EchoGram Attack Bypasses AI Guardrails
Article Content
Browse articles
Researchers from HiddenLayer have identified a new attack technique called EchoGram that can bypass AI guardrails designed to filter harmful input in large language models (LLMs). This technique allows users to manipulate guardrail decisions, potentially leading to unsafe outputs and increased false positives. The findings highlight vulnerabilities in the safety mechanisms of LLMs.
Ask AI about this cluster
Answers cite the sources they use
Updated 182d ago How this analysis works
More articles in this cluster (3)
Continue Reading
Multiple Critical CVEs Exploited in Cybersecurity Attacks A series of vulnerabilities, including CVE-2025-49144, CVE-2025-31702, and CVE-2026-46333, have been identified, affecting systems like Notepad++ and FortiWeb devices. These vulnerabilities allow for local privilege escalation, SQL injection, and remote code execution. Attackers exploit these flaws through various…
Fortinet FortiWeb Vulnerabilities Enable Potential Takeover Fortinet has disclosed critical vulnerabilities in its FortiWeb web application firewall, allowing attackers to execute arbitrary code and potentially take over affected systems. The vulnerabilities, identified as CVE-2026-1234 and CVE-2026-1235, affect multiple versions of FortiWeb. Attackers can exploit these flaws…