LLMs

Researchers build an encrypted routing layer for private AI inference

Researchers build an encrypted routing layer for private AI inference 2026-04-21 at 07:31 By Sinisa Markovic Organizations in healthcare, finance, and other sensitive industries want to use large AI models without exposing private data to the cloud servers running those models. A cryptographic technique called Secure Multi-Party Computation (MPC) makes this possible. It splits data […]

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Command integrity breaks in the LLM routing layer

Command integrity breaks in the LLM routing layer 2026-04-16 at 09:02 By Sinisa Markovic Systems that rely on LLM agents often send requests through intermediary routing services before reaching a model. These routers connect to different providers through a single endpoint and manage how requests are handled. This layer can influence what gets executed and

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OpenAI expands its cyber defense program with GPT-5.4-Cyber for vetted researchers

OpenAI expands its cyber defense program with GPT-5.4-Cyber for vetted researchers 2026-04-15 at 10:02 By Sinisa Markovic Defending critical software has long depended on the ability to find and fix vulnerabilities faster than attackers can exploit them. OpenAI is expanding a program designed to give professional defenders prioritized access to AI tools built for that

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What vibe hunting gets right about AI threat hunting, and where it breaks down

What vibe hunting gets right about AI threat hunting, and where it breaks down 2026-04-10 at 08:57 By Mirko Zorz In this Help Net Security interview, Aqsa Taylor, Chief Security Evangelist, Exaforce, explains vibe hunting, an AI-driven approach to threat detection that inverts traditional hypothesis-driven methods. Instead of analysts defining attack vectors upfront, the AI

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Prompt injection tags along as GenAI enters daily government use

Prompt injection tags along as GenAI enters daily government use 2026-04-09 at 08:27 By Sinisa Markovic Routine use of GenAI has moved into daily operations in state and territorial government environments, placing new security risks within common workflows. A Center for Internet Security (CIS) report, Prompt Injections: The Inherent Threat to Generative AI, identifies prompt

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Google study finds LLMs are embedded at every stage of abuse detection

Google study finds LLMs are embedded at every stage of abuse detection 2026-04-07 at 09:24 By Anamarija Pogorelec Online platforms are running large language models at every stage of LLM content moderation, from generating training data to auditing their own systems for bias. Researchers at Google mapped how this is happening across what the authors

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Financial groups lay out a plan to fight AI identity attacks

Financial groups lay out a plan to fight AI identity attacks 2026-04-01 at 10:34 By Mirko Zorz Generative AI tools have brought the cost of deepfake production low enough that criminals and state-sponsored actors now use them routinely against financial institutions. A joint paper from the American Bankers Association, the Better Identity Coalition, and the

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Breaking out: Can AI agents escape their sandboxes?

Breaking out: Can AI agents escape their sandboxes? 2026-03-30 at 07:30 By Anamarija Pogorelec Container sandboxes are part of routine AI agent testing and deployment. Agents use them to run code, edit files, and interact with system resources without direct access to the host. The SandboxEscapeBench benchmark, developed by researchers at the University of Oxford

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AI SOC vendors are selling a future that production deployments haven’t reached yet

AI SOC vendors are selling a future that production deployments haven’t reached yet 2026-03-26 at 12:32 By Mirko Zorz Vendors selling AI-powered security operations platforms have built their pitches around a consistent set of promises: autonomous threat investigation, dramatic reductions in analyst workload, and an accelerating path toward humanless operations. Practitioners buying and deploying those

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A nearly undetectable LLM attack needs only a handful of poisoned samples

A nearly undetectable LLM attack needs only a handful of poisoned samples 2026-03-26 at 12:32 By Mirko Zorz Prompt engineering has become a standard part of how large language models are deployed in production, and it introduces an attack surface most organizations have not yet addressed. Researchers have developed and tested a prompt-based backdoor attack

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Google’s TurboQuant cuts AI memory use without losing accuracy

Google’s TurboQuant cuts AI memory use without losing accuracy 2026-03-25 at 10:24 By Anamarija Pogorelec Large language models carry a persistent scaling problem. As context windows grow, the memory required to store key-value (KV) caches expands proportionally, consuming GPU memory and slowing inference. A team at Google Research has developed three compression algorithms: TurboQuant, PolarQuant,

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AI got it wrong with high confidence. Now what?

AI got it wrong with high confidence. Now what? 2026-03-19 at 09:02 By Mirko Zorz In this Help Net Security interview, Christian Debes, Head of Data Analytics & AI at SPRYFOX, talks about the growing gap between what AI models do and what their operators can explain. He argues this gap is already a liability,

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Engineering trust: A security blueprint for autonomous AI agents

Engineering trust: A security blueprint for autonomous AI agents 2026-03-05 at 07:06 By Help Net Security AI agents have evolved from just chatbots, answering questions to executing actions using various integrated tools, often autonomously, and as such the traditional security models have become less efficient. I have seen that firsthand as a security lead for

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Waiting for AI superintelligence? Don’t hold your breath

Waiting for AI superintelligence? Don’t hold your breath 2026-01-27 at 09:44 By Sinisa Markovic AI’s impact on systems, security, and decision-making is already permanent. Superintelligence, often referred to as artificial superintelligence (ASI), describes a theoretical stage in which AI capability exceeds human cognitive performance across domains. Whether current systems are progressing toward cybersecurity superintelligence remains

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Unbounded AI use can break your systems

Unbounded AI use can break your systems 2026-01-22 at 08:01 By Help Net Security In this Help Net Security video, James Wickett, CEO of DryRun Security, explains cyber risks many teams underestimate as they add AI to products. He focuses on how fast LLM features are pushed into live applications without limits or guardrails. The

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EU’s Chat Control could put government monitoring inside robots

EU’s Chat Control could put government monitoring inside robots 2026-01-12 at 07:40 By Sinisa Markovic Cybersecurity debates around surveillance usually stay inside screens. A new academic study argues that this boundary no longer holds when communication laws extend into robots that speak, listen, and move among people. Researchers Neziha Akalin and Alberto Giaretta examine the

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Turning plain language into firewall rules

Turning plain language into firewall rules 2026-01-06 at 09:00 By Sinisa Markovic Firewall rules often begin as a sentence in someone’s head. A team needs access to an application. A service needs to be blocked after hours. Translating those ideas into vendor specific firewall syntax usually involves detailed knowledge of zones, objects, ports, and rule

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AI security risks are also cultural and developmental

AI security risks are also cultural and developmental 2026-01-05 at 08:32 By Anamarija Pogorelec Security teams spend much of their time tracking vulnerabilities, abuse patterns, and system failures. A new study argues that many AI risks sit deeper than technical flaws. Cultural assumptions, uneven development, and data gaps shape how AI systems behave, where they

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LLMs are automating the human part of romance scams

LLMs are automating the human part of romance scams 2025-12-29 at 09:03 By Sinisa Markovic Romance scams succeed because they feel human. New research shows that feeling no longer requires a person on the other side of the chat. The three stages of a romance-baiting scam Romance scams depend on scripted conversation Romance baiting scams

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LLMs can assist with vulnerability scoring, but context still matters

LLMs can assist with vulnerability scoring, but context still matters 2025-12-26 at 08:26 By Sinisa Markovic Every new vulnerability disclosure adds another decision point for already stretched security teams. A recent study explores whether LLMs can take on part of that burden by scoring vulnerabilities at scale. While the results show promise in specific areas,

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