The title of my substack piece: “AI Detection, Part 2: Can a thief recognise a thief?” above the logo of a company called ‘Undercover AI’.

5. Thus, Can AI detect if something is written by AI? Here’s my experience:

jetse.substack.com/p/ai-detecti...

#AI #slop #detection #writing #publishing

4. Of cours, authors can test their AI-revised text in AI detection tools, and then revise it again (some tools offer that as a—paid—service). It seems more work than outright writing it yourself, then again, some people are crazy.

#AI #slop #detection #writing #publishing

‘Soon publishers won’t stand a chance’: literary world in struggle to detect AI-written books US release of horror novel Shy Girl cancelled and UK book discontinued after suspected AI use, as publishers feel ‘cold shiver’

2. And just before I’m ready to launch part 2 of my AI detextion essay, the Guardian checks in:

www.theguardian.com/technology/2...

#AI #slop #detection #writing #publishing

AI Detection, Part 1 Can an AI detect the real thing?

1. ICYMI, yesterday I posted this:

jetse.substack.com/p/ai-detecto...

#AI #slop #detection #writing #publishing

From Logs to Context: Why Your SOC Detection Needs a Real-Time Context and Control Layer In the traditional pipeline, every step after ingestion is retroactive. The SIEM owns the data, and all analysis depends on querying stored records. Alternatively, the new architecture inserts a real-...

The reality of most #SOC pipelines: #Detection happens after ingestion & storage. By the time you query logs in your #SIEM, the attack is already underway.

💡 In our CEO Ting Wang's latest blog, we explore why you need a #realtime context & control layer.

www.timeplus.com/post/from-lo...

White text on a dark blue background reads, “UK deepfake detection report forecasts continued growth for sector”. Underneath, Biometric Update is listed as the source.

“UK deepfake detection report forecasts continued growth for sector” — Biometric Update

#DeepfakeNews #Detection #Deepfakes

White text on a dark blue background reads, “Securonix Highlights Targeted Phishing Research to Underscore Advanced Threat Detection Focus”. Underneath, TipRanks is listed as the source.

“Securonix Highlights Targeted Phishing Research to Underscore Advanced Threat Detection Focus” — TipRanks

#PhishingNews #Phishing #Detection

Timeplus Webinar | Build Real-Time Security Context & Control to Detect Threats Before SIEM In our March webinar hosted by our Co-Founders Ting Wang (CEO) and Gang Tao (CTO), we’ll break down how a real-time security context and control layer actually works, and why it’s the missing piece in...

AI era attacks happen at machine scale & speed. #Detection fails not because of logic, but because context arrives too late.

Our Co-Founders Ting Wang & @gangtao.bsky.social share how a #realtime security context & control layer is the missing piece.

🎟️ Webinar: www.timeplus.com/webinar-logs...

Original post on biometricupdate.com

​Jumio approved for biometric KYC in Malaysia with successful independent assessment Jumio has completed the Malaysian central bank’s (Bank Negara Malaysia) independent eKYC Breakthrough Assess...

#Biometrics #News #Financial #Services #Liveness […]

[Original post on biometricupdate.com]

Poirot spells out the danger in this Jack Faulks illustration for 'Triangle At Rhodes' in the May 1936 edition of 'The Strand Magazine'.
#AgathaChristie #Poirot #detection #vintagecrime
@flackjd.bsky.social @greatdetective.bsky.social @collectchristie.bsky.social

The correlation layer needs an uplift.

#detection, #engineering, #dataanalytics

Original post on biometricupdate.com

Oz Forensics passes Level 3 biometric PAD evaluation by BixeLab with no errors Oz Forensics has passed a Level 3 evaluation of its face biometric Presentation Attack Detection (PAD) technology base...

#Biometric #R&D #Biometrics #News #Liveness […]

[Original post on biometricupdate.com]

White text on a dark blue background reads, “Reality Defender Targets Enterprise Demand at RSAC 2026 With Deepfake-Detection Showcase”. Underneath, TipRanks is listed as the source.

