CJIS v6.1 Compliance: 5 Practical Priorities for Agencies
CJIS v6.1 requires agencies to maintain strong authentication, account security, and audit controls while demonstrating
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A Nigerian national was sentenced to eight years in prison for his involvement in a series of spearphishing attacks targ
Microsoft announced that IT administrators can now use quick machine recovery on Windows Server 2025 after installing th
Ahold Delhaize, one of the world's largest food retail chains, confirmed that last week's cyberattack disrupted services
Fintech company Revolut is working to resolve a massive outage that disrupted most of its services worldwide earlier tod
An attacker used a contributor's GitHub account to replace the download archives on five existing releases of OVHcloud's
Across multiple short compromise windows, users were served a downloader for the ShinyRoad modular backdoor framework. T
The increasing complexity of Industrial Control Systems (ICS) and their integration with IT infrastructures has signific
Modern LLM agents persist state across sessions via two channels: long-lived memory files silently prepended to the syst
Agentic AI extends large language models (LLMs) from generating responses to planning and executing complex workflows, s
Large language model (LLM) agents increasingly use persistent memory to personalize responses, and personal attributes i
AI agents keep long-term memory, much of which comes from web pages and tool results. Agent harnesses, the software that
LLMs increasingly operate over mixed-sensitivity contexts, where they must reason over information ranging from public t
Continuous fuzzing is used for vulnerability detection in Open Source Software (OSS). Large-scale services such as Googl
Large language models (LLMs) can improve honeypot realism by generating dynamic, context-aware responses, but powerful c
Autonomous LLM agents act through tools under per-action authorization: a local guard screens each tool call in isolatio
Multi-agent systems are increasingly deployed to coordinate multiple large language model (LLM) agents. However, this al
When an LLM agent acts on behalf of a user, it is expected to act within the authorization scope the user grants. Existi
Beneath the apparent diversity of foundation models lies an increasingly homogeneous technical stack of common training
Large language models are deployed globally, yet safety alignment and evaluation remain concentrated in English: harmful