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How Cloudflare detects MCP traffic and helps secure it
Cloudflare Gateway now detects Model Context Protocol traffic via protocol-level heuristics to expose shadow MCP usage and enforce approved-server access.
Cloudflare Gateway identifies Model Context Protocol (MCP) requests using protocol-level heuristics. Security teams can use the signal to discover shadow MCP traffic on managed networks, enforce Portal-only access for approved MCP servers, and block direct connections. The updates extend standard gateway and zero-trust controls to AI agent traffic.
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Rubrik MCP gives AI agents controlled access to security intelligence
Rubrik launched MCP support exposing Rubrik Security Cloud APIs to enterprise AI agents with RBAC, configurable permissions, and OWASP MCP Top 10 guardrails.
Rubrik announced Rubrik MCP (Model Context Protocol), giving organizations' AI agents a secure, programmable path to Rubrik's data, identity, and application intelligence via the Rubrik Security Cloud API schema. Teams can save multi-step recovery or compliance workflows as reusable, deterministic tools, with role-based access control parity and OWASP MCP Top 10 aligned guardrails. Rubrik engineered its agent architecture with Anthropic's teams for multi-step reasoning in incident response, and says Rubrik AI is now trusted by one-third of its global customers.
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Credentialed Pre-Port Discovery: Don't Probe the Host, Ask it
Rapid7's version 8.58 adds credentialed pre-port discovery, letting scan engines query hosts for listening TCP/UDP ports instead of network probing.
Rapid7 documents credentialed pre-port discovery, available from version 8.58 as an off-by-default per-template option under Asset Discovery. The scan engine authenticates with existing SSH, Scan Assistant, or Windows credentials and receives the host's authoritative list of listening TCP and UDP ports, skipping the network port scan. Hosts without matching credentials silently fall back to network port scanning. Trade-offs include reporting firewall-blocked ports the engine cannot reach, longer scans, and early termination findings caused by repeated connection failures.
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ANY.RUN & SentinelOne: One Workspace, Instant Context for Rapid Response
ANY.RUN integrates its interactive sandbox, IOC lookups, and STIX/TAXII threat feeds natively into SentinelOne for faster automated malware triage.
ANY.RUN and SentinelOne launched connectors that embed interactive sandbox analysis and threat intelligence into the SentinelOne console via Singularity Hyperautomation. Suspicious files and URLs from alerts are automatically submitted to the ANY.RUN sandbox, with behavioral verdicts and risk scores returned into alert notes. On-demand IOC lookups draw on sandbox history from 16,000 organizations and 700,000 analysts. A separate STIX/TAXII feed streams verified malicious IPs, domains, and URLs through the SentinelOne Marketplace TAXII Connect app.
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Bitsight connects threat intelligence and exposure monitoring across the supply chain
Bitsight made Beacon generally available, combining supply-chain exposure monitoring with MCP support to feed threat intelligence into AI workflows.
Bitsight announced general availability of Beacon, which continuously monitors critical vendors for exposure, vulnerabilities, malicious activity, intrusion, stolen credentials and compromise. New Model Context Protocol (MCP) and agentic capabilities push Bitsight intelligence into AI-enabled workflows, with over 400 customers signing up for early access in one month. The company cites data that third parties now account for almost half of enterprise breaches, up over 60% year over year.
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Mars Security brings threat intelligence to detection in real time
Mars Security launched Real-Time Intel-Based Detection, converting advisories from CISA and Mandiant into backtested MITRE ATT&CK-mapped detection rules for CrowdStrike, Wiz, and Splunk.
Mars Security announced a capability that automatically turns newly published threat intelligence from sources like CISA, Mandiant, Unit 42, and Microsoft into MITRE ATT&CK-mapped detection rules. Each rule is written in the native query language of the customer's telemetry (CrowdStrike Falcon, Wiz, Splunk, firewalls, identity providers, AWS, Snowflake, Databricks) and backtested against 30 days of the customer's data before deployment, with indicator scoring to drop noisy or stale indicators. The platform also maps existing detection coverage, flags gaps such as AWS CloudTrail tampering and pass-the-hash movement, and delivers some recommendations as open pull requests for detection-as-code workflows.
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Mars Security Launches Real-Time Intel-to-Detection Engine That Turns Live Threat Intelligence Into Backtested Detections in Minutes
Mars Security launched Real-Time Intel-Based Detection, converting advisories into MITRE ATT&CK-mapped, backtested detection rules for CrowdStrike, Wiz, and Splunk within minutes.
