Anjuna Security Introduces Overwatch for Autonomous AI Governance
Anjuna Security announced in a press release the launch of Anjuna Overwatch, a control plane built on confidential computing to govern and secure autonomous AI agents. The system provides hardware-enforced governance and isolation for AI agents, addressing the need for incorruptible oversight as enterprises scale autonomous AI deployments.
Anjuna Overwatch operates within a Trusted Execution Environment powered by Anjuna Seaglass. It enforces context-based policies to control tool use, data access, and agent actions, ensuring agents operate only within approved boundaries. The platform is designed to run across cloud, on-premises, and air gapped environments.
According to the company, Overwatch enables enterprises to manage risk, compliance, and cost by providing visibility and control over agent behavior. The launch follows Anjuna’s recent collaborations with banking and government clients, and the company is inviting regulated enterprises to join an early feedback phase for the solution.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
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 Sandbox Oct 15 Singapore Launches Three AI Safety InitiativesMore from Enterprise
Oct 16 BOC Group Adds AI Assistant to ADOIT 21 Oct 16 Huawei Brings Upgraded Stellar Network Solution to Europe Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Huawei and 14 partners form Global AI CITY allianceCybersecurity 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
Anjuna Northstar Wins Data Privacy Solution of the Year Award
Omnissa Details Elara Governance Controls for AI and IT Actions
Optro Launches AI Agents for Audit and Compliance
Noma Security Named Market Shaper in Gartner AI Security Quadrant
Armor Founder Calls for Governed Enterprise AI at GovWare
Daily AI Brief: the AI news that matters, in your inbox.