“Reality Defender Targets Enterprise Demand at RSAC 2026 With Deepfake-Detection Showcase” — TipRanks

#DeepfakeNews #Deepfakes #Detection

White text on a dark blue background reads, “Reality Defender Targets Enterprise Demand for AI Deepfake Detection at RSAC 2026”. Underneath, TipRanks is listed as the source.

“Reality Defender Targets Enterprise Demand for AI Deepfake Detection at RSAC 2026” — TipRanks

#DeepfakeNews #AI #Detection

Manish (@manishrawat21) A Non-Admin User Executed Malware in Under 1 Second. My SIEM Fired Zero Alerts. Here's the Full Log. 37 real Sysmon events. One complete DLL hijacking attack. This is what it actually looks like. In...

Just uploaded the 2nd Part of DLL Hijacking on #Substack

Where I analyzed real malware logs and discovered why non-admin users can execute code without triggering a single alert.

Link: substack.com/@manishrawat...

#Infosec #Detection #ThreatHunting #Splunk #Cybersecurity

Dropzone AI Launches AI Threat Hunter for Autonomous Threat Hunting _**New AI agent enables security teams to proactively and continuously hunt threats across their entire environment without adding workload**_ Dropzone AI, the leading agentic SOC company, today announced the addition of the AI Threat Hunter, its newest AI agent that enables security teams to proactively search for threats across their environments around the clock. The AI Threat Hunter is the next agent joining the Dropzone’s Agentic SOC team, expanding what AI agents can do across the full spectrum of detection and response. This new capability is designed to work seamlessly alongside SOC analysts, both human and autonomous, expanding security analytical capacity across the SOC, and will be generally available in Summer 2026. Security teams have long recognized the importance of proactive threat hunting; however, thorough hunting requires time, specialized expertise, and investigation across multiple tools. A single hunt can take up to 40 hours of cross-tool investigation, and most security operations centers are forced to prioritize daily alert responses over proactive hunts. As a result, many teams can only conduct threat hunts occasionally, leaving threat hunting limited to the largest and most resourced SOCs. This is where the AI Threat Hunter makes a difference, enabling teams, big or small, to run continuous hunts across their environments while human analysts remain focused on strategy and high-value projects. Key capabilities of the AI Threat Hunter include: * **1-click autonomous hunting across the entire security stack:** Select from 250+ pre-built hunt packs or describe a custom hunting objective and the agent builds one on demand. The agent then spends the next 60-90 minutes performing federated searches across SIEM, EDR, cloud, and identity platforms, processing hundreds of thousands of rows of telemetry from across the environment. * **AI-driven analysis of large security datasets:** The agent iteratively analyzes and filters large telemetry datasets, documenting every filter step and the reasoning behind it, to surface the anomalies that warrant deeper investigation. In one real-world hunt, 464,000 events were reduced to 9 fully investigated findings. * **Automated investigation of suspicious activity:** Each anomaly is investigated across connected security tools (EDR, SIEM, identity providers, IP reputation services) with every evidence source and conclusion documented. The agent conducts multiple investigations in parallel, classifying each finding as urgent, notable, or informational. * **Broad threat hunting