Meta added stronger two-step verification and unknown-caller context features to WhatsApp to harden user account security against takeovers.
Meta announced new account security features for WhatsApp, including stronger two-step verification options. The rollout also adds additional context for calls from unknown callers. The features are designed to reduce account takeover risk and improve user confidence in call-based communication.
Meta strengthens WhatsApp account security with alphanumeric two-step verification passwords, unknown-caller context on Android, and multiple passkeys per account.
Meta upgraded WhatsApp's two-step verification from a six-digit PIN to a longer alphanumeric password that can include special characters. On Android, calls from unsaved numbers now show context such as whether the number is registered in another country or shares groups with the recipient, countering scam urgency. More than one billion users have set up passkeys, and users can now register multiple passkeys on one account across mixed platforms.
Filigran introduces Attack Chaining in OpenAEV to continuously simulate multi-stage attack paths, exposing gaps that isolated MITRE ATT&CK technique testing misses.
Filigran announced Attack Chaining, a new scenario type in its OpenAEV platform that links individual techniques into automated, continuously-run multi-stage attack paths, using each step's real output (credentials, tokens, open ports) to branch dynamically toward a final objective. The article cites Filigran's State of Threat Management report, in which 93% of security leaders reported a business-impacting cyberattack in the past 12 months, 88% said AI accelerates attackers, and 84% blamed siloed tools and disconnected testing. The 2025 DGFiP breach is cited as an example where individually survivable weaknesses chained into a major intrusion. The feature includes conditional chaining logic, live attack path mapping, structured findings for identifying chokepoints, and predefined scope and safety guardrails.
Seemplicity launched Response Options, giving vulnerability teams compensating controls and targeted changes instead of waiting on full remediation cycles.
Response Options presents multiple remediation paths per vulnerability finding, including compensating controls and targeted configuration changes alongside full patches. Each option carries a Readiness Indicator showing whether it can deploy immediately or needs review, while AI Analysts pre-select a recommended option with visible reasoning. The capability is available now to all Seeplicity customers and targets shrinking the time from disclosure to exploitation.
DeepZero, a new open-source engine, automates discovery of exploitable Windows kernel drivers for BYOVD attacks using Ghidra, Semgrep, and an LLM.
DeepZero is a free, open-source Python pipeline orchestrator that automates hunting for exploitable Windows kernel drivers relevant to BYOVD (bring your own vulnerable driver) attacks. Its seven-stage YAML pipeline parses PE headers, filters for kernel-mode drivers with IOCTL surfaces, excludes drivers listed on loldrivers.io, then runs headless Ghidra decompilation, Semgrep scanning, and an LLM-based exploitability assessment. The maintainer reports multiple verified vulnerabilities in the Snappy Driver Installer corpus, some still in the disclosure process, and notes findings involving plug-and-play-created device objects may need physical hardware to confirm.
Proofpoint launched its SOC Analyst Agent in private preview, using OpenAI Daybreak models to automate security investigations with human-controlled remediation, GA expected end of Q3 2026.
The SOC Analyst Agent uses OpenAI Daybreak cyber models to enable natural-language investigations across Proofpoint alerts, logs, DLP events and user risk signals, and to automate recurring threat hunts, data security investigations and escalation reporting. It is currently in private preview with general availability expected by the end of Q3 2026, and it does not independently make account changes or take remediation actions. Proofpoint joined the OpenAI Daybreak Defense Network in June 2026 and is exploring additional uses for the models in threat research, data security and AI security workflows.
WordPress will automatically scan every plugin release and block high-risk updates from distribution using AI analysis plus Jetpack Scan.
WordPress announced automated security reviews for every plugin release during its cooldown period before distribution through the WordPress.org update API, combining AI models with Jetpack Scan into a security score. The system already caught a backdoor committed to a plugin with about 20,000 active installations on July 28, 2026, blocking it within 26 minutes of a Wordfence alert. Flagged patterns include missing capability checks, unsafe $wpdb queries, unserialize() on request data, and obfuscated code.
Securin launches the AI-native Securin Platform unifying exposure management, attack surface discovery, offensive validation and remediation to prove attack paths are closed.
Securin announced general availability of the Securin Platform, an AI-native preemptive exposure management product combining attack surface discovery, vulnerability and threat intelligence, prioritization, offensive validation and remediation verification in one workflow. It includes modules Surface, Signals, Exposure, Validate and Assure, orchestrated by the VERA multi-agent AI framework, and aims to verify whether real attack paths are closed rather than ranking findings by severity alone.
Cyble upgraded Executive Monitoring in Cyble Vision, unifying impersonation, exposure, and mention findings with AI scoring and multi-channel alerting.
Cyble released a major upgrade to Executive Monitoring within its Cyble Vision platform, consolidating Mentions, Impersonations, Exposures, and a new Surface Mentions source (blog and news coverage) into a single findings stream. The release adds AI-generated verdicts and recommendations, per-executive Risk and Reputation scoring for board reporting, and richer onboarding with aliases, reference images, and addresses to cut same-name false positives. Alerting now supports data residency, bulk import, delivery via email, WhatsApp, and SMS, an Access API, and branded executive PDF reports; the upgrade is live with no customer action required.
WordPress.org now automatically security-reviews every plugin release and blocks high-risk updates before distribution to millions of sites.
