tag: AI security

Securing AI at the Silicon Level: Solutions for a Smarter, Safer Future
By Synopsys - 06 May, 2026 - Comments: 0

This white paper explains how Synopsys Security IP embeds hardware‑rooted protection into AI SoCs and chiplets to secure their data and models. It highlights growing AI attack vectors across edge and data‑center environments and shows how technologies like PUF, tRoot HSM, interface security, and PQC create long‑term, silicon‑level trust. Why read this whitepaper: Learn how sili... » read more

Operational Cybersecurity and Supply Chain Risks Across the AI Lifecycle (Sandia National Labs)
By Technical Paper Link - 02 Sep, 2025 - Comments: 0

A new technical paper titled "Surveying the Operational Cybersecurity and Supply Chain Threat Landscape when Developing and Deploying AI Systems" was published by researchers at Sandia National Labs. Abstract "The rise of AI has transformed the software and hardware landscape, enabling powerful capabilities through specialized infrastructures, large-scale data storage, and advanced hardware... » read more

Physical Access Control Raises New Security Concerns
By Ann Mutschler - 27 Aug, 2025 - Comments: 0

Experts At The Table: Semiconductor Engineering sat down to discuss hardware security challenges, including fundamental security of GenAI, with Nicole Fern, principal security analyst at Keysight; Serge Leef, AI-For-Silicon strategist at Microsoft; Scott Best, senior director for silicon security products at Rambus; Lee Harrison, director of Tessent Automotive IC Solutions at Siemens EDA; Mohit... » read more

Reliable Training Data Paramount To AI Model Success
By Ann Mutschler - 14 Aug, 2025 - Comments: 0

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is reliable, secure, and which is generated from trusted sources. AI activity is growing exponentially, as everybody tries to figure out how to apply it to their domain, application, or workload. In ... » read more

Security Tradeoffs: A Difficult Balance
By Ann Mutschler - 06 Aug, 2025 - Comments: 0

Experts At The Table: Semiconductor Engineering sat down to discuss hardware security challenges, including new threat models from AI-based attacks, with Nicole Fern, principal security analyst at Keysight; Serge Leef, AI-For-Silicon strategist at Microsoft; Scott Best, senior director for silicon security products at Rambus; Lee Harrison, director of Tessent Automotive IC Solutions at Sieme... » read more

AI: A New Tool For Hackers, And For Preventing Attacks
By Ann Mutschler - 08 Jul, 2025 - Comments: 0

Semiconductor Engineering sat down to discuss hardware security challenges, including new threat models from AI-based attacks, with Nicole Fern, principal security analyst at Keysight; Serge Leef, AI-For-Silicon strategist at Microsoft; Scott Best, senior director for silicon security products at Rambus; Lee Harrison, director of Tessent Automotive IC Solutions at Siemens EDA; Mohit Arora, seni... » read more

Security Vulnerabilities Difficult To Detect In Verification Flow
By Ann Mutschler - 26 Jun, 2025 - Comments: 0

As designs grow in complexity and size, the landscape for potential hackers to infiltrate a chip at any point in either the design or verification flow increases commensurately. Long considered to be a “safe” aspect of the design process, verification now must be a focus of chip developers from a security perspective. This also means the concept of trust has never been higher, and the tr... » read more

Cyber Threats Multiply With Commercial Chiplets
By Ann Mutschler - 01 May, 2025 - Comments: 0

The commercialization of chiplets will significantly boost the potential for attacks on hardware, requiring a much broader set of security measures and processes at every level of the supply chain, including traceability from initial design to end of life. Much progress has been made in recent years on security measures, including everything from identifying unusual data traffic inside a chi... » read more

AI/ML Workloads Need Extra Security
By Bryon Moyer - 15 Nov, 2021 - Comments: 0

The need for security is pervading all electronic systems. But given the growth in data-center machine-learning computing, which deals with extremely valuable data, some companies are paying particular attention to handling that data securely. All of the usual data-center security solutions must be brought to bear, but extra effort is needed to ensure that models and data sets are protected ... » read more

Security Solutions for AI/ML
By Rambus - 02 Jun, 2021 - Comments: 0

AI/ML is increasingly pervasive across all industries driven by a massive wave of digitization. Data, the raw material of AI/ML and Deep Learning algorithms, is available in enormous quantities from all aspects of business operations. AI/ML promises great gains in responsiveness and adaptability in an ever-changing technology landscape, and industries are enthusiastically responding to that app... » read more

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