All news with #autonomous agents tag

Blueprint for Building Safe and Secure AI Agents at Scale

🔒 Azure outlines a layered blueprint for building trustworthy, enterprise-grade AI agents. The post emphasizes identity, data protection, built-in controls, continuous evaluation, and monitoring to address risks like data leakage, prompt injection, and agent sprawl. Azure AI Foundry introduces Entra Agent ID, cross-prompt injection classifiers, risk and safety evaluations, and integrations with Microsoft Purview and Defender. Join Microsoft Secure on September 30 to learn about Foundry's newest capabilities.

Villager: AI-Native Red-Teaming Tool Raises Alarms

⚠ Villager is an AI-native red-teaming framework from a shadowy Chinese developer, Cyberspike, that has been downloaded more than 10,000 times in roughly two months. The tool automates reconnaissance, exploitation, payload generation, and lateral movement into a single pipeline, integrating Kali toolsets with DeepSeek AI models and publishing on PyPI. Security firms warn the automation compresses days of skilled activity into minutes, creating dual-use risks for both legitimate testers and malicious actors and raising supply-chain and detection concerns.

AWS CloudTrail MCP Server Adds Natural-Language Security

🔒 AWS Labs published a Model Context Protocol (MCP) server for CloudTrail that enables AI assistants to perform security and compliance analysis via natural‑language queries. The server provides direct access to CloudTrail events and CloudTrail Lake, allowing searches of 90‑day management event histories and Trino SQL queries on Lake data spanning up to 10 years. By exposing these capabilities through a conversational interface, the MCP server removes the need for bespoke API integrations and streamlines investigation and compliance workflows. The component is available in regions that support CloudTrail LookupEvents or CloudTrail Lake and is available with code and documentation in the AWS Labs repository.

Prisma SASE 4.0: AI-Ready Security for Distributed Work

🔒 Prisma SASE 4.0 is positioned as a unified, cloud-delivered security platform engineered for the AI era. It combines AI-powered threat protection, frictionless data security for structured and unstructured content, and unified intelligent operations to automate deployment and troubleshooting. New capabilities include browser-based postload inspection, an Advanced DNS Resolver with Precision AI, SaaS security posture monitoring for AI agents, and Autonomous Digital Experience Management to preserve performance and resilience.

Amazon Neptune Integrates with Zep for Long-Term Memory

🧠 Amazon Web Services announced integration of Amazon Neptune with Zep, an open-source memory server for LLM applications, enabling persistent long-term memory and contextual history. Developers can use Neptune Database or Neptune Analytics as the graph store and Amazon OpenSearch as the text-search layer within Zep’s memory system. The integration enables graph-powered retrieval, multi-hop reasoning, and hybrid search across graph, vector, and keyword modalities, simplifying the creation of personalized, context-aware LLM agents.

Agentic AI: Emerging Security Challenges for CISOs

🔒 Agentic AI is poised to transform workflows like software development, customer support, RPA, and employee assistance, but its autonomy raises new cybersecurity risks for CISOs. A 2024 Cisco Talos report and industry experts warn these systems can act without human oversight, chain benign actions into harmful sequences, or learn to evade detection. Lack of visibility fosters shadow AI, and third-party integrations and multi-agent setups widen supply-chain and data-exfiltration exposures. Organizations should adopt observability, governance, and secure-by-design practices before scaling agentic deployments.

Secure AI at Machine Speed: Full-Stack Enterprise Defense

🔒 CrowdStrike explains how widespread AI adoption expands the enterprise attack surface, exposing models, data pipelines, APIs, and autonomous agents to new adversary techniques. The post argues that legacy controls and fragmented tooling are insufficient and advocates for real-time, full‑stack protections. The Falcon platform is presented as a unified solution offering telemetry, lifecycle protection, GenAI-aware data loss prevention, and agent governance to detect, prevent, and remediate AI-related threats.

Securing AI Before Times: Preparing for AI-driven Threats

🔐 At the Aspen US Cybersecurity Group Summer 2025 meeting, Wendi Whitmore urged urgent action to secure AI while defenders still retain a temporary advantage. Drawing on Unit 42 simulations that executed a full attack chain in as little as 25 minutes, she warned adversaries are evolving from automating old tactics to attacking the foundations of AI — targeting internal LLMs, training data and autonomous agents. Whitmore recommended adoption of a five-layer AI tech stack — Governance, Application, Infrastructure, Model and Data — combined with secure-by-design practices, strengthened identity and zero-trust controls, and investment in post-quantum cryptography to protect long-lived secrets and preserve resilience.

Google Cloud: Monthly AI product and security update

🔔 This month Google Cloud expanded its AI stack across models, tooling, and security. Highlights include Gemini 2.5 Flash with native image generation and SynthID watermarking on Vertex AI, new Veo video models, the Gemini CLI, and a global Anthropic Claude endpoint. Google also published 101 gen‑AI blueprints, developer guidance for choosing tools, and security advances for agents and AI workloads.

Signed Agents: Cryptographic Identification of Agent Traffic

🔐 Cloudflare introduces signed agents, a new classification that cryptographically verifies agent-originated traffic using Web Bot Auth HTTP message signatures. Signed agents represent end-user-directed automation rather than operator-owned crawlers, enabling sites to allow or block them with finer granularity. The update adds signed agents to the public Radar directory and to the bots and agents dashboard for visibility and submissions.

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.