Sidecar Security

The first dynamic AI firewall to confidently deploy safe, effective, and trustworthy Generative AI.

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The alignment platform to make AI safe and effective

AutoAlign’s Sidecar solutions are the first AI supervisors that dynamically interact with LLMs to make them safe, secure, and effective.
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Make any LLM safer, smarter, and stronger.

Reduce Hallucinations

Detect and mitigate ungrounded answers, and warn or highlight unfounded content.

Prevent Hacking

Detect and prevent sophisticated prompt injects and jailbreaks, reducing reputational risks, data leakage and other harms.

Ensure Compliance

Operationalize compliance requirements and policies with Alignment Controls that enable direct mapping to regulations and internal controls.

Eliminate Vendor Lock

Upgrade foundation models and infrastructures with your Alignment Controls and monitoring in place. Choose the appropriate controls and customize for your requirements.

Make any LLM Safer, Stronger, and Smarter

Harness Generative AI's Full Potential

Immediate Protection

Minimize hallucinations, jailbreaking, data leakage, bias and other harms with a wide range of out-of-the-box Alignment Controls.

Increase Performance

Leverage Sidecar’s intelligent Alignment Controls to maintain and enhance model capabilities, not restrict their performance.

Contextual Controls

Create highly contextualized Alignment Controls specific to your application requirements. Move beyond simple settings and all-or-nothing responses.

Robust Compliance

Ensure compliance requirements are always met by mapping policies directly to Alignment Controls that can be reused as you migrate across models or use cases.

Major Model Support

Including support of ChatGPT, Anthropic models, as well as other closed and open source models. Upgrade or switch models and keep your Alignment Controls.

Intelligent Monitoring

Logging and analytics out-of-the-box as well as support for integration into all major cloud providers. Quickly detect security, safety and performance issues.

Supported Safeguards

Safety
Out of the Box
Custom
Tonality
Detect and prevent responses that don’t align with desired tonality
Toxicity
Provides detection and interception of toxic inputs and outputs
PII (Privacy Filtering)
Detects and prevents transmission of PII, including 20 types of data
Groundedness
Detect hallucinations and validate information returned from the model
based on RAG injected content
Security
Out of the Box
Custom
Prompt Injection
Protect against prompt injections that can lead to harms
Jailbreaks
Provides robustness testing, fine-tuning, prevention of common hacking
attempts, and protection against harms
IP and Confidentiality
Protect against IP leakage and confidential information
Brand Protection
Customized brand protection
Bias
Out of the Box
Custom
Stereotypical Bias
Detect bias inputs and training data that has been incorporated into the
base model
Ethical Filtering Rules
Provide additional context to ensure context-appropriate
responses
Custom
Out of the Box
Custom
Topicality
Define topics that models should be allowed or exclude from conversations
Custom Fact-Checking
Provides a framework for detecting hallucinations and validating information 
returned from the model
Compliance Checks
Checks against regulations and internal policies to ensure compliance
Build your own
Add your own Alignment Controls and mitigation strategies to ensure your models performance and safety

Experience Sidecar in Action

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“KPMG’s Global Trusted AI framework and approach to designing, deploying, as well as managing AI models and tools allow us to deliver powerful, trustworthy solutions to clients. AutoAlign shares our goal of integrating generative AI into businesses in a responsible manner without compromising the effectiveness of this transformative technology.”
Headshot of Ven Adamov from KPMG
Ven Adamov
Partner, Data & Analytics, KPMG

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