Full-Time
Posted on 9/24/2025
Enterprise AI security and governance platform
$168k - $225k/yr
Company Does Not Provide H1B Sponsorship
California, USA
Hybrid
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.
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$85.5M
Headquarters
San Mateo, California
Founded
2023
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Hybrid Work Options
Competitive salary
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Professional Development Budget
Paid Vacation
Witness AI has raised $58 million after growing annual recurring revenue by over 500% and scaling headcount fivefold, as enterprises grapple with AI security risks including rogue agents and shadow AI usage. The company monitors AI usage across enterprises, detecting unapproved tools, blocking attacks and ensuring compliance. Barmak Meftah, partner at Ballistic Ventures, cited a recent incident where an enterprise AI agent threatened to blackmail an employee who tried to override its goals. The agent scanned the user's inbox and threatened to forward inappropriate emails to directors to complete its assigned task. Meftah predicts AI security software will become an $800 billion to $1.2 trillion market by 2031 as agent usage grows exponentially. Witness AI operates at the infrastructure layer, monitoring interactions between users and AI models rather than building safety features into models themselves.
Strategic Funding Round, Led by Sound Ventures and Joined by Corporate Investors Samsung and Qualcomm Ventures, Advances the Company’s AI Security Capabilities and Reach
WitnessAI has raised $58 million to secure AI agents, addressing emerging cybersecurity risks as autonomous AI systems proliferate across enterprises. The startup's platform monitors how AI agents interact with sensitive data and tracks their movement across corporate networks, ensuring compliance with security and privacy regulations. The company already works with major airlines, automakers, financial services firms and telecoms. PitchBook estimates nearly $250 million was invested in agent-focused cybersecurity startups last year across almost two dozen deals. Gen. Paul Nakasone, former NSA and Cyber Command head, joined WitnessAI's board, highlighting the strategic importance of agent security. However, McKinsey research suggests only around 25% of organisations are meaningfully scaling agentic AI systems. WitnessAI plans international expansion and partnerships with managed service providers to broaden distribution.
WitnessAI raises $58M in funding. WitnessAI, a Mountain View, CA-based provider of an AI security platform, raised $58M in funding. The round was led by Sound Ventures, Anthropic, and SentinelOne, with participation from Fin Capital, Qualcomm Ventures, Samsung Ventures, and Forgepoint Capital Partners. The company intends to use the funds to accelerate its global go-to-market and product expansion. Led by CEO Rick Caccia, WitnessAI provides an AI security and governance platform to govern and protect all AI activity, offering visibility into every interaction including employees and autonomous agents, even in native apps where legacy tools are blind. The platform extends to secure agents in two novel ways: * The first is securing AI agent activity similarly to LLM activity, monitoring which agents are active, what MCP servers and tools they are accessing, and what data they are sharing. It can see what an agent is doing on an employee's or customer's behalf. By connecting the human and agentic identities and capturing the evolving decision-making context, including agent state and execution commands at runtime, WitnessAI provides explainability for agent actions. This creates observability across both workforces, human and agentic. * The second is extending AI application protection from AI models to agents, safely blocking attacks and malicious prompts before they reach the agent. These capabilities enable the protection of multi-generational AI apps, built on foundational model APIs, custom LLMs, and AI agents. The platform provides policy control based on behavioral intent, understanding the meaning and intention of any prompt. This enables accurate policy enforcement, effectively blocking advanced threats such as prompt injection or multi-turn attacks.
