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Tag: context

Detectify brings AppSec automation to AI agents with MCP Server and continuous testing

Detectify has unveiled the Detectify MCP (Model Context Protocol) Server, a new integration layer that brings Detectify’s security testing engines directly into AI-driven development workflows, helping coding agents find and validate exploitable vulnerabilities and interpret attack surface data with greater precision. As organizations increasingly rely on AI agents to write, refactor, and modernize code, software…

Versa extends zero trust principles to AI agents and MCP workflows

Versa has introduced a patent-pending zero trust architecture for the Model Context Protocol (MCP), applying zero trust principles to AI execution. The company said every AI-generated action is validated against user identity, role-based access controls, and system policies before execution, with human approval required when defined by administrators. The launch addresses a growing challenge as…

Trust3 AI focuses on AI agent risks with MCP Security layer

Trust3 AI has announced the launch of Model Context Protocol (MCP) Security, establishing a new standard for safeguarding enterprise agentic AI workloads. This solution forms a key capability within Trust3 AI’s enterprise agent control plane, empowering security and governance teams with a unified trust layer to seamlessly and safely connect AI agents with vital business…

New SOC-Ready Reporting for Faster Triage, Escalation, and Incident Response with ANY.RUN 

Successful SOC operations require more than accurate detections. Instant access to context, clear conclusions, and operationally relevant insights allow incidents to move across workflows without delays:  During alert triage, analysts need a quick threat overview to decide on the next steps.  Efficient incident response decisions demand clear, actionable context to rely on.  Swift incident reporting requires cross-tier visibility without the need for manual processing of raw technical data.  Making ANY.RUN’s Interactive Sandbox a part of your…

Extending Security to MCP Servers: Closing a Critical Gap

The Model Context Protocol (MCP) is a de facto standard for providing structured access to privileged systems for AI agents and external integrations. It acts as a USB-C port for AI, enabling faster innovation by allowing organizations to expose tools, resources, and workflows without the time-consuming work of building APIs.  Adoption has surged in recent…

Your CTEM program is probably ignoring MCP. Here’s how to fix it

Model Context Protocol (MCP) is the connective tissue of modern AI tooling and has quietly become one of the most significant blind spots in modern security programs. Like shadow IT before it, shadow AI — especially as it relates to MCP risk — introduces a new class of exposures that security teams lack adequate tooling…

IP Fabric MCP server adds governance and control to enterprise AIOps workflows

IP Fabric has launched a new Model Context Protocol (MCP) server that removes key barriers to enterprise AIOps adoption, combining secure in-platform deployment with a built-in prompt library for network operations. While MCP servers and AI integrations are increasingly common, most fall short in enterprise environments where security, control and trusted data are non-negotiable. IP…

Aqua Compass MCP server enables real-time investigation and containment of runtime threats

Aqua Security has announced Aqua Compass, a Model Context Protocol (MCP) server that enables agentic investigation, containment and remediation of runtime incidents, and new runtime risk dashboards. These capabilities help security teams move beyond identifying risk and focus on containing threats in running applications. The announcement builds on Aqua’s Secure AI capabilities, extending the company’s…

Anthropic MCP Design Vulnerability Enables RCE, Threatening AI Supply Chain

Cybersecurity researchers have discovered a critical “by design” weakness in the Model Context Protocol’s (MCP) architecture that could pave the way for remote code execution and have a cascading effect on the artificial intelligence (AI) supply chain. “This flaw enables Arbitrary Command Execution (RCE) on any system running a vulnerable MCP implementation, granting attackers direct…

RCE by design: MCP architectural choice haunts AI agent ecosystem

AI agent building tools enable users to configure Model Context Protocol (MCP) servers may be exposing systems to remote code execution due to an architectural decision in Anthropic’s reference implementation. At issue are unsafe defaults in how MCP configuration works over the STDIO interface, with broad implications for the agent ecosystem, according to a new…

Secure AI agent access patterns to AWS resources using Model Context Protocol

AI agents and coding assistants interact with AWS resources through the Model Context Protocol (MCP). Unlike traditional applications with deterministic code paths, agents reason dynamically, choosing different tools or accessing different data depending on context. You must assume an agent can do anything within its granted entitlements, whether OAuth scopes, API keys, or AWS Identity…

Google’s TurboQuant cuts AI memory use without losing accuracy

Large language models carry a persistent scaling problem. As context windows grow, the memory required to store key-value (KV) caches expands proportionally, consuming GPU memory and slowing inference. A team at Google Research has developed three compression algorithms: TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss (QJL). All three are designed to compress those caches aggressively without degrading…

Fingerprint’s MCP Server turns device intelligence into real-time AI-powered fraud insights

Fingerprint has announced the launch of its Model Context Protocol (MCP) Server, an open-source MCP implementation for the fraud prevention space. The new server enables organizations to connect any AI assistant or agent directly to Fingerprint’s device intelligence platform, turning fraud analysis into real-time, AI-powered insights. The Fingerprint MCP Server uses a standard open protocol…

RecordPoint MCP Server standardizes and secures AI access to compliant data

RecordPoint has unveiled its model context protocol (MCP) server, giving enterprises a secure, standardized way to expose governed data to external AI agents and platforms. The RecordPoint MCP Server allows any AI system, copilot, agent, or custom LLM app to safely access governed, compliant data from the RecordPoint platform without custom integrations or elevated permissions.…

AI Agents: The Next Wave Identity Dark Matter – Powerful, Invisible, and Unmanaged

The Rise of MCPs in the Enterprise The Model Context Protocol (MCP) is quickly becoming a practical way to push LLMs from “chat” into real work. By providing structured access to applications, APIs, and data, MCP enables prompt-driven AI agents that can retrieve information, take action, and automate end-to-end business workflows across the enterprise. This…

OpenAI launches stateful AI on AWS, signaling a control plane power shift

Stateless AI, in which a model offers one-off answers without context from previous sessions, can be helpful in the short-term but lacking for more complex, multi-step scenarios. To overcome these limitations, OpenAI is introducing what it is calling, naturally, “stateful AI.” The company has announced that it will soon offer a stateful runtime environment in…

ANY.RUN & Splunk Enterprise: Stronger Detection, Faster Response in Your SOC

Security teams don’t lack alerts, they lack fast, reliable context for decision-making. When threat analysis and intelligence are not an integrated part of the SOC workflow, investigations slow down, MTTR grows, and the risk of missed incidents increases. Adding behavioral analysis and live intelligence directly into SIEM closes this gap, turning monitoring, triage, and response…

Lightrun brings live runtime context to AI site reliability engineering

Lightrun has announced real-time AI SRE built on live, in-line runtime context. This enables AI agents and engineering teams to dynamically generate missing evidence without redeployments, prove root causes with live execution data (“ground truth”), and validate fixes directly in live environments. The mass adoption of AI agents and coding assistants has accelerated code generation,…

Virtana expands MCP Server to bring full-stack enterprise context to AI agents

Virtana announced the latest version of its Model Context Protocol (MCP) Server, bringing full-stack enterprise visibility directly to AI agents and LLMs so machines can understand enterprise operations as complete systems rather than isolated signals. Opening the Virtana platform to a broad ecosystem of AI agents, automation systems, and large language models (LLMs), such as…

Kong launches Context Mesh to turn enterprise APIs into agent-ready tools

Kong has announced Kong Context Mesh, a product that automatically discovers enterprise APIs, transforms them into agent-consumable tools, and deploys them with runtime governance. “Organisations have spent years building APIs as the nervous system of the enterprise. Context Mesh allows them to reuse that investment to power agents instead of starting from scratch,” said Marco…