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WitnessAI provides security and governance for enterprise AI. It offers a subscription security platform that helps large organizations control how AI tools are used, protect data, enforce access policies, and stay compliant with regulations. The platform operates by applying policy rules across data, users, and AI workflows so that generative AI can be used safely without leaks or misuse. Compared with competitors, WitnessAI focuses on enterprise-scale security, governance, and risk management for AI deployments, targeting large customers with robust, continuously updated protections and compliance features. The company aims to become a leading provider in AI security by helping businesses adopt AI responsibly and securely.
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Industries
Company Size
51-200
Company Stage
Series B
Total Funding
$85.5M
Headquarters
Mountain View, CA
Founded
2023
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Total Funding
$85.5M
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ALLIANCE Distribution expands its portfolio with WitnessAI to secure enterprise AI across the region. ALLIANCE Distribution announces the signing of a distribution agreement with WitnessAI, an AI security company providing a control plane for enterprise AI that enables organizations to see, control, and protect runtime activity across their human and non-human workforce. WitnessAI solutions are now available through ALLIANCE Distribution for partners and customers in Ukraine, the Caucasus, and Central Asia. When AI becomes part of the enterprise, security must evolve. AI is rapidly becoming embedded into everyday business operations -from employees using generative AI and developers working with AI coding assistants to applications powered by large language models and autonomous AI agents. As AI adoption accelerates, organizations face new security challenges: sensitive data can be exposed through AI interactions, employees may use unauthorized tools, and autonomous agents can access enterprise systems and execute actions with limited human oversight. Traditional security controls were not designed to provide visibility and control across these new AI environments. WitnessAI addresses this challenge by enabling organizations to govern the AI they use, secure the AI they build, and make all AI activity accountable. The WitnessAI platform enables organizations to: * Gain visibility into enterprise AI activity: Discover AI applications, models, agents, MCP servers, and tools, while understanding how employees and agents interact with AI across the organization. * Enforce policies based on behavior, intent, and context: Apply context-aware policies based on users, roles, departments, intent, and workforce type, while maintaining detailed audit trails and reports. * Secure the AI applications organizations build: Detect and block threats such as prompt injection and jailbreak attempts, filter harmful or sensitive content, and protect confidential data at runtime. * Govern agent behavior and tool access: Discover which agents are operating in the environment, what MCP servers and tools they connect to, and enforce controls at the point where agents interact with enterprise systems. * Protect business-sensitive data in real time: Recognize sensitive information based on its meaning and business context, including data that traditional pattern-matching tools may miss, and apply appropriate protection policies. * Enable secure AI adoption and innovation: Give organizations the controls to deploy and scale AI across their workforce and applications without compromising security or governance. Why it matters. AI adoption is accelerating across financial services, telecommunications, government, healthcare, retail, and other industries - creating new opportunities for organizations while introducing a rapidly evolving security landscape. For organizations in Ukraine, the Caucasus, and Central Asia, securing AI adoption is becoming an increasingly important part of the broader cybersecurity strategy. With WitnessAI, organizations can secure both their human and agentic workforce, applying consistent security policies across AI interactions, sensitive data, and autonomous actions. This enables enterprises to move forward with AI adoption while maintaining visibility, control, and accountability. Get started with WitnessAI today. WitnessAI solutions are now available to partners and clients through ALLIANCE Distribution. Contact ALLIANCE Distribution to learn more about WitnessAI and explore secure AI adoption for your organization.
WitnessAI Launches AI FinOps to Control Enterprise AI Spend. WitnessAI announced the launch of new AI FinOps capabilities within its platform. Centered around a new Unified AI ROI Dashboard, the enhancements are designed to help enterprises gain greater visibility and control over AI spending across employees, models, and agents, while providing measurable insights to demonstrate the return on investment (ROI) of their AI initiatives. Enterprise AI adoption has created a new financial-management problem. As AI scales across multiple providers and applications, traditional invoices fail to show who is consuming AI, why, and whether it drives business value. According to WitnessAI's The Hidden Cost of Enterprise AI report, only 9% of respondents stated that more than three-quarters of their AI initiatives have delivered a measurable financial return, while 33% said AI projects in the last 12 months were always or mostly over budget. WitnessAI addresses the AI FinOps visibility challenge by operating at the AI traffic and intent layer. The platform connects spend directly to the intent behind the usage, tracking the specific employee, agent, purpose, activity, and model. This contextual visibility enables WitnessAI to combine capabilities that are typically separate, such as multi-provider metering, intelligent model routing, shadow AI discovery, and runtime security. This provides organizations with a single, unified view across three critical lenses: AI risk, cost, and adoption outcomes. With this release, the WitnessAI platform adds: * A customizable Unified AI ROI Dashboard: Centralizes AI performance metrics - including risk avoidance, cost savings, and adoption rates - into one dashboard across employees, models, and agents. Organizations can apply configurable ROI multipliers to assign custom dollar values to security incidents prevented, and employee time saved, ensuring the platform reflects an organization's unique business economics. * Comprehensive spend visibility and shadow AI discovery: Eliminates enterprise blind spots by automatically discovering unsanctioned AI applications, agents, and MCP servers. The platform accurately estimates shadow AI expenditures while metering sanctioned token consumption across multiple providers, mapping all usage directly to specific teams and business purposes. * Intelligent routing and pre-inference optimization: Reduces inference costs without sacrificing quality. The platform scores prompts for complexity and business intent, routing tasks to the most cost-effective model. Additionally, pre-inference filtering automatically blocks non-business, off-topic, or abusive prompts before they incur paid token costs. "With the launch of our new FinOps capabilities, we are changing how organizations think about AI ROI measurement. Instead of treating cost, risk, and adoption as siloed problems, WitnessAI gives leadership a consolidated view of AI economics," said Rick Caccia, CEO and Founder of WitnessAI. "By translating security events and governance into tangible business terms, we are helping enterprises intelligently route workloads, eliminate shadow AI spend, and reduce waste without restricting the productive AI usage that drives their business forward."
