes	Yes	Yes	Yes
Core4q Product/service category queries	35	42	0	0
“how do i stop my langchain agent from making weird database calls it shouldn't be doing?”	#31	No	No	No
“best way to protect my ai agents from prompt injection and adversarial attacks, what products should i look at?”	No	#2	No	No
“compare the best runtime guardrail tools for ai agents right now”	—	No	No	No
“what tools can i use for real-time monitoring and visibility of autonomous agents in production?”	—	No	No	No
Growth Areas1q Adjacent, aspirational & visionary	—	0	85	0
“help me build a system where my ai agent can fix its own errors before the user sees them”	—	No	#5	No

“What do you know about Salus? What do they do and what's their reputation?”

Yes

“how do i stop my langchain agent from making weird database calls it shouldn't be doing?”

#31

“best way to protect my ai agents from prompt injection and adversarial attacks, what products should i look at?”

“compare the best runtime guardrail tools for ai agents right now”

—

“what tools can i use for real-time monitoring and visibility of autonomous agents in production?”

—

“help me build a system where my ai agent can fix its own errors before the user sees them”

—

Competitive Landscape

LangChain

30 mentions

LangGraph

18 mentions

Pydantic

15 mentions

LangSmith

15 mentions

Guardrails AI

13 mentions

CrewAI

11 mentions

Lakera Guard

8 mentions

sqlparse

7 mentions

Arize Phoenix

7 mentions

Datadog

7 mentions

Salus

3 mentions

Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Salus's AI visibility.

Key Findings

Strength

Secured a high-ranking position (#2) on Claude specifically for queries regarding protection against adversarial attacks and prompt injection.

Strength

Shows a relative strength with the Enterprise CISO persona, achieving a 30% mention rate compared to zero visibility with other technical personas.

Strength

Maintains positive sentiment across all LLM mentions, indicating that when the brand is known, it is viewed as a favorable security solution.

Recommended Actions

Publish a series of technical 'How-To' guides specifically for fixing AI agent database errors and production reliability.

This directly addresses the high-volume queries where Salus is currently invisible, allowing it to challenge LangChain's dominance in troubleshooting.

Implement structured data and FAQ schemas focused on 'AI Runtime Guardrails' and 'Adversarial Defense'.

With 0% visibility in AI Overviews, the brand needs technical SEO signals that LLMs use to generate summary responses.

Develop a dedicated 'Salus for CISOs' resource hub.

The data shows the Enterprise CISO is the only persona where Salus has a foothold; deepening this content will solidify its primary entry point into the enterprise.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

Programmatic Testing

Sample Conversations

ChatGPT

Claude

Gemini

AI Overviews

Ensuring Production Reliability For AI Agents(3 queries)

“how do i stop my langchain agent from making weird database calls it shouldn't be doing?”

0/4 platforms mentioned

Core

ChatGPT

1.sqlparse

2.pglast

3.LangChain

4.SQLAlchemy

Claude

1.LangChain

2.Python

3.Pydantic

Gemini

1.LangChain

2.PostgreSQL

3.Supabase

4.Pydantic

5.sqlparse

+3 more

AI Overviews

1.LangChain

2.GitHub

3.SQLDatabaseToolkit

4.SQLDatabase

5.ModelCallLimitMiddleware

+2 more

“help me build a system where my ai agent can fix its own errors before the user sees them”

0/3 platforms mentioned

Adjacent

The Lead AI Architect · Lead AI Architect

Claude

1.LangGraph

2.Python

3.TypeScript

4.gpt-4-turbo

5.gpt-3.5

+2 more

Gemini

1.LangGraph

2.Pydantic

3.Claude 3.5 Sonnet

4.GPT-4o

5.Lakera

+8 more

AI Overviews

1.GPT-5

2.Claude 3.5

3.LangSmith

4.Langfuse

5.LangGraph

+3 more

“what tools can i use for real-time monitoring and visibility of autonomous agents in production?”

0/3 platforms mentioned

Core

Claude

1.LangSmith

2.LangChain

3.LangGraph

4.Langfuse

5.Jaeger

+4 more

Gemini

1.LangGraph

2.LangChain

3.OpenTelemetry

4.LangSmith

5.Helicone

+10 more

AI Overviews

1.Galileo AI

2.Maxim AI

3.Braintrust

4.LangSmith

5.LangChain

+11 more

Source Intelligence

Citations

Limit Data and Enforcing Security for SQLDatabase & Agents

github.com

Build a custom SQL agent - Docs by LangChain

docs.langchain.com

My SQL langchain agent seems to be limiting its answers to ...

stackoverflow.com

langchain-ai/sql-agent-system-prompt

smith.langchain.com

'Talk' to Your SQL Database Using LangChain and Azure ...

towardsdatascience.com

Using LangChain and Azure OpenAI to Talk’ to Your SQL Database

medium.com

Stop Endless Back-and-Forth — Add Model Call Limits in ...

youtube.com

Video1 ref

Building a Robust SQL Agent: The Art of Prompt Engineering

linkedin.com

Social1 ref

Stop LLM SQL Mistakes: 5 LangChain Tool Policies - Medium

medium.com

Security policy - Docs by LangChain

docs.langchain.com

LangChain Middleware: Taking Control of Your Agent's ...

python.plainenglish.io

Security - langchain-ai/deep-agents-ui - GitHub

github.com

Prevent Hallucinated Responses from any AI Agent - Cleanlab

cleanlab.ai

www.reco.ai

reco.ai

A guide to safeguarding against indirect prompt injections - AWS

aws.amazon.com