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Hackernoon
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LLM Security: A Practical Overview of the Protective Measures Needed
- This article provides a practical overview of the protective measures required for different components when developing robust AI systems.
- While LLM security is relatively new, challenges like prompt injection have surfaced with the increased accessibility of ML models through interfaces and APIs.
- Membership Inference Attacks may not be applicable to LLMs due to massive training datasets and low training Epochs, but other attacks like data and model poisoning are still relevant.
- Establishing a security threat model is essential to determine what aspects of the AI system need protection.
- Various tools, including Garak, have been developed to address vulnerabilities like prompt injection, data leakage, and hallucinations in LLMs.
- It's crucial to be aware of potential security risks when utilizing models like Qwen Coder within agent architectures, as vulnerabilities could lead to significant security breaches.
- Model and data poisoning can result from supply chain vulnerabilities, potentially leading to harmful alterations in model outputs and remote code execution possibilities.
- Verifiable ML models and tools like AI Bill of Materials (AI BOM) aid in ensuring the integrity of models before deployment, contributing to a more secure AI supply chain.
- Being cautious about downloading models from platforms like HuggingFace and verifying datasets and algorithms is essential to mitigate AI supply chain risks.
- Tools like model transparency and AI BOM provide ways to verify model provenance and enhance security measures in AI systems.
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Dataprivacyandsecurityinsider
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Google Releases June Security Bulletin for Android Devices to Fix Vulnerabilities
- Google releases June Android Security Bulletin to address 34 high-severity vulnerabilities.
- The patch is crucial as it fixes a flaw that could lead to local escalation of privilege without additional privileges.
- Android partners are advised to address all issues listed in the bulletin and utilize the latest security patch level.
- Android device owners should verify that their devices have been updated to patch these vulnerabilities promptly.
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TechBullion
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Image Credit: TechBullion
Eunji Gil: The Hidden Architect Behind Microsoft’s Global Phishing Defense Evolution
- Phishing has evolved into a billion-dollar cybersecurity challenge affecting businesses and individuals worldwide.
- Eunji Gil, a Global Cloud Solution Architect at Microsoft, has played a crucial role in enhancing email security practices and preventing sophisticated phishing attacks.
- By optimizing security configurations and response workflows, Gil successfully reduced malicious email exposure by over 90% in some environments.
- Her field-informed innovation approach has not only improved product development at Microsoft but also facilitated global collaboration and strengthened the long-term resilience of the platform.
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Tech Radar
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Fake DocuSign and Gitcode sites are tricking victims into downloading malware - here's what you need to know
- Security researchers have discovered fake DocuSign and Gitcode websites distributing malware through malicious PowerShell scripts.
- The fake websites employ techniques like fake CAPTCHA and social engineering to trick victims into downloading a Trojan onto their systems.
- The malware campaign, attributed to a group called SocGholish, uses multi-stage downloads to avoid detection and installs the NetSupport RAT on infected machines.
- The attackers behind this campaign have been associated with other threat groups, and the malware distribution method is reminiscent of the ClickFix technique used in past malicious activities.
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Socprime
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Image Credit: Socprime
IOC-to-CSQL Detection for Gamaredon Domains
- The feature in Uncoder AI translates threat intelligence into CrowdStrike CSQL for immediate use in Falcon Endpoint Search.
- AI-driven rules are dynamically generated by Uncoder AI, utilizing field mapping and syntax expectations to create effective detection queries.
- Uncoder AI validates queries in real-time for correct syntax, grouping, and use of operators to prevent errors and ensure safe deployment in production.
- By automating query structure and syntax validation, Uncoder AI simplifies the process for detection engineers to identify and validate Gamaredon domains efficiently.
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Socprime
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AI-Validated Hostname Filtering for Chronicle Queries
- Uncoder AI can analyze and validate Chronicle UDM queries involving multiple domain-based conditions.
- The platform automatically identifies the detection logic using field-level comparison on target.hostname.
- Uncoder AI provides real-time, AI-powered validation and optimization for Chronicle queries, reducing manual efforts.
- This feature enables faster detection engineering, higher confidence in query quality, and improved performance readiness for security teams in Google SecOps environments.
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Socprime
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Image Credit: Socprime
AI-Assisted Domain Detection Logic for Carbon Black in Uncoder AI
- Uncoder AI feature enables instant creation of detection queries for VMware Carbon Black Cloud using structured threat intelligence.
- AI automates both IOC extraction and the detection rule generation, understanding the required schema for Carbon Black to map threat intel into platform-specific syntax.
- Unique live AI-driven validation of query syntax ensures correct usage of field-value pairs, operators, and schema alignment to reduce misconfiguration chances.
- Operational benefits include accelerating query creation for known adversary infrastructure, reducing errors, enabling proactive threat hunting, and improving consistency of query formatting.
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Socprime
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Image Credit: Socprime
URL-Based IOC Validation for Microsoft Defender KQL
- Uncoder AI demonstrates how to validate URL-based detection logic for Microsoft Defender for Endpoint using KQL.
- The KQL query filters events by the RemoteUrl field and matches against attacker-controlled URLs linked to malicious activities.
- Uncoder AI automates the validation process, ensuring syntax accuracy, field existence, and performance considerations in KQL queries.
- Operational benefits include accurate threat filtering, optimized detection design, and SOC-ready validation before deployment.
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The New Stack
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Image Credit: The New Stack
Simplify Kubernetes Security With Kyverno and OPA Gatekeeper
- Kubernetes poses security challenges that Kyverno and OPA Gatekeeper can address effectively.