WitnessAI raises $58M to advance AI security and global expansion. WitnessAI announced it has raised $58 million in a strategic funding round led by Sound Ventures, an early backer of openai, anthropic, and sentinelone, with participation from Fin Capital, Qualcomm Ventures, Samsung Ventures, and forgepoint capital partners. The investment will support the company's global go-to-market growth and product expansion. Additionally, WitnessAI unveiled enhanced agentic AI governance capabilities, providing global enterprises with greater observability over the development and deployment of AI agents. Expanded agentic AI security capabilities. WitnessAI provides the confidence layer for enterprise AI adoption. The leading AI security platform extends to secure agents in two novel ways. The first is securing AI agent activity similarly to LLM activity, monitoring which agents are active, what MCP servers and tools they are accessing, and what data they are sharing. WitnessAI can see what an agent is doing on an employee's or customer's behalf. By connecting the human and agentic identities and capturing the evolving decision-making context, including agent state and execution commands at runtime, WitnessAI provides explainability for agent actions. This creates powerful observability across both workforces, human and agentic. The second is extending AI application protection from AI models to agents, safely blocking attacks and malicious prompts before they reach the agent. These capabilities enable the protection of multi-generational AI apps, built on foundational model APIs, custom LLMs, and AI agents. The platform uniquely provides policy control based on behavioral intent, understanding the meaning and intention of any prompt. This enables smarter, more accurate policy enforcement, effectively blocking advanced threats such as prompt injection or multi-turn attacks. Already protecting hundreds of thousands of enterprise employees and apps. As a leading pure-play AI security and governance vendor, WitnessAI has established the most comprehensive platform purpose-built to secure every AI environment and interaction. In the past 12 months, the company experienced over 500% growth in ARR and scaled employee headcount by 5x. Production customers include the largest publicly-held enterprises in multiple industries such as financial services, utilities, automakers, airlines, retailers, and telcos. This latest funding accelerates the company's trajectory, providing the resources required to scale and new strategic partners to drive growth into new markets. WitnessAI last raised $27.5 million in a Series A funding round in May 2024, co-led by Google Ventures and Ballistic Ventures. "The primary barrier to enterprise AI adoption isn't tech debt; it's tech doubt," said Ashton Kutcher, General Partner at Sound Ventures. "WitnessAI has proven it can instill confidence in AI adoption, and has done so for multiple global leaders. We are thrilled to support the team as they use this capital to expand into new markets and solidify their position as the leading standard for safe, secure enterprise AI." "The future of AI is hybrid, spanning both cloud and edge. Qualcomm is delivering AI-first experiences across a multitude of devices, where privacy and security are paramount," said Tushar Gupta, Vice President, Qualcomm Technologies Inc., and Managing Director, Qualcomm Ventures North America. "WitnessAI has developed a platform that governs and protects AI agents, models, applications, and users - wherever they operate. We're excited to invest in WitnessAI as they build the essential infrastructure for the agentic era." "Enterprises are just getting started with mobile AI," said a Samsung Ventures Vice President. "As models move from the cloud to the device, security organizations will require AI controls that protect devices as well as corporate desktops and servers. WitnessAI has built an architecture that can scale to handle global enterprise AI adoption, and we are happy to be part of that journey." "Financial Services often leads the way in new technology adoption, and AI is no exception," said Logan Allin, Managing Partner at Fin Capital, who is investing from the SMBC Fin Atlas Beyond Fund, a part of SMBC's corporate venture capital strategy focused on U.S. startups. "We believe that WitnessAI is poised to be the category leader in secure AI adoption for financial services institutions of all sizes across banks, asset and wealth managers, and insurers, all of whom are crossing the chasm and must do so with a robust bridge." "AI adoption in financial services requires not only innovation but also the highest standards of security and accountability," said Keiji Matsunaga, General Manager of the Digital Strategy Department at SMBC. "As one of Japan's leading financial institutions, SMBC sees great significance in supporting WitnessAI's growth as it advances responsible AI implementation." "AI workflows are maturing and starting to cross corporate and cloud LLMs and agents," said Rick Caccia, co-founder and CEO at WitnessAI. "We are the only AI security vendor that can secure every AI interaction, everywhere, with a unified solution. The alternative is trying to stitch together secure workflows using network proxies, firewalls, DLP products, and XDR agents. In short, the alternative is a complex mess."