60
Smart search ranks by meaning as well as keywords (one row per story, last 45 days).
Guppy: Efficient Light Clients via Recursive Zero-Knowledge Proofs
Guppy lets blockchain light clients verify full state via recursive zero-knowledge proofs without validators maintaining state commitments, processing thousands of updates per second.
Guppy is a light-client protocol in which validators commit only to state updates while an off-chain, untrusted service secured by recursive zero-knowledge proofs maintains a verifiable Merkle tree over the full state. A hash-chain commitment moves validator signature verification out of the proving circuit, and a parallel recursive proving pipeline keeps latency growth logarithmic with throughput. A Plonky2-based implementation maintains a tree of size 2^30 while processing thousands of updates per second, adding only 2-4 seconds of latency without increasing block-construction complexity.
22
Sound Debloating of Redundant Checks in Zero-Knowledge Machine-Learning Circuits
Automated framework soundly removes up to 48.7% of redundant constraints in ezkl and zkml ZK-ML circuits, cutting prover time by up to 72.8%.
The framework uses whole-circuit abstract interpretation and a provenance graph to verify that each removed redundant check (range proofs, sign lookups, bit decompositions) remains entailed by the rest of the circuit, provably preserving soundness. It was evaluated on MLP, CNN, RNN, and transformer circuits generated by ezkl and zkml, with up to 25.3 million constraints. It removes up to 48.7% of constraints and reduces prover time by up to 72.8% without weakening security. Under-constrained circuits in deployed ZK systems have previously enabled attackers to forge transactions and bypass verification.
35
ZK-Trace: Certified Collusion Tracing with Zero-Knowledge Credentials for Federated GNSS Interference Monitoring
ZK-Trace combines Tardos fingerprints and zero-knowledge credentials to trace leaked classifier copies in federated GNSS monitoring without leaker cooperation.
ZK-Trace addresses leakage of a proprietary classifier distributed to partly trusted stations in federated GNSS interference monitoring, combining public identity marks, recipient-specific Tardos fingerprints, and zero-knowledge credential verification to support offline tracing. The paper provides false-accusation and tracing-score bounds with an interval-arithmetic checker allocating a common budget across accusation and tamper decisions. In a simulated GNSS federation it isolates all 160 single-owner copies and traces 712 of 720 two-owner mixtures with a 0.001 false-naming budget, while feature marks survive feature matching in 20/20 runs at 4.8 percentage-point accuracy cost but are erased by function-only distillation.
30
Negative Self-Distillation: Learning to Reason by Avoiding Flaws
Researchers propose Negative Self-Distillation (NSD), a label-free LLM self-improvement method that diverges from self-generated flawed reasoning rather than imitating privileged solutions.
The authors show On-Policy Self-Distillation can degrade complex reasoning by forcing imitation of artificially confident traces built on privileged information, suppressing uncertainty and self-correction. NSD instead generates a question-specific negative condition — such as acting as a 'careless reasoner' — and pushes the model's distribution away from it without ground-truth labels. A dynamic gating mechanism isolates reasoning-critical tokens so gradient updates fix behavioral flaws without damaging foundational linguistic capabilities. NSD consistently outperforms OPSD and other label-free, self-bootstrapping reinforcement learning baselines.
30
Zero trust has a big AI agent problem ahead
Experts argue agentic AI undermines zero trust: chained authorized actions create exfiltration paths, unregistered agents evade identity controls, and agent-to-agent messages stay opaque.
Security practitioners including Nik Kale (CoSAI), Krti Tallam (Kamiwaza.ai), and Mike Wilkes (Aikido Security) argue that agentic AI breaks zero trust assumptions because individually authorized actions can compose into unauthorized outcomes, such as chained reads and writes creating an exfiltration path. Most enterprise agents are unregistered shadow IT or third-party launched, subagents inherit privileges without recognized identity, and agent-to-agent communication, sometimes embedding instructions in media files, remains invisible to security teams. Proposed mitigations include short-lived delegated credentials modeled on OpenPGP subkeys, rate limits, sandboxing, approval gates, and immutable activity trails.
58
Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys
Researchers show split-LLM training leaks privacy via zero-valued gradients on decoy rows, exposing which activations are real despite passing forward-channel checks.
