reskSecure
PulseAugur coverage of reskSecure — every cluster mentioning reskSecure across labs, papers, and developer communities, ranked by signal.
6 day(s) with sentiment data
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New reskSecure tool blocks LLM prompt injection at token level
A new security tool called reskSecure has been developed to combat indirect prompt injection attacks against large language models, particularly those used in applications like travel assistants. The tool operates by en…
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AI agent security: Controlling LLM actions at the tool boundary
AI agent security focuses on controlling the actions of LLM systems, not just their output. Best practices emphasize implementing access controls at the tool boundary rather than relying solely on prompt-level defenses.…
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reskSecure introduces LLM firewall to prevent PII exfiltration
A new security tool called reskSecure has been introduced to protect customer-support AI assistants from sensitive data exfiltration. The tool acts as an LLM firewall, blocking forbidden phrases and unauthorized tool ca…
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AI agent security hinges on tool boundary controls, not prompts
Securing AI agents requires implementing access controls at the tool boundary, rather than relying on the model's prompt for security. The recommended approach involves authenticating the caller, authorizing specific to…
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LLMs tested on Godot coding; AI agent security guide released
A new benchmark from Flockbay tested several large language models on their ability to generate Godot Engine code, with Claude Opus 5.5, Claude Sonnet 5.5, and GPT-6.1 Sol all passing 15 out of 15 tasks. Claude Haiku 4.…
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AI agent security: shift focus from prompts to tool permissions
This cluster of articles discusses AI agent security, emphasizing that the primary vulnerability lies not in prompt manipulation but in the broad permissions granted to agents. The core issue is that agents, which combi…
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New reskSecure tool blocks LLM jailbreaks at the generation level
A new Python package called reskSecure has been developed to enhance the security of Large Language Models (LLMs) used in automated content moderation. This tool acts as a firewall, operating at the logits level to prev…
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AI Agents: Secure Tool Access and Monitoring Best Practices Detailed
This series of articles from dev.to discusses best practices for implementing access controls and monitoring for AI agents. The core message emphasizes that security should be enforced at the tool invocation boundary, r…
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reskSecure introduces bitmask firewall for LLM access control
The reskSecure Python package introduces a novel approach to LLM security by implementing a 64-bit permission bitmask firewall. This system encodes agent capabilities and user permissions into bits, enforcing them direc…
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New Python package reskSecure acts as LLM firewall to block jailbreaks
A new Python package called reskSecure has been developed to act as a firewall for large language models, aiming to prevent jailbreaks and prompt injections. Unlike traditional methods that rely on prompt engineering or…
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New reskSecure method blocks LLM jailbreaks at token level
A new security approach called reskSecure has been developed to prevent prompt injection attacks against LLM agents. Unlike traditional methods that rely on prompt filtering or post-generation moderation, reskSecure ope…
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Resk-Security launches open-source LLM firewall to block harmful tokens
Resk-Security has released reskSecure, a new open-source tool designed to enhance LLM security by filtering at the logits level before token generation. This preventive approach aims to block harmful tokens from being s…
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New Bitmask Firewall Enhances LLM Security
The reskSecure project introduces a novel bitmask-based firewall designed to enhance the security of Large Language Models (LLMs). This approach aims to provide a robust defense mechanism against potential threats and v…
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ReskSecure library blocks LLM jailbreaks at logits level
Resk has released reskSecure, a Python library designed to prevent prompt injection and jailbreak attacks in production LLM systems. Unlike traditional methods that filter output text, reskSecure operates at the logits …
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RESK Security launches logit-level LLM security tools
RESK Security has developed two new tools, resk-logits and reskSecure, designed to enhance LLM security by intervening at the logit level before tokens are sampled. These tools aim to prevent the generation of harmful c…
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Model distillation attacks pose growing AI security threat
Model distillation attacks, where a smaller model learns from a larger one's outputs, pose an under-recognized security threat to AI systems. These attacks can bypass safety alignments, leading to models that generate h…
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Anthropic's Mythos 5 authorized, Fable 5 to return; OpenAI unveils GPT-5.6 series
The AI landscape has been significantly reshaped by recent developments, particularly concerning Anthropic's models and OpenAI's new releases. Anthropic's advanced cybersecurity model, Mythos 5, has received US governme…