The capability turns newly published threat intelligence from CISA, Mandiant, Unit 42, and Microsoft Threat Intelligence into validated detection rules within minutes, each backtested against 30 days of the customer's own telemetry before deployment. Rules are written in native query languages across CrowdStrike Falcon, Wiz, Splunk, firewalls, Linux Sysmon, identity providers, AWS telemetry, and data lakes such as Snowflake and Databricks, with no data ingestion or stack changes. The feature is available at no additional cost to existing customers and on AWS Marketplace. Mars also flags detection coverage gaps and extends monitoring to credentials leaked by AI coding agents.
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Investing Together: Wiz Defend and Google Security Operations
Wiz ships a Content Pack for Google Security Operations enabling shared investigations, Blue Agent AI analysis, bidirectional sync and cloud telemetry streaming.
Wiz announced deeper integration between Wiz Defend and Google Security Operations via a shared data model and an official Wiz Content Pack with out-of-the-box rules, dashboards, search queries, playbooks, and response policies. Wiz Blue Agent AI-powered threat investigations, correlating cloud context, runtime signals, and identity data, are now accessible directly within Google SecOps. Status, severity, and comments bidirectionally sync in real time, and sensor runtime events can be streamed into Google SecOps for hunting and retention.
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Scytale expands vendor risk management with AI-powered TPRM tools
Scytale launched AI-powered third-party risk management in its Vendors module, automating vendor discovery, risk scoring, and continuous vendor posture monitoring.
Scytale added AI-driven TPRM capabilities to its Vendors module, combining automatic vendor discovery from SSO providers and integrations with AI enrichment and dynamic risk scoring. The platform now continuously monitors vendors for breaches, data exposures, and vulnerabilities via third-party intelligence APIs, with proactive email notifications and auto-generated audit-ready security reports. It integrates with cross-framework control mapping for SOC 2, ISO 27001, GDPR, HIPAA, and SOX ITGC. Scytale cites Verizon's 2026 DBIR, which found 48% of breaches involved a third party, up 60% year over year.
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Can AI make threat intelligence easier? One platform thinks so
Feedly positions its AI-driven Threat Intelligence platform to cut CTI collection time, scanning 10,000+ sources with 1,000 AI models and reporting 70% time savings.
A profile of Feedly Threat Intelligence describes how CTI teams such as RH-ISAC reduced threat data collection from 10 hours weekly to 2-3 hours after adoption. The platform scans over 10,000 open web sources using 1,000 AI models to extract TTPs, CVEs and IoCs into a real-time Threat Graph queryable via an Ask AI LLM with source citations. Customers including GreyNoise, Sopra Steria, gematik and GISA reported measurable gains such as 20 hours saved daily and earlier vulnerability flagging than CISA 65% of the time. The product integrates with Anomali ThreatStream, Cortex XSOAR, Microsoft Sentinel and OpenCTI, plus a REST API and GitHub scripts.
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OpenAI Builds ‘Defense Factory’ Where AI Agents Continuously Find and Fix Vulnerabilities
OpenAI unveils a Defense Factory where AI agents continuously discover, validate, and fix vulnerabilities, integrating GitHub, Snyk, Semgrep, Tenable, and ServiceNow.
OpenAI introduced a Defense Factory, an agent-first cybersecurity operation that connects AI agents to developer and security tools via APIs, CLIs, and Model Context Protocol integrations including GitHub, GitLab, Snyk, Semgrep, Tenable, Jira, Linear, and ServiceNow. During an internal security sprint, over 250 people across more than 100 service areas closed 53 urgent or high-priority issues on day one, achieved a 90.6% accepted ownership-assignment rate, and Codex generated all remediation patches with only 0.53% rolled back. Agent-assisted deduplication flagged 37% of findings as duplicates, and runtime validation reproduced 19.5% of findings, cutting the false-positive rate to 0.81%. OpenAI argues defenders must exploit a temporary 'defender's window' using source-code access and frontier models before open-weight models enable autonomous offensive agent fleets.