coverage:** Ships with 250+ pre-built hunt packs including one for every MITRE ATT&CK technique plus operational packs covering cloud, identity, endpoint, and user behavior anomalies such as OAuth consent grant abuse, unauthorized RMM tools, and legacy MFA gaps as security signals. * **Vendor-agnostic:** Hunt definitions are vendor-agnostic by design: The same pack works across Microsoft Sentinel, Splunk ES, CrowdStrike, and any connected platform without rewriting a single query. * **Actionable security posture insights with every hunt:** Beyond threat detection, every hunt surfaces visibility gaps, detection opportunities, misconfigurations, and policy violations—delivering measurable security improvements even when no active threats are found. “For too long, proactive threat hunting has been limited by manual workflows, fragmented tools, and the cost of doing it even once a day,” said Edward Wu, Founder and CEO of Dropzone AI. “24/7 threat hunting has simply not been realistic for 99% of organizations. Today, LLM-powered software can replicate expert hunting intuition and techniques at scale, allowing our AI Threat Hunter to bring continuous, autonomous expert-level hunting within reach without adding headcount. This is another important step toward the Agentic SOC and for the vast majority of organizations that could never staff a dedicated threat hunter, it makes continuous hunting possible for the first time.” The AI Threat Hunter is built to work in concert with the other agents on the Dropzone AI team. When the AI Threat Intel Analyst detects an emerging threat (a new CVE, a trending threat actor campaign), it automatically builds a hunt pack and hands it directly to the AI Threat Hunter. The result is continuous, autonomous coverage: a zero-day vulnerability surfaces on a Sunday night, and by the time analysts arrive Monday morning, a complete hunt report is already waiting. Every hypothesis, query, filtering, and finding generated during a hunt is logged and auditable, giving teams full visibility into how conclusions are reached. This coordinated workflow helps organizations identify risks earlier and discover threats faster across their entire environment. “Dropzone’s AI Threat Hunter performs federated hunts in 1 hour that would take humans up to 40 hours,” said Dropzone AI customer Andrew Marsh, Director of Information Security of Indiana Farm Bureau Insurance. “Now we can hunt continuously across our environment without pulling analysts away from other priorities.” Dropzone AI recently partnered with Leidos to accelerate the deployment of its AI SOC analysts within U.S. federal security operations centers, making the fully agentic SOC a reality for both the private and public sectors. You can check out Dropzone’s new threat hunting agent in action during the 2026 RSA Conference. Visit The AI Diner, Dropzone AI’s 1950s-themed booth (#455) in the South Expo Hall, where the company’s SOC agents serve fresh alert investigations 24 hours a day. Learn more about this new agent and Dropzone’s presence at RSA: https://www.dropzone.ai/rsa-2026-ai-diner. To learn more about Dropzone AI or to book a demo, please visit: https://www.dropzone.ai/request-a-demo. **Business Wire** Business Wire is a trusted source for news organizations, journalists, investment professionals and regulatory authorities, delivering news directly into editorial systems and leading online news sources via its multi-patented NX Network. Business Wire has 18 newsrooms worldwide to meet the needs of communications professionals and news media. __

