Sevii Adds APS Module to ADR Cybersecurity Platform
Sevii has made its Autonomous Preemptive Security module generally available for its Autonomous Defense and Remediation platform, the company announced in a press release. The announcement was made at Black Hat USA 2026 in Las Vegas.
The APS module is built to convert external and internal cyber intelligence into hypothesis hunting, exposure validation, compromise detection, and remediation actions. It operates through Sevii's ADR AI governance control policy engine.
APS uses external threat intelligence from commercial feeds, ISACs, partners, open source feeds, government advisories, and zero day research. It also uses intelligence generated by the ADR platform from customer investigations and hunts.
The module adds two agent classes. G2 determines customer relevance, correlates intelligence against customer assets, creates intelligence cases, and prioritizes operational risk. Jäger HK creates and runs hunts across endpoint, identity, cloud, network, and security platforms to find vulnerable assets or existing compromise.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Oct 16 Inlayer, JLINC and Vconic Introduce Human Verification for Calls Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Advantech and DEKRA Partner on Industrial Cybersecurity Compliance Oct 15 Cyfendo Offers AI Code Scanning and Patch Review for Small Businesses Oct 15 Perplexity Open Sources SPACE Agent SandboxCybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
PRE Security Launches AgentGuard for AI Agent Monitoring
Amplifier Security Adds AI Agent Controls to Workforce Security Platform
Leidos Launches AI Platform for Security Operations
OculusIT Adds Seceon AI Security Platform for Colleges
TrendAI Previews Autonomous Source Code Vulnerability Service
Daily AI Brief: the AI news that matters, in your inbox.