- These tools enforce policies to ensure Kubernetes resources are secure before deployment.
- Kyverno simplifies Kubernetes security with easy-to-write YAML policies and built-in compliance reporting.
- Installation of Kyverno involves using Helm and following a few simple steps.
- Kyverno helps in preventing common pitfalls like deploying containers with ':latest' tags.
- OPA Gatekeeper, on the other hand, uses Rego language for policy enforcement in Kubernetes.
- OPA Gatekeeper works as an admission controller to ensure compliance from the start.
- Comparison between Kyverno and OPA Gatekeeper showcases differences in policy language, complexity, and flexibility.
- Choose Kyverno for simpler policies defined in YAML or OPA Gatekeeper for complex policy logic in Rego.
- Both tools help enforce security practices like restricting privileged container execution and requiring specific labels.
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Secureerpinc
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Image Credit: Secureerpinc
LinkedIn Pushes AI For Job Descriptions
- LinkedIn introduces AI-powered tools for job descriptions to enhance job hunting experience of users by using natural language processing and machine learning.
- The upgrade in AI tools can facilitate businesses in finding the right talent faster and make the hiring process more streamlined by matching candidates with job listings accurately.
- AI-driven job searches on LinkedIn lead to smarter hiring processes as resumes can be refined to align with job descriptions, resulting in increased chances of matching with qualified candidates.
- While embracing AI for job descriptions can benefit businesses in recruiting smarter and faster, human oversight remains crucial in the final stages of hiring to prevent potential misuse of AI-generated content.
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Medium
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I Found My Private Google Photos and Emails on Public Archives.
- Private Google Photos and emails were found on public archives without login or warning.
- Google blamed users for leaked links instead of taking responsibility.
- Various sensitive information, such as passports and newborn baby photos, was also exposed.
- The incident highlights ethical concerns and a systemic flaw in how Google handles personal data.
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VentureBeat
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Image Credit: VentureBeat
Databricks and Noma tackle CISOs’ AI nightmares around inference vulnerabilities
- Databricks Ventures and Noma Security address AI inference vulnerabilities with a new $32 million partnership.
- Noma embeds real-time threat analytics and AI red teaming with Databricks to enhance enterprise AI security.
- There is a crucial need to secure AI inference in real-time due to potential data leaks and model manipulations.
- Gartner predicts over 80% of AI incidents will result from internal misuse through 2026.
- Noma's red teaming approach identifies vulnerabilities early, ensuring AI integrity from pre-production.
- The proactive red teaming method helps in early vulnerability detection, strengthening runtime protection.
- Noma's runtime protection is designed to handle complex AI interactions, including generative AI models.
- By integrating governance into the data lifecycle, Databricks' Lakehouse architecture addresses compliance and security risks.
- The Databricks-Noma partnership offers real-time protection against AI threats like data leaks and model jailbreaks.
- Integrated governance and real-time threat detection are crucial as enterprise AI adoption accelerates.
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Socprime
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Image Credit: Socprime
CVE-2025-20286 Vulnerability Exploitation: Critical Cisco ISE Flaw Affects AWS, Microsoft Azure, and OCI Cloud Deployments
- Critical vulnerability (CVE-2025-20286) in Cisco's Identity Services Engine (ISE) allows unauthenticated remote attackers to exploit sensitive information and perform admin actions on cloud platforms like AWS, Azure, and OCI.
- Over 20,000 vulnerabilities disclosed in June 2025, emphasizing the need for enhanced cybersecurity vigilance to combat increasing cyber threats and zero-day vulnerabilities.
- Cisco has issued security updates to address the critical ISE vulnerability (CVE-2025-20286), which affects cloud deployments on AWS, Azure, and OCI, enabling unauthorized access and limited administrative actions.
- Mitigation measures include using Cloud Security Groups, IP-based access control, and resetting credentials, with a hotfix available for ISE versions 3.1 to 3.4, urging users to address the flaw promptly to mitigate risks.
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Medium
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377
Image Credit: Medium
Text Phishing
- Scammers have evolved from email phishing to text message phishing.
- Various tactics used in text phishing include fake giveaway notifications, package delivery updates, false purchase confirmations, and fraudulent credit card offers.
- The aim of text phishing is to deceive individuals into sharing private information like usernames, passwords, date of birth, social security number, or credit card details.
- Text phishing attempts often involve deceptive links that lead to requests for sensitive information.
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Medium
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The Best First Phone to Get Your Kids
- Deciding when to give your child a phone is a significant decision in a parent's life, guided by the child's maturity over physical age.
- Choosing the best first phone for children involves considering safety features, as many options lack child safety features.
- Understanding potential dangers like cyberbullying, increased screen time, and exposure to harmful content is crucial for parents.
- The Bark Phone is recommended for keeping kids safe, with built-in tools to monitor texts, social media, and mental health concerns.
- Parental control features of the Bark Phone include screen time management, app download approval, GPS tracking, and contact list management.
- The Bark Phone allows customization of features to suit different age groups, enabling parents to control the phone's functionality.
- Tamper-proof parental controls on the Bark Phone prevent children from bypassing restrictions set by parents.
- Priced at $49 a month, the Bark Phone requires no upfront cost or contract, offering customizable features to meet families' specific needs.
- By utilizing the Bark Phone, parents can ensure visibility and control over their child's online activities, addressing risks like cyberbullying and online predators.
- In conclusion, the Bark Phone provides a comprehensive solution for parents seeking to introduce their children to the digital world safely.
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