A Medium article tests Jev as a prompt injection guardrail against four other options. Jev led on realistic attacks, while a free model matched paid options on simple attacks. The author found Jev's promised reliable confidence scores did not hold up in practice.
Blogger tests TypeSafe's Jev decision model on fraud use case
Blogger tests TypeSafe's Jev decision model on fraud use case
A developer who built a WebMCP demo for a hackathon argues the protocol supercharges the old risk of clicking untrusted links, because agents decide to trust a tool based on its description rather than its actual behavior. The post asks how the community can defend against malicious tools hiding behind benign descriptions, suggesting zero trust and least privilege, and proposing that Jev could verify that a tool's description matches its execution before an agent adopts it.
A developer who built a WebMCP demo for a hackathon argues the protocol supercharges the old risk of clicking untrusted links, because agents decide to trust a tool based on its description rather than its actual behavior. The post asks how the community can defend against malicious tools hiding behind benign descriptions, suggesting zero trust and least privilege, and proposing that Jev could verify that a tool's description matches its execution before an agent adopts it.
Medium publishes AI security guide for production LLM systems covering prompt injection and guardrails
Medium publishes AI security guide for production LLM systems covering prompt injection and guardrails
A new paper on arXiv shows that LLM judges become overly generous when evaluating open-ended responses without a reference answer. The study uses calibration and sensitivity experiments across three languages to demonstrate the bias.
A new paper on arXiv shows that LLM judges become overly generous when evaluating open-ended responses without a reference answer. The study uses calibration and sensitivity experiments across three languages to demonstrate the bias.
A practitioner ran a few hundred realistic, buried prompt-injection attacks and benign traffic through about ten open-source detectors. A well-known model caught roughly 1% of attacks at its default threshold despite ranking attack scores ~10x above benign text; retuning the threshold restored near-total catch rate. The finding matters to anyone shipping guardrails: health checks cannot distinguish a working detector from a silently ineffective one.
A practitioner ran a few hundred realistic, buried prompt-injection attacks and benign traffic through about ten open-source detectors. A well-known model caught roughly 1% of attacks at its default threshold despite ranking attack scores ~10x above benign text; retuning the threshold restored near-total catch rate. The finding matters to anyone shipping guardrails: health checks cannot distinguish a working detector from a silently ineffective one.