Managing AI systems within an enterprise feels a lot like performing in a high-stakes circus. DevOps teams are tasked with ensuring that models behave predictably, while they also contend with the risks of unintended consequences like hallucinations and data leaks.
To tackle these challenges, an array of emerging companies is delivering AI governance tools that blend various functionalities—from access control to mitigation of compliance risks. These tools, often labeled with terms like “trust” or “guardrails,” are becoming integral to the fabric of AI operations. What’s interesting is how many of these solutions, while independent, overlap in functionality, reflecting an industry rapidly adapting to the complexities of AI technology.
Here’s a look at 16 noteworthy companies that offer solutions designed to ensure LLMs behave as intended, allowing enterprises to harness their capabilities without succumbing to chaos.
Collibra
Collibra provides an AI Command Center, which integrates governance and privacy protection tools with agent management for reduced hallucinations. This Unified Control Plane enables enterprises to catalog their various AI agents and assess their risk with a “trust score.” The tool also allows for deep integration with existing data management systems, enhancing audit capabilities.
Pricing: No standard pricing information available; contact for a demo.
Best suited for: Large enterprises seeking consistent data quality across the board.
Confident Security
To secure sensitive information during AI compliance testing, Confident Security offers OpenPCC, which employs encryption to ensure safe AI inference processing. Its architecture provides both an open-source core and a full SaaS platform, enhancing privacy for sensitive queries while allowing flexibility for various compliance requirements.
Pricing: Based on usage, metered by tokens.
Best suited for: Industries with strict compliance requirements, such as healthcare and finance.
Credo AI
Focused on tracking agent behavior, Credo AI helps enterprises create a centralized catalog of LLMs, navigating through compliance frameworks like the GDPR and SOC2. Its “Govern AI Assistant” (GAIA) keeps track of policy adherence and data flows, providing necessary oversight across all operational levels.
Pricing: Contact for a quote.
Best suited for: Large enterprises operating across multiple jurisdictions.
F5 with CalypsoAI
By integrating CalypsoAI, F5 enhances LLM security with automated red teaming that proactively identifies threats at the inference layer. This approach allows for real-time monitoring and defensive actions against potential weaknesses.
Pricing: Contact the sales team for details.
Best suited for: Applications with high public exposure, such as web platforms.
Fiddler AI
Fiddler AI emphasizes the necessity of an AI control plane, offering tools to track model behaviors and explain their outputs. This comprehensive tracking can preemptively alert teams to issues like toxicity or PII leakage while enabling policy enforcement to mitigate risks like prompt injections.
Pricing: Free tier for developers; usage-based fees for extensive features.
Best suited for: Enterprises managing extensive predictive ML models.
Guardrails AI
Guardrails AI delivers two key products: Snowglobe for simulating model input and identifying anomalies, and Guardrails OSS, which oversees LLM outputs to enforce compliance and mitigate issues like PII leakage. These adaptive tools surround AI models with necessary oversight.
Pricing: Open-source availability with manageable options.
Best suited for: Projects requiring strict adherence to data formats.
Hidden Layer
With Hidden Layer, enterprises can delve deeper into identifying vulnerabilities within their AI models. Their methodology combines cataloging with red teaming to probe for weaknesses, ensuring models across the enterprise remain compliant and secure.
Pricing: Available through cloud providers with tailored options.
Best suited for: Cybersecurity teams focused on defending proprietary AI models.
IBM’s watsonx.governance
IBM’s watsonx.governance establishes a governance graph to evaluate risks tied to deployed AI systems. By integrating with existing IBM Cloud tools, it offers out-of-the-box metrics to monitor model performance while allowing customization for unique enterprise needs.
Pricing: Free 30-day trial followed by usage-based fees.
Best suited for: Large, multicloud enterprises in regulated sectors.
Lakera
As users engage with LLMs, Lakera intervenes to manage interactions and safeguard against exploitation such as prompt injections. Its monitoring tools help enforce stricter data access controls, ensuring compliance during user queries.
Pricing: Free tier available with limited requests; expanded options through sales inquiry.
Best suited for: Teams delivering tight feedback loops in real-time environments.
Lasso Security
Lasso Security adopts a holistic approach to AI management, employing automated tools to inventory AI instances, facilitating red teaming, and runtime enforcement based on current deployments.
Pricing: Customized according to deployment specifics.
Best suited for: Teams needing agile solutions in innovative environments.
LogicGate
With its Risk Cloud, LogicGate streamlines governance, risk management, and compliance for AI systems. The no-code platform allows teams to visualize risks associated with LLMs, ensuring easier compliance management.
Pricing: Available after a demonstration of the platform.
Best suited for: Comprehensive solutions that blend AI and traditional governance models.
Mindgard
Mindgard acts as an automated red team, continuously testing AI systems for vulnerabilities. By simulating various attack vectors, it identifies weaknesses and suggests improvements for enhanced security.
Pricing: Sandbox available at no cost, with tailored pricing for larger needs.
Best suited for: Security teams requiring proactive threat analysis.
OneTrust
With a focus on governance and privacy, OneTrust provides a platform for managing compliance challenges linked to AI, creating a monitoring system for various database and enterprise components.
Pricing: Pricing details available upon request.
Best suited for: Large, global enterprises managing compliance issues.
Prompt Security
Prompt Security safeguards interactions with LLMs via a proxy gateway that scrutinizes data inputs and outputs for security threats, thereby enhancing leak detection capabilities.
Pricing: Open-source resources available; sales can provide support for deployments.
Best suited for: Teams that harness open-source capabilities for deeper insights.
Protect AI
Protect AI delivers an all-encompassing inspection of AI pipelines, ensuring vulnerabilities are identified and mitigated. With tools such as Guardian and Recon, it offers end-to-end coverage of compliance and security concerns.
Pricing: Based on model and pipeline specifics.
Best suited for: Teams defending complex AI workflows.
Securiti.ai
Prioritizing data privacy, Securiti.ai implements a strategy known as data security posture management (DSPM) to oversee and govern data flow in AI deployments. Its centralized platform ensures all agents adhere to the same governance principles as traditional databases.
Pricing: Tailored pricing based on usage.
Best suited for: Enterprises navigating complex data and compliance governing frameworks.