WitnessAI has launched NER-D, an AI model that identifies sensitive information in conversations through context rather than static patterns. The model can distinguish whether "Paris" refers to a city, person, or confidential project codename in real-time conversations. NER-D is 20 times faster than comparable generative methods while maintaining benchmark-leading accuracy. The model evaluates AI conversations by understanding what data means rather than its structure, combining large language model knowledge with production speed. "Traditional tools leave significant blind spots when it comes to unstructured, proprietary data," said Rick Caccia, WitnessAI's chief executive officer. "NER-D brings this critical data into scope for more robust protection." The capability will be available in the WitnessAI platform in coming months, feeding into existing data-protection workflows such as redaction and tokenisation.
WitnessAI expands agentic security with Agentic Control. WitnessAI has announced expanded agentic security capabilities designed to govern how AI agents interact with enterprise systems, tools, and Model Context Protocol (MCP) servers. The new Agentic Control solution provides a unified control plane that enables organizations to discover, monitor, govern, and restrict AI agent behavior at runtime, improving visibility and security across AI-driven environments. Enterprises are rapidly deploying AI agents across chat applications, integrated development environments (IDE), and custom workflows, but security teams lack the visibility to monitor or control their access. This shift introduces severe operational risks: compromised agents can now independently execute tools, access sensitive systems, and exfiltrate data. As most legacy security technologies were not designed to inspect MCP communications, tool invocations, or agent-to-agent workflows, organizations are left exposed. WitnessAI Agentic Control bridges this gap by delivering deep visibility and real-time network enforcement over the tools and MCP servers AI agents can access. By establishing a single, organization-wide approved-tool policy, enterprises gain consistent runtime governance across approved agentic environments. This unified control plane secures both human and agentic AI, providing a comprehensive audit trail for safe, compliant adoption. WitnessAI Agentic Control delivers: * Agent Discovery and Visibility: The platform automatically discovers AI agents operating across enterprise environments including IDEs, applications, agent frameworks, and custom agents built in the public cloud, and identifies the specific MCP servers, tools, and downstream systems each agent reaches. WitnessAI's new MCP Catalog scores known tools against OWASP and CVE risk classes, enabling security teams to assess risk before granting approval. * Approved-Tool and MCP Server Governance: WitnessAI enables organizations to define organization-wide allow lists of approved MCP servers and tools that can be consistently enforced across agentic environments.This allows for consistent enforcement across all applications, model providers, and custom-built agents. * Runtime Agentic Enforcement: The platform inspects and governs conversations in agentic applications including IDEs, enabling organizations to restrict unauthorized prompts and responses and enforce approved policies at runtime. Combined with WitnessAI's AI Firewall capabilities, organizations can also apply prompt injection, jailbreak, and response protections for AI applications and agents. "Enterprises are moving fast to deploy AI agents that can code, access internal data, and execute complex workflows. However, security teams cannot protect what they cannot see, let alone control," said Rick Caccia, CEO and co-founder at WitnessAI. "Most AI security vendors hand the buyer a choice: govern employees, govern apps, or govern agents. WitnessAI removes that choice. By extending the platform our customers already trust to govern employee AI usage, we are providing a single control plane to protect all AI activity. A CISO can write a rule once, and it holds across every human user, IDE, chat application, and custom agent." The WitnessAI platform delivers a 99.3% true positive rate on employee AI guardrails, extending the same platform foundation that governs AI usage across more than 4,000 AI applications and over 100 supported model types.
WitnessAI, an AI-native security platform, has launched Agentic Control, a system providing enterprises with unified visibility and governance over AI agents, Model Context Protocol servers, and tools. The platform addresses security gaps as organisations rapidly deploy AI agents across chat applications, development environments and custom workflows. Agentic Control offers real-time discovery and monitoring of AI agent activity, network enforcement to restrict agent access to approved tools and MCP servers, and cross-environment governance with consistent policies. The system maintains a 99.3% true positive rate on employee AI guardrails and supports over 4,000 AI applications across 100-plus model types. The platform aims to eliminate security blind spots in agent-to-agent workflows and tool invocations that legacy security technologies cannot inspect. Agentic Control is now available to all WitnessAI customers.
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Industries
Company Size
51-200
Company Stage
Series B
Total Funding
$85.5M
Headquarters
Mountain View, CA
Founded
2023
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs