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F5 Bot Defense uses real-time risk scoring to detect fraud and abuse
F5 enhances Distributed Cloud Bot Defense with persistent device identification, real-time risk scoring, and agent-aware policies to manage AI agent traffic.
F5 announced enhancements to Distributed Cloud Bot Defense adding persistent device identification, real-time device risk scoring, risk-based workflow enforcement, and an agent-aware policy framework integrated with the F5 Application Delivery and Security Platform. The features aim to expose multi-account abuse, credential stuffing, and account takeover while allowing trusted AI agents to transact at machine speed. It targets fraud and abuse detection as agentic AI becomes a key interaction channel for sites, apps, and APIs.
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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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Reflectiz Launches Agentic Pentesting for Websites: Up to 10x Coverage vs Conventional Pentests
Reflectiz launched a multi-agent AI penetration testing platform for websites, claiming up to 10x more coverage than conventional pentests.
Reflectiz, a continuous web exposure management vendor, launched a multi-agent penetration testing platform for websites under a new Offensive Hub. Four specialized agents crawl the site like a real user, fingerprint the stack, run attacks, and independently validate findings to remove false positives. The company claims up to 10x more coverage than conventional pentesting by starting from its pre-existing live model of each site. Findings integrate via REST API, CI/CD triggers and Slack, and the Atlas remediation agent guides fixes.
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Reflectiz Launches Agentic Pentesting for Websites: Up to 10x Coverage vs Conventional Pentests
Reflectiz launched a multi-agent AI penetration testing platform for websites, claiming up to 10x more coverage than conventional pentests by leveraging existing site context.
Reflectiz, a web exposure management vendor, announced an agentic penetration testing product within a new Offensive Hub. The platform uses specialized AI agents for crawling, stack fingerprinting, attack execution, and independent validation, claiming to cover the OWASP Top 10 and reduce false positives. Findings integrate with existing workflows via REST API, CI/CD triggers, and Slack, and an AI remediation agent named Atlas guides fixes. The announcement is a vendor press release with a planned September 15 webinar demo.
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Recorded Future Announces Automated Signature Creation, Accelerating Vulnerability Prioritization
Recorded Future launched Automated Signature Creation in ASI, turning new CVEs into deployable detection signatures in as little as 31 minutes.
Recorded Future announced Automated Signature Creation within its Attack Surface Intelligence product, autonomously generating production-ready detection signatures for newly surfaced vulnerabilities in as little as 31 minutes. The platform correlates an organization's internet-facing assets, live threat activity (malware, ransomware, actor intent), and vulnerability intelligence to prioritize which CVEs warrant detection. The company reports a tenfold increase in in-platform signatures and maps the capability to the four prioritization criteria in CISA's June 2026 directive on risk-based vulnerability mitigation.
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Release Notes: Faster TI Investigations, Fresh Threat Research, and 650+ Threat Coverage Updates
ANY.RUN August release adds TI Lookup connections view, 81 behavior signatures, 16 YARA rules, 559 Suricata rules, and three new threat intelligence reports.
ANY.RUN released August product updates expanding its Threat Intelligence Lookup with a Connections block for pivoting between related observables (domains, IPs, URLs), JSON export for retrohunting and SIEM/NDR integration, and hidden whitelisted data by default. Detection coverage grew with 81 new behavior signatures, 16 YARA rules, and 559 Suricata rules covering malware execution, phishing, and C2 traffic. Three new Threat Intelligence Reports cover a US-focused RMM phishing campaign across 46 countries, the Mirage2FA phishing-as-a-service targeting Microsoft 365 (1,249 sandbox sessions, 9,332 potential compromise events), and a threat brief on OVERLORD RAT, CRPX0, and TRIBACK loader.
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Hottest cybersecurity open-source tools of the month: August 2026
August's open-source security roundup highlights NVIDIA SkillSpector for AI agent skill scanning, Future AGI, Chainloop, PentestGPT, and Hazmat agent containment.
Help Net Security's August 2026 roundup covers five open-source tools: NVIDIA's SkillSpector, a scanner that assesses AI agent skills from directories, zips, SKILL.md files, or Git URLs and returns findings and risk scores; Future AGI, an Apache 2.0 platform for tracing, evaluating, simulating, and guardrailing LLM agents; Chainloop, a software supply chain evidence store that produces signed in-toto attestations in CI pipelines; PentestGPT, an agentic penetration testing framework running recon, exploit, and reporting stages; and Hazmat, which runs AI coding agents like Claude Code and Codex inside a separate machine account for containment.
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Android 17 adds new protections against sneaky Wi-Fi tracking and web snooping
Android 17 adds Encrypted Client Hello, Local Network Protection, default Certificate Transparency and operator-controlled 2G disabling to counter Wi-Fi tracking and snooping.
Google announced network security changes in Android 17, led by broad support for Encrypted Client Hello (ECH), which encrypts domain names visible to network operators and eavesdroppers, paired with GREASE decoys where server support is uneven. Jigsaw testing across the top 10,000 domains and 740 ISPs in 202 countries found connection success and interference levels comparable to ordinary TLS. Android 17 also adds Local Network Protection requiring app permission to scan local devices, Certificate Transparency on by default to catch forged certificates, and operator-side 2G disabling to cut exposure to SMS blaster fake base stations. Apps targeting Android 17 get ECH by default via networking libraries such as OkHttp, WebView and HttpEngine.
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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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Bot detection arrives in CrowdSec 1.8.0, along with two DoS fixes
CrowdSec 1.8.0 adds WAF bot detection via challenges and fingerprinting and fixes denial-of-service flaws in HTTP and Kubernetes audit datasources.
CrowdSec 1.8.0, released August 31, introduces bot detection in its WAF using client challenges and fingerprinting, plus fixes for two denial-of-service vulnerabilities in the HTTP acquisition datasource (unbounded decompressed body size, trusted Content-Length) and the Kubernetes audit webhook datasource (unbounded request body reads). The release also adds a dedicated Kubernetes datasource pulling logs directly from the apiserver, new HTTP helpers for external queries in the expression language, and performance work on the decisions stream endpoint. The challenge requires SSE4.1 and writable-executable memory, so some legitimate visitors may be blocked.
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AWS Console Private Access can block sign-ins to personal accounts
AWS Console Private Access goes GA, letting internet-isolated VPCs reach the console fully over PrivateLink and blocking personal account sign-ins.
AWS Console Private Access became generally available on August 28, allowing the AWS Management Console, sign-in flows, static assets, and console-only APIs to run entirely over PrivateLink endpoints from VPCs with no internet connectivity. Deployment requires three interface endpoints per Region, correct Private DNS and security group settings, and uses aws:PrincipalOrgID policies plus sign-in resource control policies to deny authentication from unexpected networks, which blocks corporate-network users from signing into personal AWS accounts. IAM Identity Center sign-in and consoles for services without PrivateLink support still need internet access, and a misconfigured policy can lock out the whole organization, so AWS recommends an excluded break-glass role; CLI and SDK SigV4 requests bypass these policies and serve as a recovery path.
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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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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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Have it both ways: stay discoverable in search while disallowing AI training
Cloudflare launches Disallow AI Training setting letting sites block AI training via robots.txt while staying indexed in search; Apple, Google, and Microsoft honor it.
Cloudflare announced a 'Disallow AI Training' setting that publishes a no-training preference in robots.txt so sites can block AI training (including by mixed-use crawlers) without losing search indexing. Apple, Google, and Microsoft meet Cloudflare's new 'Accountable' designation, which requires training/summary opt-out mechanisms, URL-level training visibility, and assurance that opt-outs don't affect search rankings. Cloudflare cites that under 1% of its sites block search bots while 17% block AI training, and its Block settings now apply to mixed-use crawlers as well. Granular controls over how much content appears in AI summaries are planned for early next year.
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