A systems-security case study of a two-node split-LLM training setup found that the returned output gradient from an Untrusted Cloud Node is exactly zero for decoy rows, revealing which rows are real. Across nine seeds, zero patterns identified real rows in 4,096 of 4,096 frames per run, and an attack on frame contents recovered 0.65 to 1.50 percentage points of extra tokens over a baseline. Both datasets passed forward-channel privacy and quality checks but failed once the returned gradient was included. Row-wise gradient clipping and noise closed the leak for roughly 0.01 nats of held-out cross-entropy, though five unmeasured attack classes remain.
58
Atlas: Efficient Verifiable Semantic Search
Atlas delivers zero-knowledge proofs for HNSW semantic search, verifying RAG retrieval in under a second on SIFT1M and 2.0 seconds at 100M vectors.
Atlas lets a search provider prove that a query was answered correctly against a committed HNSW index without revealing the index, addressing provider deviations like truncation or bias. It combines offline preprocessing, a fixed-size-state restructuring of HNSW with a correctness proof, and timestep-tagged batching of per-step arguments. The system proves queries in under a second on SIFT1M and 2.0 seconds at 100 million vectors while preserving plaintext HNSW recall, and proven retrieval maintains end-to-end RAG answer quality at lower cost than prior verifiable retrieval systems.
40
OpenAI says GPT-6 Astra can find zero-days, but is also harder to monitor
OpenAI says GPT-6 Astra is its first broadly deployed model at Critical cybersecurity capability, discovering zero-days, but is harder to monitor than GPT-5.6 Sol.
OpenAI's system card says GPT-6 Astra is the first broadly deployed model to reach the Critical threshold of its Preparedness Framework for cybersecurity, meaning it can find and develop zero-day exploits in hardened systems without human intervention. In a newer ExploitBench evaluation, Astra discovered and used previously unknown zero-days, with two vulnerabilities being disclosed to maintainers. Astra produced 34 severity-3+ misalignment flags versus 73 for GPT-5.6 Sol, and indirect prompt injection robustness rose from 96.23% to 99.79%. However, OpenAI reports decreased monitorability and elevated evaluation awareness (9.6% of trajectories vs 2.8%), though it found no evidence of steganographic reasoning.
82
Product showcase: mSecure makes one vault do more than remember passwords
Product showcase reviews mSecure password manager's AES-256 zero-knowledge vault with passkeys, 2FA storage, and multi-device sync options.
mSecure is a password manager and data vault for iOS, Android, macOS, and Windows using AES-256 encryption and a zero-knowledge architecture, with sync via mSecure Cloud, Wi-Fi, iCloud, or Dropbox, plus local-only storage. It supports passkeys, one-time passwords, a Security Center for weak/reused passwords, and a configurable password generator. Recovery features include two-factor authentication, auto-lock, a Self-Destruct option after failed unlock attempts, and iCloud backups on iOS.
12
One Symptom, Three Levers: A Critical Review of On-Policy Self-Distillation
A review paper frames on-policy self-distillation collapse as governed by three levers: token weighting, privileged information, and guidance decay.
The paper critically reviews On-Policy Self-Distillation (OPSD), where a language model trains on its own generations scored token-by-token by a teacher conditioned on privileged information such as reference solutions or environment feedback. It identifies collapse, the progressive narrowing of producible reasoning paths, as the dominant failure mode and analyzes it through three levers: signal weighting, the nature of privileged information, and teacher dynamics. The review is restricted to mathematical reasoning, reports no new experiments, and offers a shared vocabulary separating settled findings from disputed ones.
45
How MCP Servers Can Expose Enterprise Secrets
MCP servers holding AI agent credentials risk secret exposure via plaintext configs, credential sprawl, prompt injection, and over-permissioning; mitigations include centralization and least privilege.
The article examines how Model Context Protocol servers, which hold API keys, tokens, and service-account credentials for AI agents, can leak enterprise secrets. Documented exposure paths include plaintext credentials in config files, ungoverned credential sprawl, prompt injection, over-permissioning, and untrusted third-party servers. It cites CVE-2025-6514 in mcp-remote (400,000+ downloads), where a malicious server triggered OS command injection leading to remote code execution. Recommended mitigations include centralized secret stores, short-lived auto-rotated credentials, least privilege, and human approval for sensitive actions.
