All news with #autonomous agents tag

Securing and Governing Autonomous AI Agents in Business

🔐 Microsoft outlines practical guidance for securing and governing the emerging class of autonomous agents. Igor Sakhnov explains how agents—now moving from experimentation into deployment—introduce risks such as task drift, Cross Prompt Injection Attacks (XPIA), hallucinations, and data exfiltration. Microsoft recommends starting with a unified agent inventory and layered controls across identity, access, data, posture, threat, network, and compliance. It introduces Entra Agent ID and an agent registry concept to enable auditable, just-in-time identities and improved observability.

AI-Driven Endpoint Security: Key Findings from Gartner 2025

🔒 The Hacker News summarizes SentinelOne’s positioning after Gartner named it a Leader in the 2025 Magic Quadrant for Endpoint Protection Platforms for the fifth consecutive year. The piece spotlights the Singularity Platform as an AI-first solution—featuring an AI analyst and unified EDR, CNAPP, Hyperautomation, and AI SIEM—asserting FedRAMP High authorization and single-console control. Customer-reported outcomes cited include 63% faster detection, 55% reduced MTTR, and a reported 338% three-year ROI. Product capabilities emphasized include Purple AI natural-language threat hunting, one-click rollback, Storyline correlation, OCSF integration, and alignment with MITRE ATT&CK and NIST 800-207.

Cloudflare AI Week 2025: Securing AI, Protecting Content

🔒 Cloudflare this week outlines a multi-pronged plan to help organizations build secure, production-grade AI experiences while protecting original content and infrastructure. The company will roll out controls to detect Shadow AI, enforce approved AI toolchains, and harden models against poisoning or misuse. It is expanding Crawl Control for content owners and enhancing the AI Gateway with caching, observability, and framework integrations to reduce risk and operational cost.

Data Integrity Must Be Core for AI Agents in Web 3.0

🔐 In this essay Bruce Schneier (with Davi Ottenheimer) argues that data integrity must be the foundational trust mechanism for autonomous AI agents operating in Web 3.0. He frames integrity as distinct from availability and confidentiality, and breaks it into input, processing, storage, and contextual dimensions. The piece describes decentralized protocols and cryptographic verification as ways to restore stewardship to data creators and offers practical controls such as signatures, DIDs, formal verification, compartmentalization, continuous monitoring, and independent certification to make AI behavior verifiable and accountable.

Building the Frontier Firm with Microsoft Azure Modernization

🚀 Microsoft frames a new enterprise archetype—Frontier Firms—that embed AI agents across workflows and rearchitect operations around a modern cloud foundation. The post warns that AI cannot scale on legacy systems and that technical debt undermines agility, security, and innovation. It cites IDC findings showing substantial gains in agility, resilience, ROI, and speed to market when organizations migrate and modernize on Azure, and urges continuous modernization and use of Microsoft’s App Modernization Guidance.

The Brain Behind Next-Generation Cyber Attacks and AI Risks

🧠 Researchers at Carnegie Mellon University demonstrated that leading large language models (LLMs), by themselves, struggle to execute complex, multi-host cyber-attacks end-to-end, frequently wandering off-task or returning incorrect parameters. Their proposed solution, Incalmo, is a structured abstraction layer that constrains planning to a precise set of actions and validated parameters, substantially improving completion and coordination. The work highlights both enhanced offensive potential when LLMs are scaffolded and urgent defensive challenges for security teams.

Agent Factory: Enterprise Design Patterns for Agentic AI

🤖 Microsoft introduces the Agent Factory series to share best practices and design patterns for enterprise agentic AI that reasons, acts, and collaborates across workflows. The post outlines five core patterns—tool use, reflection, planning, multi-agent, and ReAct—and links them to real-world outcomes such as reduced proposal time and automated incident delivery. It stresses the need for a unified platform to manage security, identity, observability, and connectors. Azure AI Foundry is presented as a scalable end-to-end solution with flexible model choice, 1,400+ connectors, open protocols, and managed Entra Agent ID and RBAC.

Microsoft announces Phishing Triage Agent public preview

🛡️The Phishing Triage Agent is now in Public Preview and automates triage of user-reported suspicious emails within Microsoft Defender. Using large language models, it evaluates message semantics, inspects URLs and attachments, and detects intent to classify submissions—typically within 15 minutes—automatically resolving the bulk of false positives. Analysts receive natural‑language explanations and a visual decision map for each verdict, can provide plain‑language feedback to refine behavior, and retain control via role‑based access and least‑privilege configuration.