The WordPress Official Plugin Repository Team launched an automated security review that scores each plugin and theme release during a six-hour cooldown, combining analysis from several AI models and Jetpack Scan, and automatically blocks releases deemed high risk. The change followed a July 28 detection of a backdoor committed to a release of a plugin with roughly 20,000 active installations; the release was withheld and the plugin closed for downloads 26 minutes after Wordfence notified the team. Blocked authors must fix findings and publish a new release scoring below the blocking threshold, or appeal to the Plugins Team.
Wazuh details AI-powered SOC workflows via its AI Analyst, self-hosted Llama 3 via Ollama, and Claude 3.5 Haiku integrations.
Wazuh outlines how AI can augment SOC analysts handling high alert volumes. The Wazuh AI Analyst on Wazuh Cloud uses Amazon Bedrock and Anthropic Claude to generate scheduled security posture reports. Self-hosted options include Llama 3 with Ollama, FAISS, and LangChain for privacy-sensitive threat hunting, plus an OpenSearch Assistant integration with Claude 3.5 Haiku. This is a vendor-contributed piece describing product capabilities rather than an incident or vulnerability.
Meta now allows multiple passkeys per WhatsApp account and upgraded two-step verification to full passwords, hardening sign-in for more than 1 billion users.
Meta announced support for multiple passkeys on a single WhatsApp account for iOS and Android, noting more than 1 billion people already use a passkey to log in. WhatsApp also upgraded two-step verification from a six-digit PIN to a full alphanumeric password and added Android call context such as origin location, contact status, and shared groups. The features aim to harden account sign-in against phishing and one-time passcode interception and to counter caller scams relying on urgency.
Cloudflare's 1.1.1.1 resolver now validates post-quantum DNSSEC signatures using ML-DSA-44, a 2,420-byte NIST algorithm, preparing DNS for post-quantum migration by 2029.
Cloudflare enabled 1.1.1.1 to validate DNSSEC signatures using ML-DSA-44 (algorithm 18), a NIST-standardized post-quantum signature with 1,312-byte public keys and 2,420-byte signatures, roughly 38x larger than ECDSA P-256. The large signatures exceed common DNS-over-UDP limits, forcing fallback to TCP and creating downgrade risks while conventional algorithms must be published alongside. Cloudflare cites the risk of a quantum computer breaking RSA/ECDSA signatures by 2030 and plans full post-quantum security by 2029.
Google launches the Fairwind Program giving governments and enterprises access to Gemini 3.8 Flash Cyber and CodeMender for autonomous vulnerability discovery and patching.
Google announced the Fairwind Program, a limited-access offering bringing its cyber defense capabilities to government agencies, critical infrastructure operators, and trusted partners, with more than 650 participating organizations. It combines the Gemini 3.8 Flash Cyber model with the CodeMender harness to autonomously find, verify, and fix vulnerabilities, generating deployment-ready patches in minutes inside customers' cloud environments. Google also raised its total cybersecurity funding commitment above $100 million, including $36 million granted to 35 US cyber clinics supporting hospitals, school districts, and municipal utilities.
ANY.RUN promotes its Threat Intelligence platform for turning scattered malware and phishing indicators into proactive enterprise threat hunting workflows.
ANY.RUN published a vendor blog post describing how its Threat Intelligence product helps analysts consolidate endless alerts, indicators, behavioral evidence and infrastructure context. The post frames threat intelligence as a way to move from raw data collection to proactive protection against malware and phishing. No new threat activity, malware family or vulnerability is disclosed.
Tenable and OpenAI launch the CyberAgents Exchange AI Inspector to security-review community-submitted AI agents, MCP servers, and skills using GPT Cyber models.
Tenable and OpenAI announced the CyberAgents Exchange AI Inspector, unveiled at OpenAI's "Intelligence at Work: Cyber Summit," to vet community-submitted AI agents, skills, MCP servers, and multi-agent playbooks in the CyberAgents Exchange registry. The process combines Tenable One AI Exposure scanning, OpenAI GPT Cyber model assessment, and human review, with reviews anchored to specific Git commits. The registry launched in August and hosts over 100 AI listings; the Inspector is expected to be available in September and has already detected prompt injection implemented via invisible Unicode tag characters in a SKILL.md file.
Intezer launched Workflows, native response automation inside its AI SOC, letting teams automate remediation without a separate SOAR platform.
Intezer announced Workflows, a native automation and response builder inside its AI SOC platform that lets security teams run post-investigation actions such as closing alerts, isolating hosts, and updating tickets without a separate SOAR. Workflows are created through natural language via MCP, inherit full investigation context, and are logged for audit, with per-tenant routing and customer communications aimed at MSSPs. The announcement cites Intezer's AI SOC Report 2026 finding that nearly 1% of real incidents trace back to lowest-severity alerts.
A SANS ISC guest diary describes batch.py, a Python tool that consolidates honeypot logs and enriches IOCs with threat intelligence data.
Written by a SANS.edu BACS intern, the diary explains analysis of the DShield Honeypot-Omaha sensor, which uses Cowrie to emulate SSH and Telnet and log attacker activity. The author's batch.py script implements a four-phase pipeline with SHA-256-generated master and guest authentication to consolidate JSON and log files, correlate data via external APIs, and produce MITRE, CVE, geolocation, threat-score and fingerprint enrichment for investigated indicators.
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.