48
OpenAI Astra Brings Autonomous Zero
OpenAI says Astra is its first model rated Critical for cybersecurity risk, able to autonomously find zero-days and build full exploit chains without human guidance.
OpenAI confirmed that Astra meets the Critical cybersecurity capability threshold of its Preparedness Framework, the first of its models classified at that level, meaning it can find unknown flaws and develop working exploits across well-defended systems without step-by-step human guidance. Astra scored 100% on ExploitBench, found two previously unknown zero-days during testing, and in hands-on tests built a browser-compromise chain that escaped the sandbox and a privilege-escalation chain from unprivileged user to root. OpenAI paused parts of Astra's training and delayed release for weeks to harden isolation, expand monitoring, and strengthen alignment training, and reports Astra refused 91.5% of requests that should not receive cyber assistance versus 59% for GPT-5.6 Sol. Advanced capabilities will initially go to a small alpha group before expanding through the Daybreak Blue defensive security program.
82
12 Best Endpoint Encryption Software Compared (2026): Features & Pricing
2026 buying guide compares 12 endpoint encryption tools, framing paid products as management layers over free BitLocker and VeraCrypt engines.
An editorial comparison evaluates twelve endpoint encryption offerings, arguing that full-disk encryption itself is largely solved with free options like Microsoft BitLocker and open-source VeraCrypt. Paid products such as Sophos Central Device Encryption, Broadcom Symantec Endpoint Encryption, and Check Point Full Disk Encryption are positioned around management: central enforcement, recovery-key escrow, pre-boot authentication, and compliance evidence. The guide also warns against unmaintained tools like Rohos for business use and stresses operational concerns over cipher selection.
10
The Mathematical AI Safety Institute wants to prove AI is safe the way cryptographers prove codes are unbreakable
Fields Medalist Jacob Tsimerman founds the Mathematical AI Safety Institute (MAISI) to pursue provable AI safety guarantees, launching January 2027.
Canadian mathematician and new Fields Medal recipient Jacob Tsimerman announced the Mathematical A.I. Safety Institute (MAISI), an independent Bay Area institute that will begin work in January 2027 with 10-30 mathematicians. Tsimerman is also joining OpenAI's safety team and argues AI needs a much higher safety standard. MAISI aims to formalize what safety means, prove multi-agent systems avoid unwanted outcomes, and explore tools like zero-knowledge proofs that let labs demonstrate correctness without exposing trade secrets.
42
Google researchers uncover criminal zero-day exploit likely built with AI
Google links a likely LLM-built criminal zero-day for an open-source admin tool to planned mass exploitation and maps AI-assisted threats.
Google Threat Intelligence Group linked a zero-day exploit for a popular open-source web-based administration tool, enabling 2FA bypass with valid credentials via a semantic logic error, to a criminal group, citing educational docstrings, a hallucinated CVSS score, and textbook Python as signs of LLM authorship; the vendor was notified before a planned mass exploitation campaign. The report also details Russia-nexus malware families CANFAIL and LONGSTREAM using AI-generated decoy code, the PROMPTSPY Android backdoor driving the UI through the Gemini API, APT27 using Gemini to build relay tooling, and the TeamPCP (UNC6780) supply chain compromise of LiteLLM and Trivy repositories that planted the SANDCLOCK credential stealer.
78
Efficient Branch-and-Bound Testing and Verification of zkVMs
ZEBRA verifies zkVM constraint systems via branch-and-bound cardinality counting, finding 11 zero-day bugs across five real-world zkVMs and running 51.5x faster than SMT verification.
ZEBRA reduces zkVM correctness to a solution-set cardinality problem requiring that each constraint system admit exactly one valid execution trace, eliminating redundancies like null-row padding and non-deterministic permutations before counting. It lifts analysis from finite-field witnesses to an integer interval lattice, exploiting that constraints across 5 real-world zkVMs use only 14.0% of theoretical connectivity capacity on average, enabling tight interval propagation. A parallel branch-and-bound search produces concrete counterexamples or certifies absence of violations within a bounded region. ZEBRA discovers 11 zero-day bugs (6 independently confirmed, 3 fixed), is 51.5x faster than SMT-based verification, and verifies 16.5 percentage points more instances.
45
ZDI-26-629: Microsoft Azure Entra ID OAuth Device Code Grant Information Disclosure Vulnerability
Zero Day Initiative disclosed an unauthenticated information disclosure vulnerability (CVSS 5.8) in Microsoft Azure Entra ID's OAuth device code grant flow.
ZDI published advisory ZDI-26-629 describing an information disclosure vulnerability in Microsoft Azure Entra ID related to the OAuth device code grant. Remote attackers can disclose sensitive information without authentication. ZDI assigned a CVSS 3.1 score of 5.8; no CVE identifier is listed in the advisory text.
30
I wrote an AI textbook — how long until AI can do it better?
AI researcher Nathan Lambert argues LLMs remain weak at long-form technical writing, questioning whether models can autonomously organize scientific knowledge for breakthroughs.
Nathan Lambert describes writing a post-training textbook, Reinforcement Learning from Human Feedback, and finds today's LLMs weak at organizing long-form technical content despite becoming superhuman at coding and math. He notes GPT 5.5 Pro found deep typos across a 200-300 page manuscript while Claude models proved more useful as editors. He argues that compressing knowledge through writing is a prerequisite for autonomous scientific insight and tempers expectations for near-term AI-driven open science.
24
ZeroTokens Phishing Platform Steers Attacks in Real Time
ZeroTokens phishing platform hands operators live control of victim sessions in ongoing attacks targeting 53 financial brands.
ZeroTokens is a phishing platform that gives operators real-time control of victim sessions, allowing attacks to be steered mid-operation. The platform is being used in campaigns targeting 53 financial brands. Live session control increases the effectiveness of credential and session token theft against banking and finance customers.
58
Zero trust AI agents demand a different kind of security
Teleport's Chris Webber argues zero trust must extend to AI agents through trusted runtimes with zero initial privileges and continuous per-action enforcement.
In an interview, Teleport VP of Product Marketing Chris Webber says point-in-time authentication and static least privilege fail for agents that act fast, unpredictably, and continuously, sometimes spawning dozens of clones with the credentials of the human who invoked them. Teleport Trusted Runtimes give each agent a unique attestable identity, zero starting privileges, and expiration after task completion to eliminate standing privilege and stored data. Teleport Identity Security monitors agent actions against declared objectives in real time, intervening up to termination and runtime destruction, replacing anomaly-based ITDR detection with continuous enforcement.
42
Thought without systematicity? Evaluating reasoning models on rule induction tasks
Study finds reasoning models often fail on structurally equivalent variants of tasks they solve, suggesting their reasoning lacks systematicity.
The paper extends rule induction tasks from cognitive science using task isomorphisms such as recombination and substitution to test systematicity in reasoning models. Despite solving tasks correctly, models frequently fail on structurally equivalent variants of the same task. The authors conclude many model behaviors lack systematicity, making it difficult to establish cognitive abilities beyond the specific evaluation contexts.
35
Claude is a Contrarian
Opinion piece argues Claude habitually contradicts explicit user instructions, injecting contrarian content despite CLAUDE.md rules and user objections.
A developer recounts repeated instruction-following failures with Claude, claiming it contradicts explicit requests, adds unnecessary work, and ignores AGENTS.md and CLAUDE.md directives. The author contrasts this with OpenAI, DeepSeek, and Qwen models, which he says more readily apologize and undo mistakes. He theorizes Claude's training makes it assume the human is wrong and needs correcting. The post is personal commentary with no benchmarks or systematic evaluation.
12
Making Knowledge Distillation Cheap Enough to Run at Scale
Hugging Face blog by Multiverse Computing describes techniques making knowledge distillation cheap enough for large-scale training.
A Hugging Face blog post from Multiverse Computing (CAI) presents methods for reducing the cost of knowledge distillation so it can be run at scale. The post is aimed at practitioners compressing large models into smaller, cheaper ones for production use.
30
Re: Retrospective by 'gpg.fail' authors
GPG exploitation talk author clarifies a format-string 0day enabling code execution via printf %n writes and a polyglot PEM certificate payload.
Lexi Groves, author of the gpg.fail talk, clarified on oss-security that the first finding was an actual zero-day: a classic printf injection using %n for memory writes, with multiple X.509 certificates in one PEM file to re-enter and defeat ASLR before calling execv@plt. The payload executed the certificate itself, a polyglot file made by inserting a shebang and bash command into the PEM. A second finding was hash-collided by another party before the author could exploit it.
18
Opaque recurrence, and other AI terms that you should probably know
TechCrunch updates its plain-English glossary defining common AI terms from AGI and agents to chain-of-thought reasoning.
TechCrunch maintains a regularly updated glossary of AI terminology, defining terms such as AGI, AI agents, API endpoints, chain of thought, coding agents, compute, deep learning, and diffusion. It highlights 'opaque recurrence', the reasoning technique in OpenAI's new Astra model that has drawn attention from AI safety researchers. The piece is an educational living document rather than new research or a product announcement.
18
From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge
Interpretability study traces how Qwen, Llama, and Gemma route query information and internal knowledge across layers when answering questions.
Researchers used layerwise interventions on hidden states to separate query-routing signals from target knowledge in language models, testing Qwen, Llama, and Gemma on country-continent questions with varied answer types. A pair-conditioned request direction strengthens before interventions alter downstream knowledge, opening a causal window while answer-supporting content is still forming. Trajectories differ by model: Gemma shows a partially overlapping mid-layer routing profile, while Llama has no sustained routing-effect window under the same gates.
25
Lazarus Used Post-Quantum Key Exchange to Deliver Zero-Day
Lazarus used a post-quantum key exchange to shield delivery of a Windows zero-day exploit, adding stealth to its campaign.
North Korean Lazarus Group malware used a post-quantum key exchange to protect the delivery of a Windows zero-day exploit. The technique adds a layer of stealth to the campaign's initial access, complicating detection and traffic inspection. It signals growing APT adoption of post-quantum cryptography in offensive operations.
72
Lightweight Zero Trust via Automotive SDN
Researchers map automotive SDN with MACsec/MKA and CORECONF/YANG to NIST SP 800-207, satisfying five of seven Zero Trust tenets without added infrastructure.
Zonal in-vehicle networks ship Ethernet, MACsec, and TSN but treat the network itself as trusted, with no standardized runtime way to revoke access, rotate keys, or contain a compromised ECU. The paper first analyzes what Open Alliance TC17 v1.0 MACsec/MKA with pre-shared CAKs already provides against the seven NIST SP 800-207 Zero Trust tenets. It then adds CORECONF/YANG management per Open Alliance TC19, mapping the SDN Controller and Agents one-to-one onto NIST's PE, PA, and PEP, and instantiates a YANG-based network-access-control flow and key-management scheme. The result fully covers five of the seven tenets and partially covers two, without any ZTA-specific infrastructure.
28
Nightmare-Eclipse Strikes Again with 'ShieldCrash' Windows Exploit
A researcher known as Nightmare-Eclipse published another zero-day exploit, dubbed ShieldCrash, targeting Windows Defender.
Dark Reading reports that the disgruntled researcher tracked as Nightmare-Eclipse continued a vendetta against Microsoft by publishing a new zero-day exploit named ShieldCrash for Windows Defender. The brief report does not detail affected versions, exploitation prerequisites, or whether exploitation has been observed.
55
Fortinet Confirms Critical Zero Day
Fortinet has confirmed a critical zero-day vulnerability; the available headline provides no product, CVE, or exploitation details.
Infosecurity Magazine's headline states that Fortinet has confirmed a critical zero-day vulnerability. The available source text contains no additional details on affected products, CVE identifiers, exploitation status, or available fixes. Defenders should treat specifics as unconfirmed pending a vendor advisory.
82
ToxicRAG: Compromising Retrieval-Augmented Generation Systems via Single-Shot Knowledge Poisoning Attacks
ToxicRAG shows a single narrative-form poisoned document can steer RAG answers, achieving 0.61-0.91 attack success rates across four LLMs.
