The AI landscape is transforming at hyperspeed, with agents now capable of real-time web exploration and data retrieval. While these capabilities unlock unprecedented potential, they also introduce critical security risks. As AI systems become more autonomous, they face an increasing risk of indirect injection attacks - where malicious instructions are embedded within seemingly innocuous data.
That’s why we’re thrilled to announce our strategic partnership with Tavily - a leading web access layer designed specifically for AI agents—which delivers real-time, accurate, and factual results to more than 200,000 AI builders worldwide.
By integrating Pillar’s adaptive guardrails with Tavily’s web access layer for AI agents, we’re establishing a new standard for trustworthy, proactive, and reliable AI-powered retrieval.
Transforming AI Security for agentic systems
Addressing the Threat of Indirect Injection Attacks
Organizations deploying AI agents must safeguard internal data while ensuring that externally sourced information is accurate, safe, and free from manipulation.
Since AI models are only as reliable as the data they retrieve, these risks grow as AI agents connect with an ever-expanding network of data sources, potentially leading to indirect injection attacks that lead to:
- Data Leaks: Unauthorized exposure of sensitive information.
- Misinformation: Propagation of manipulated or false data.
- System Compromise: Altered AI behavior that undermines system integrity.
Our collaboration with Tavily enables us to counter these risks head-on. By integrating Pillar’s advanced security guardrails directly into Tavily’s engines, we ensure that only verified, secure data reaches end-users and models in real time.
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Runtime AI Protection Powered by Real-World Threat Intelligence
At Pillar Security, our proprietary models leverage insights from adversarial AI research, enriched by monitoring thousands of AI-powered applications in production and analyzing millions of multi-lingual model interactions across multiple use cases.
This real-world threat intelligence enables us to:
- Anticipate Emerging Threats
- Deliver Proactive & Precise Protection
- Ensure Compliance and Integrity
Pillar + Tavily: Key Benefits for AI Teams
- Safe Data Retrieval: Tavily’s Search and Extract APIs ensure that potentially harmful data is intercepted at the source, preventing dangerous content from ever reaching or affecting your AI systems.
- Real-Time Threat Detection: Pillar’s advanced security guardrails operate continuously in the background, detecting and neutralizing threats as they arise to maintain compliance and system integrity.
- Streamlined Security Integration: With proactive, built-in protection from both Pillar and Tavily, AI builders can focus on innovation without the burden of reactive, late-stage security fixes.
This partnership empowers enterprises to accelerate their AI solutions into production confidently, knowing that their systems are shielded by multiple layers of security.
Looking Ahead
The Pillar-Tavily partnership is setting a new industry benchmark by combining state-of-the-art security with trusted data filtering capabilities. As AI systems become more interconnected and autonomous, the integrity of data—and the security measures protecting it—are more critical than ever.
Together, we are paving the way for the next generation of safe and reliable agentic systems
About Pillar Security
Pillar Security is a unified, end-to-end AI security platform that empowers organizations to launch and manage AI-powered applications with confidence. By embedding robust security measures throughout the entire AI lifecycle— from development to runtime—Pillar ensures that your AI initiatives are shielded from data breaches and non-compliance risks. Our comprehensive solutions, including AI fingerprinting, asset inventory, red teaming and adaptive guardrails, eliminate security bottlenecks and enable faster, secure innovation.
About Tavily
Tavily is a comprehensive web access layer for AI agents, offering real-time search, structured web scraping, and data processing at scale. With the Tavily API, AI developers can seamlessly integrate live web data into their applications, ensuring factual, relevant, and structured retrieval. Tavily’s mission is to power AI systems with trusted, actionable data—enhancing the accuracy, reliability, and effectiveness of AI-driven content and decision-making.
FAQs
What is an indirect injection attack and why does it threaten AI agents that retrieve web data?
An indirect injection attack occurs when malicious instructions are embedded within seemingly innocuous external data that an AI agent retrieves and processes. As agents connect to an expanding network of data sources, these attacks can cause data leaks, propagate misinformation, or alter AI behavior in ways that undermine system integrity — making secure data retrieval a critical requirement.
How does the Pillar and Tavily integration protect AI agents from malicious web content at runtime?
Pillar's adaptive security guardrails are embedded directly into Tavily's Search and Extract APIs, intercepting potentially harmful data at the source before it reaches an AI model or end-user. This means threats are detected and neutralized continuously in the background, in real time, rather than caught through reactive, late-stage security review.
What real-world threat intelligence does Pillar use to power its AI security guardrails?
Pillar's proprietary models draw on adversarial AI research enriched by monitoring thousands of AI-powered applications in production and analyzing millions of multi-lingual model interactions across multiple use cases. This continuously updated intelligence allows Pillar to anticipate emerging threats and deliver proactive, precise protection rather than reacting after incidents occur.
Why did Pillar Security choose to partner with Tavily specifically for securing agentic AI systems?
Tavily serves as a web access layer purpose-built for AI agents, providing real-time, accurate, and factual data retrieval to more than 200,000 AI builders worldwide. Because AI models are only as reliable as the data they ingest, integrating security directly at that retrieval layer — rather than downstream — is the most effective point to prevent manipulation and ensure data integrity.
How does the Pillar-Tavily partnership help enterprise AI teams accelerate production deployments without sacrificing security?
By combining Pillar's runtime guardrails with Tavily's filtered data retrieval, security is built proactively into the AI pipeline rather than bolted on after development. This eliminates reactive, late-stage security fixes, allowing AI builders to focus on innovation and move confidently into production knowing their agentic systems are protected by multiple integrated security layers.
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