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Intel Collaborates with Mirror Security to Strengthen Security for Autonomous AI Agents
Intel (NASDAQ: INTC) and Mirror Security today announced a collaboration to make autonomous AI agents more secure. This alliance brings together Intel's advanced security features, including the Intel® Tiber⢠Trust Authority and Confidential Computing, with Mirror Security's AI behavior monitoring and encryption technologies. Together, they are offering a powerful solution to help organizations securely deploy autonomous AI systems. As AI agents are increasingly used to make decisions, take actions, and interact with sensitive systems, traditional security measures are no longer enough. These agents operate independently and often in unpredictable environments, making it difficult to control or verify their actions. The new solution from Intel and Mirror Security addresses this challenge by protecting AI systems not just when data is stored or shared, but also during processing when decisions are being made. "Our biggest concern with autonomous agents is ensuring they make the right decisions while operating freely," said Pankaj Thapa, CEO of Mirror Security. "It's like letting people move freely in a building while making sure they follow the rules. Our platform sets the rules, and Intel's hardware confirms they're being followed." The solution offers several key features. It provides cryptographic proof that an AI agent's actions stay within approved limits. It ensures the agent's data and code are processed in secure, hardware-isolated environments using Intel® SGX and Intel® TDX. It also sets up guardrails to prevent unauthorized actions, while allowing the agent to operate independently. Additionally, the system keeps a secure, unchangeable record of every decision the agent makes useful for compliance and audits. "As AI shifts from passive tools to active agents, we need stronger security for the moments when critical decisions are made," said Purnam Sheth, VP and GM at Intel Corporation of Trust and Security Products at Intel. "This joint effort offers a way to build AI systems that organizations can trust secured during every stage of decision-making." The solution can be used across multiple industries. In financial services, it helps build more secure autonomous trading agents with risk limits that can be verified. In healthcare, it protects patient data and supports trustworthy clinical trials. In enterprise settings, it supports document processing and complex workflows involving multiple AI agents. For critical infrastructure, it ensures monitoring systems follow safety protocols that can be verified. The combined solution is available now for enterprise customers. It works on infrastructure enabled with Intel® SGX, and support for Intel® TDX will be available in June 2025. Mirror Security's platform is available through annual subscriptions with enterprise support. For more details, visit: https://mirrorsecurity.io/blog/intel-collaboration About Mirror Security Mirror Security offers a full-stack security platform focused on securing generative AI systems. Their key offerings include AI data security, zero-trust solutions for large language models (LLMs), and privacy-preserving technologies. The team has deep experience in cybersecurity and AI, with backgrounds at companies like Motorola, Samsung, RSA, Symantec, Rapid7, and Microsoft. Mirror Security works with enterprises across sectors including finance, defense, healthcare, and emerging AI technology.
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Intel Collaborates with Mirror Security to Strengthen Security for Autonomous AI Agents
Intel (NASDAQ: INTC) and Mirror Security today announced a collaboration to make autonomous AI agents more secure. This alliance brings together Intel's advanced security features, including the Intel® Tiber⢠Trust Authority and Confidential Computing, with Mirror Security's AI behavior monitoring and encryption technologies. Together, they are offering a powerful solution to help organizations securely deploy autonomous AI systems. As are increasingly used to make decisions, take actions, and interact with sensitive systems, traditional are no longer enough. These agents operate independently and often in unpredictable environments, making it difficult to control or verify their actions. The new solution from Intel and Mirror Security addresses this challenge by protecting AI systems not just when data is stored or shared, but also during processing when decisions are being made. "Our biggest concern with autonomous agents is ensuring they make the right decisions while operating freely," said Pankaj Thapa, CEO of Mirror Security. "It's like letting people move freely in a building while making sure they follow the rules. Our platform sets the rules, and Intel's hardware confirms they're being followed." The solution offers several key features. It provides cryptographic proof that an AI agent's actions stay within approved limits. It ensures the agent's data and code are processed in secure, hardware-isolated environments using It also sets up guardrails to prevent unauthorized actions, while allowing the agent to operate independently. Additionally, the system keeps a secure, unchangeable record of every decision the agent makes useful for compliance and audits. "As AI shifts from passive tools to active agents, we need stronger security for the moments when critical decisions are made," said Purnam Sheth, VP and GM at Intel Corporation of Trust and Security Products at Intel. "This joint effort offers a way to build AI systems that organizations can trust secured during every stage of decision-making." The solution can be used across multiple industries. In financial services, it helps build more secure autonomous trading agents with risk limits that can be verified. In healthcare, it protects patient data and supports. In enterprise settings, it supports document processing and complex workflows involving multiple AI agents. For critical infrastructure, it ensures monitoring systems follow safety protocols that can be verified.
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Intel and Mirror Security collaborate to develop a comprehensive security solution for autonomous AI agents, combining Intel's hardware-based security features with Mirror Security's AI behavior monitoring technologies.
In a significant move to address the growing security concerns surrounding autonomous AI agents, Intel (NASDAQ: INTC) and Mirror Security have announced a collaborative effort to enhance the security of these advanced systems
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. This partnership combines Intel's cutting-edge security features with Mirror Security's specialized AI behavior monitoring and encryption technologies, offering a robust solution for organizations looking to deploy autonomous AI systems securely.As AI agents increasingly take on decision-making roles and interact with sensitive systems, traditional security measures have proven inadequate. The independent operation of these agents in unpredictable environments poses unique challenges in controlling and verifying their actions. The joint solution from Intel and Mirror Security tackles this issue by providing protection throughout the AI system's lifecycle, including during the critical decision-making process
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.The collaborative effort introduces several crucial security features:
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.The security solution offers wide-ranging applications across various sectors:
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.Related Stories
Pankaj Thapa, CEO of Mirror Security, likened the challenge to "letting people move freely in a building while making sure they follow the rules," emphasizing their platform's role in setting rules and Intel's hardware in enforcing them
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.Purnam Sheth, VP and GM of Trust and Security Products at Intel, highlighted the need for stronger security as AI evolves from passive tools to active agents, stating that their joint effort provides a way to build trustworthy AI systems secured at every decision-making stage
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.The combined solution is now available for enterprise customers, compatible with IntelĀ® SGX-enabled infrastructure. Support for IntelĀ® TDX is scheduled for June 2025. Mirror Security offers its platform through annual subscriptions with enterprise support
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.This collaboration marks a significant step forward in addressing the complex security challenges posed by autonomous AI agents, potentially reshaping the landscape of AI deployment across industries.
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20 May 2025ā¢Technology
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