NIST
PulseAugur coverage of NIST — every cluster mentioning NIST across labs, papers, and developer communities, ranked by signal.
- 2026-06-09 research_milestone NIST published a mathematical proof showing that AI systems cannot be made universally robust against adversarial prompts. source
- 2026-05-18 research_milestone Proposal to use lunar craters for ultrastable laser development. source
- 2026-05-13 research_milestone NIST researchers published findings on how wear and tear affects PFAS levels in firefighter gear. source
17 day(s) with sentiment data
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AI and Quantum Computing Accelerate Cyber Threats, Demanding New Defenses
The convergence of Artificial Intelligence and quantum computing presents a dual threat to cybersecurity, compressing both reaction and planning windows for security teams. AI is accelerating attacks by automating vulne…
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Bifrost leads AI governance tool comparison for enterprises
The article compares top AI governance tools for enterprises, focusing on policy enforcement, access control, security, and observability. Bifrost, an open-source AI gateway from Maxim AI, is highlighted as a leading so…
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Trump mandates post-quantum cryptography transition for federal agencies
Former U.S. President Donald Trump has issued a directive aimed at accelerating the transition to post-quantum cryptography across federal agencies. This initiative, outlined in National Security Memorandum 10, mandates…
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AI and Quantum Computing Converge to Escalate Cyber Risks
The convergence of AI and quantum computing is creating a new landscape of cyber risks for organizations. AI enables attackers to automate and personalize threats at an unprecedented scale, while quantum computing threa…
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AI branding weaponized for social engineering attacks, exploiting user trust
Threat actors are increasingly leveraging the hype and excitement around Artificial Intelligence to craft highly effective social engineering attacks. By impersonating AI tools like "copilots" or "assistants," attackers…
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Quantum Computing Threatens Cybersecurity: CEOs Must Act Now
The threat of quantum computing breaking current cybersecurity is no longer a distant academic possibility, with major institutions like Google and the US government taking action. Executive Order 14144 and NIST's final…
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AI Red Teaming: Essential for System Security and Regulatory Compliance
AI red teaming is a crucial practice for identifying vulnerabilities in artificial intelligence systems before deployment. This adversarial testing simulates real-world attack scenarios, such as prompt injection and dat…
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New tool anchors documents to Algorand with quantum-resistant signatures
A new open-source tool called PQ Verifiable Archive has been released, designed to add a quantum-resistant notarization layer to signed documents. This tool anchors document hashes to the Algorand blockchain using post-…
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NIST develops laser-stirring 3D printing for custom alloys
Researchers at the National Institute of Standards and Technology (NIST) have developed a novel metal 3D printing technique that uses elliptical laser paths to stir molten metal during the printing process. This softwar…
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CMMC 2.0 regulations impose crippling costs on small defense contractors
New regulations for U.S. defense contractors, known as CMMC 2.0, are imposing significant financial burdens on small businesses. These regulations, intended to enhance cybersecurity against threats like AI and quantum c…
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LLM firms pivot to enterprise-grade systems with governance and security
Specialist LLM development firms are shifting focus from creating impressive demos to building auditable, secure production systems for enterprises. This evolution is driven by the need for robust governance, compliance…
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NIST proof: AI security guardrails can't be universally robust
A new mathematical proof by NIST scientist Apostol Vassilev demonstrates that no fixed set of security guardrails can make AI systems universally robust against adversarial prompts. The proof, which draws parallels to K…
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NIST expands chemical fingerprint library with new compounds
The National Institute of Standards and Technology (NIST) has updated its comprehensive library of chemical fingerprints, known as mass spectra, with tens of thousands of new compounds. This expanded library, NIST26, no…
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Human-targeted cyberattacks bypass tech defenses via social engineering
Human-targeted cyberattacks are increasingly successful because they exploit everyday business behaviors rather than solely relying on technical vulnerabilities. Attackers impersonate executives or hijack existing email…
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US AI Regulation: Fragmented, Sector-Specific, and Evolving
The US approach to AI regulation is fragmented, relying on sector-specific guidance and executive orders rather than a single overarching law. While Sam Altman has cautioned against pre-approval for AI models, arguing i…
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Synthetic data privacy risks detailed in NIST CRC win
Researchers have systematized reconstruction attacks on synthetic tabular data, revealing that the choice of synthetic data generation method significantly impacts privacy risk more than the attack method itself. Their …
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NIST AI model predicts safest fire evacuation routes
Researchers at NIST have developed a new AI model called Safe Step that can identify the safest evacuation routes during a fire. Unlike traditional algorithms that only consider current conditions, Safe Step uses reinfo…
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NIST uses lasers to whisk metal alloys during 3D printing
Researchers at NIST have developed a novel 3D printing technique that uses a laser to effectively "whisk" molten metal alloys together as they are formed. This method addresses a key challenge in creating high-performan…
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Trump signs AI order for voluntary 30-day government model review
President Trump has signed a revised executive order focused on AI cybersecurity, establishing a voluntary framework for companies to submit advanced models for government review up to 30 days before public release. Thi…
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AI Industrializes Vulnerability Discovery, Straining Cybersecurity Remediation
The traditional approach to cybersecurity, focused on identifying and fixing vulnerabilities, is becoming unsustainable due to the sheer volume of discovered flaws. AI is accelerating vulnerability discovery, outpacing …