Dropzone AI Launches AI Threat Hunter for Autonomous Threat Hunting New AI agent enables security teams to proactively and continuously hunt threats across their entire environment without adding w...

#Threat #Detection

Origin | Interest | Match

Dropzone AI Launches AI Threat Hunter for Autonomous Threat Hunting _**New AI agent enables security teams to proactively and continuously hunt threats across their entire environment without adding workload**_ Dropzone AI, the leading agentic SOC company, today announced the addition of the AI Threat Hunter, its newest AI agent that enables security teams to proactively search for threats across their environments around the clock. The AI Threat Hunter is the next agent joining the Dropzone’s Agentic SOC team, expanding what AI agents can do across the full spectrum of detection and response. This new capability is designed to work seamlessly alongside SOC analysts, both human and autonomous, expanding security analytical capacity across the SOC, and will be generally available in Summer 2026. Security teams have long recognized the importance of proactive threat hunting; however, thorough hunting requires time, specialized expertise, and investigation across multiple tools. A single hunt can take up to 40 hours of cross-tool investigation, and most security operations centers are forced to prioritize daily alert responses over proactive hunts. As a result, many teams can only conduct threat hunts occasionally, leaving threat hunting limited to the largest and most resourced SOCs. This is where the AI Threat Hunter makes a difference, enabling teams, big or small, to run continuous hunts across their environments while human analysts remain focused on strategy and high-value projects. Key capabilities of the AI Threat Hunter include: * **1-click autonomous hunting across the entire security stack:** Select from 250+ pre-built hunt packs or describe a custom hunting objective and the agent builds one on demand. The agent then spends the next 60-90 minutes performing federated searches across SIEM, EDR, cloud, and identity platforms, processing hundreds of thousands of rows of telemetry from across the environment. * **AI-driven analysis of large security datasets:** The agent iteratively analyzes and filters large telemetry datasets, documenting every filter step and the reasoning behind it, to surface the anomalies that warrant deeper investigation. In one real-world hunt, 464,000 events were reduced to 9 fully investigated findings. * **Automated investigation of suspicious activity:** Each anomaly is investigated across connected security tools (EDR, SIEM, identity providers, IP reputation services) with every evidence source and conclusion documented. The agent conducts multiple investigations in parallel, classifying each finding as urgent, notable, or informational. * **Broad threat hunting coverage:** Ships with 250+ pre-built hunt packs including one for every MITRE ATT&CK technique plus operational packs covering cloud, identity, endpoint, and user behavior anomalies such as OAuth consent grant abuse, unauthorized RMM tools, and legacy MFA gaps as security signals. * **Vendor-agnostic:** Hunt definitions are vendor-agnostic by design: The same pack works across Microsoft Sentinel, Splunk ES, CrowdStrike, and any connected platform without rewriting a single query. * **Actionable security posture insights with every hunt:** Beyond threat detection, every hunt surfaces visibility gaps, detection opportunities, misconfigurations, and policy violations—delivering measurable security improvements even when no active threats are found. “For too long, proactive threat hunting has been limited by manual workflows, fragmented tools, and the cost of doing it even once a day,” said Edward Wu, Founder and CEO of Dropzone AI. “24/7 threat hunting has simply not been realistic for 99% of organizations. Today, LLM-powered software can replicate expert hunting intuition and techniques at scale, allowing our AI Threat Hunter to bring continuous, autonomous expert-level hunting within reach without adding headcount. This is another important step toward the Agentic SOC and for the vast majority of organizations that could never staff a dedicated threat hunter, it makes continuous hunting possible for the first time.” The AI Threat Hunter is built to work in concert with the other agents on the Dropzone AI team. When the AI Threat Intel Analyst detects an emerging threat (a new CVE, a trending threat actor campaign), it automatically builds a hunt pack and hands it directly to the AI Threat Hunter. The result is continuous, autonomous coverage: a zero-day vulnerability surfaces on a Sunday night, and by the time analysts arrive Monday morning, a complete hunt report is already waiting. Every hypothesis, query, filtering, and finding generated during a hunt is logged and auditable, giving teams full visibility into how conclusions are reached. This coordinated workflow helps organizations identify risks earlier and discover threats faster across their entire environment. “Dropzone’s AI Threat Hunter performs federated hunts in 1 hour that would take humans up to 40 hours,” said Dropzone AI customer Andrew Marsh, Director of Information Security of Indiana Farm Bureau Insurance. “Now we can hunt continuously across our environment without pulling analysts away from other priorities.” Dropzone AI recently partnered with Leidos to accelerate the deployment of its AI SOC analysts within U.S. federal security operations centers, making the fully agentic SOC a reality for both the private and public sectors. You can check out Dropzone’s new threat hunting agent in action during the 2026 RSA Conference. Visit The AI Diner, Dropzone AI’s 1950s-themed booth (#455) in the South Expo Hall, where the company’s SOC agents serve fresh alert investigations 24 hours a day. Learn more about this new agent and Dropzone’s presence at RSA: https://www.dropzone.ai/rsa-2026-ai-diner. To learn more about Dropzone AI or to book a demo, please visit: https://www.dropzone.ai/request-a-demo. **Business Wire** Business Wire is a trusted source for news organizations, journalists, investment professionals and regulatory authorities, delivering news directly into editorial systems and leading online news sources via its multi-patented NX Network. Business Wire has 18 newsrooms worldwide to meet the needs of communications professionals and news media. __

Dropzone AI Launches AI Threat Hunter for Autonomous Threat Hunting New AI agent enables security teams to proactively and continuously hunt threats across their entire environment without adding w...