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Akeyless adds real-time enforcement for AI agents in production
Akeyless launches Agentic Runtime Authority, enforcing real-time intent-based access control on AI agent actions, with integrations for Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore
Akeyless announced general availability of Agentic Runtime Authority, a real-time identity control layer that evaluates AI agent actions and blocks policy-violating actions before execution, layered on top of its SecretlessAI credential brokering. New integrations cover Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore, alongside an Agentic Access Dashboard with session kill switches and event forwarding to Splunk, Datadog and Microsoft Sentinel. The vendor's platform already secures over 220 billion machine identity interactions for Fortune 500 organizations.
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Claude Mythos 5 is coming to Tenable One, powering the new “Adversary View”
Tenable will integrate Anthropic's Claude Mythos 5 into Tenable One, launching Adversary View to surface exploitable vulnerability chains from scan data.
Tenable announced it is bringing Anthropic's Claude Mythos 5 into the Tenable One Exposure Management Platform, extending its Project Glasswing research work with Anthropic. The first capability, Tenable One Adversary View, will use the model's adversarial reasoning over raw scanner evidence, plugin output, live connections and low-confidence signals to identify viable vulnerability chains and ranked defensive actions. Customers will act on results through Tenable Hexa AI. Availability details for Adversary View are expected in the coming weeks; no customer deployment exists yet.
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Cohesity adds recovery capabilities for AI agents and the data they manage
Cohesity launched Agent Resilience to discover, protect, and recover AI agent memory, configuration, and agent-managed data, debuting with Amazon Bedrock integration.
At Cohesity Catalyst, Cohesity introduced Agent Resilience within Cohesity Data Cloud, protecting AI agent memory and configuration with snapshot architecture, immutable backups, and clean-room recovery, plus recovery for databases and file systems that agents manage. It launches with Amazon Bedrock integration, support for Microsoft and Google platforms planned, and general availability targeted for year-end. The company cited Gartner's prediction that up to 40% of enterprise applications will include task-specific agents by 2026, and Cohesity research showing 56% of organizations are unprepared to detect or contain unintended agent actions while 58% lack confidence in verifying AI model integrity after attacks. Cohesity also outlined an Autonomous Cyber Resilience vision using agentic workflows and introduced the AI Resilience Academy.
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Product showcase: Doppler secures secrets for humans, pipelines, and AI agents
Doppler's secrets management platform centralizes credentials for engineers, CI/CD pipelines, MCP servers, and AI agents with runtime injection and dynamic secrets.
Doppler stores API keys, database URLs, tokens, and certificates in a single control plane and injects them at runtime, replacing .env files for human and machine identities including AI agents. It supports OIDC with short-lived identity tokens for Azure, AWS, and GCP, dynamic secrets scoped and time-boxed to single sessions, SCIM provisioning, 50+ integrations, and an MCP server that lets agents request configurations natively. Permissions are enforced at each layer so raw secrets stay out of logs, prompts, and model context, with versioning, rollback, SIEM log forwarding, and cloud or on-prem deployment.
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LastPass enhancements improve visibility, governance, and control
LastPass releases SaaS monitoring enhancements, Mobile Smart Scanner, and auto-enrolled dark web monitoring across its password management products.
LastPass announced enhancements to SaaS Monitoring and SaaS Protect in its Business Max offering, including Persistent Monitoring that keeps visibility active through the browser extension even when users are signed out, fully released as of July. It launched Mobile Smart Scanner to convert printed, handwritten, or screenshot passwords into vault credentials, and began phasing in automatic enrollment of all consumer accounts in dark web monitoring. The company also completed its transition to a Unified Admin Console, added company-wide onboarding links, and passed SOC 2 and ISO 27001/27701 audits with zero findings for the second consecutive year.
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Mars Security Debuts Automated Threat Engine Processing Live Cyber Intelligence Into Validated Rules Within Minutes
Mars Security launches Real-Time Intel-Based Detection, converting threat intelligence advisories into validated, ATT&CK-mapped detection rules within minutes for SOCs.
Mars Security, an autonomous threat hunting and detection engineering platform founded by former offensive security operators, announced Real-Time Intel-Based Detection. The capability ingests advisories from sources like CISA, Mandiant, Unit 42, and Microsoft Threat Intelligence, maps indicators to MITRE ATT&CK, and authors native query logic across connected infrastructure including CrowdStrike Falcon, Wiz, Splunk, Sysmon, identity providers, Snowflake, and Databricks. Every rule is backtested against 30 days of historical telemetry to quantify false positives before analyst approval and one-click deployment. The feature is free for existing customers and available via AWS Marketplace.
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