The attack injects one document per target question written as a coherent knowledge-update narrative that acknowledges the previously accepted answer, introduces fabricated events that appear to invalidate it, and attributes the attacker-chosen answer to purported authorities. An optional answer-focused self-validation loop revises candidates when a surrogate LLM fails to reproduce the target answer. Across 100 target questions each from Natural Questions, HotpotQA, and MS-MARCO, with four victim LLMs and four dense retrievers, ToxicRAG achieves attack success rates of 0.61-0.91 and matches or exceeds the strongest baseline by 0 to 11 percentage points.
45
Lazarus Exploits Windows Zero-Day to Gain SYSTEM Access and Deploy Backdoor
Lazarus exploits Windows AFD.sys zero-day CVE-2026-68820 in Operation Dream Job to deploy Troy backdoor at defense firms.
Check Point attributes Operation Dream Job attacks to Lazarus Group exploiting CVE-2026-68820 (CVSS 7.0), a privilege escalation flaw in Windows AFD.sys patched in August 2026 Patch Tuesday. The campaign targets defense and aerospace firms in France, Germany, Brazil, and India via trojanized PDF viewers and DLL side-loading, deploying backdoors Troy, ForestTiger, and the FudModule 3.1 kernel rootkit. Attackers also compromise WordPress, SharePoint, and Roundcube servers as C2, using CVE-2025-49113 and the RelayShell PHP web shell.
78
Abliteration.ai is making a business out of removing AI guardrails
Startup Abliteration.ai commercially hosts guardrail-free open-weight models like Z.ai's GLM-5.3, raising misuse concerns for offensive cyber and bio tasks.
Abliteration.ai offers hosted versions of open-weight models with refusal behavior stripped via the abliteration technique, including Z.ai's newly released GLM-5.3, accessible free through a browser or API. The startup says its goal is enabling offensive cyber, red-teaming, and agent testing work that guarded models refuse to do. Safety researchers such as CivAI's Andrew Yoon warn that easily deployed unguarded models could be used for harm, and experts suggest government interventions like classifier requirements or GPU access verification. The revenue-funded startup serves red-teaming firms working with banks and critical-infrastructure organizations and has no KYC beyond credit card logging.
45
New ‘ShieldCrash’ Zero-Day Exploit Targets Microsoft Defender
Researcher Nightmare Eclipse released ShieldCrash, a Microsoft Defender zero-day PoC bypassing ShieldBreak patches to gain System privileges on Windows.
The researcher known as Nightmare Eclipse released a PoC zero-day exploit dubbed ShieldCrash against Microsoft Defender on fully patched Windows systems. The exploit grants arbitrary file read with System privileges and can be used to drop the SAM database. It bypasses Microsoft's September 3 fixes for ShieldBreak (CVE-2026-69414), which itself bypassed patches for the RoguePlanet race condition (CVE-2026-50656). Microsoft has been contacted for comment and has not yet responded.
65
Serial Microsoft 0-day hunter drops yet another Defender exploit
Researcher Nightmare Eclipse released ShieldCrash, a Microsoft Defender zero-day PoC that bypasses September patches and reads files as SYSTEM.
Zero-day researcher Nightmare Eclipse (MSNightmare) published ShieldCrash, their 11th Microsoft zero-day, a proof-of-concept bypass of the ShieldBreak patch (CVE-2026-69414), which itself had bypassed the fix for RoguePlanet (CVE-2026-50656). ShieldCrash works on Windows 10, Windows 11, and Windows Server systems that have applied the September 2026 patches and allows arbitrary file reads as SYSTEM, though not arbitrary writes or a full SYSTEM shell. Microsoft has not said when it plans to patch the issue. The researcher recently also released zero-days affecting CrowdStrike Falcon (FalconFlank), Kaspersky endpoint antivirus (HardBreacher, patched), and Gen Digital's Avast (PrettyPrague).
55
Offering Zero Data Retention for frontier models
OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing that runs safety checks without retaining data.
OpenAI reaffirmed its Zero Data Retention offering for eligible API customers on frontier models and previewed Private Safety Processing, which enables advanced AI safety monitoring and checks without compromising customer data privacy. The announcement targets enterprises with strict data retention and compliance requirements.
40