#Threat #Detection #AI #agents #AI #news #ai #tech #news #AI #tech

Origin | Interest | Match

White text on a dark blue background reads, “Alethea Expands Artemis Platform With Deepfake Detection Partnership”. Underneath, TipRanks is listed as the source.

“Alethea Expands Artemis Platform With Deepfake Detection Partnership” — TipRanks

#DeepfakeNews #Detection #Deepfakes

Early #Detection and #Surveillance of the #SARS-CoV-2 #Variant #BA32 — Worldwide, November 2024–February 2026 (US CDC, MMWR, March 19 '26)

Early #Detection and #Surveillance of the #SARS-CoV-2 #Variant #BA32 — Worldwide, November 2024–February 2026 (US CDC, MMWR, March 19 '26), etidiohnew.blogspot.com/2026/03/earl...

Most #CTI programs describe the threat. Few can prove their defenses hold against it.

Nigel Boston wrote the CTI Fusion Playbook for doing exposure validation across #ThreatHunting, #Detection, #RedTeam, and #SOC, with a scoring model and templates included.

feedly.com/ti-essential...

Susan Ledezma will present her work on "Developing Artificial Intelligence Models for Predicting Stress in Cattle Behavior" at the 2026 TXST STEM Conference: From Lab to Landscape: Building a Bigger, Better Texas.

genstem.cose.txst.edu/txst-stem-co...

#ai #yolo #detection #ag #research #txst

Validate User

Recently, a publication by Moe et al. in Clinical Infectious Disease found non-inferiority between tongue swab vs. sputum based molecular testing for TB. #tuberculosis #detection
academic.oup.com/cid/advance-...

Original post on betanews.com

EDR killers -- the key to ransomware operations Ransomware attackers now often rely on using tools to disable endpoint detection and response, known as EDR killers. New research from ESET looks at ...

#Article #cybersecurity #Drivers #endpoint #endpoint […]

[Original post on betanews.com]

White text on a dark blue background reads, “Deepfake detection tools don’t always work. Here’s proof”. Underneath, PCWorld is listed as the source.

“Deepfake detection tools don’t always work. Here’s proof” — PCWorld

#DeepfakeNews #Detection #Deepfakes

GitHub - ohm-raumzeit/itheereum-detector-screen: AI Image, Screenshot, PDF, anything Detector Open Source Project (vormals KI-Bild-Detektor) AI Image, Screenshot, PDF, anything Detector Open Source Project (vormals KI-Bild-Detektor) - ohm-raumzeit/itheereum-detector-screen

Ich habe das Copyright und Urheberrecht auf KI-Detektion, niemand sonst (mehr) auf der Erde! Also auch, wer selbstfahrende Autos und autonome Drohnen haben will, muss mich, Stanislaus Kroppach, kontaktieren und die Erlaubnis für die Nutzungsrechte einholen. #AI #Detection github.com/ohm-raumzeit...

OPSWAT introduces new AI-native decision engine MetaDefender Aether replaces fragmented sandbox, reputation, and threat intelligence lookups with a single unified decision pipeline. The post OPSWAT...

#News #Technology #Vendor #AI-native #decision #engine […]

[Original post on tahawultech.com]

Original post on webpronews.com

The AWS Veterans Who Raised $42 Million to Rethink Cloud Security Before Writing a Line of Marketing Copy Native, a cybersecurity startup founded by former AWS executives, has emerged from stealth ...

#CybersecurityUpdate #andreessen #horowitz #AWS #veterans […]

[Original post on webpronews.com]