Beware of Deepfakes! Learn How to Spot
the Different Types ภาพที่เห็น เสียงที่ได้ยิน อาจไม่ใช่ของจริงเสมอไปต้องยอมรับว่า เทคโนโลยี Deepfake ที่ใช้ AI แปลงหน้าตา หรือเสียงของคนหนึ่งให้เป็นอีกคนหนึ่ง นั้นมีมานานมากแล้ว แต่ก่อนหน้านี้ มันยังไม่ได้สมจริงเท่าไหร่ เราสามารถดูออกได้ง่าย และก็ทำให้เราไม่ตกเป็นเหยื่อแต่ล่าสุด ความสมจริงไม่ได้มีแค่ในซีรีส์ อย่างเรื่อง Celebrity ใน Netflix ในโลกทุกวันนี้มีมิจฉาชีพพัฒนา Deepfake ทำคลิปหลอกลวง เพื่อประโยชน์ทั้งเรื่องข่าวเท็จ ล่อลวง หรือแม้แต่สร้างความบิดเบือนในมุมต่างๆ มากมายหลักการเบื้องต้นของการจับผิด Deepfake ไม่ว่าจะเป็นเรื่องสลับหน้า แปลงเสียง หรือปลอมแปลงข้อความ คือไม่เชื่ออะไรที่ง่ายเกินไป พยายามหาแหล่งที่มา เปรียบเทียบเนื้อหาให้ชัดเจน และเสพข่าวหรือรับสารอย่างมีวิจารณญาณเท่านี้คือหลักการเบื้องต้นในการทบทวนและช่วยเลี่ยงคุณจากกลโกงเรื่อง Deepfake และคุณควรติดตามข่าวสารรวมถึงเทรนด์ต่างๆ จากแหล่งที่น่าเชื่อถืออยู่เสมอ เพื่อรู้เท่าทันและไม่เป็นเหยื่อของมิจฉาชีพหากคุณมีข้อแนะนำ หรือต้องการคำปรึกษาใดๆ เกี่ยวกับการป้องกันภัยออนไลน์ สามารถติดต่อเน็ตเวย์ได้ 24 ชม.Contact Netway Communication (24x7) 📲: 02 055 1095 📧: support@netway.co.th 👨💻Web chat: [[URL]]/ 💙Facebook Messenger: @netway.official https://www.facebook.com/netway.official 💚Add Line ID: @netway https://bit.ly/line-netway#Deepfakes #CyberAware #DigitalSecurity #DigitalLiteracy #CyberSmart #Deepfakes
Have you ever seen a video of your favorite celebrity saying something outrageous? Then later, you find out it was completely fabricated? Or perhaps you've received an urgent email seemingly from your boss. But something felt off. Welcome to the world of deepfakes. This is a rapidly evolving technology that uses artificial intelligence (AI). It does this to create synthetic media, often in the form of videos or audio recordings. They can appear real but are actually manipulated. People can use deepfakes for creative purposes. Such as satire or entertainment. But their potential for misuse is concerning. Deepfakes have already made it into political campaigns. In 2024, a fake robocall mimicked the voice of a candidate. Scammers wanted to fool people into believing they said something they never said.
Bad actors can use deepfakes to spread
misinformation. As well as damage reputations and even manipulate financial
markets. They are also used in phishing attacks. Knowing how to identify
different types of deepfakes is crucial in today’s world.So, what are the different types of
deepfakes, and how can you spot them?Face-Swapping DeepfakesThis is the most common type. Here the face
of one person is seamlessly superimposed onto another's body in a video. These
can be quite convincing, especially with high-quality footage and sophisticated
AI algorithms.Here's how to spot them:Look for inconsistencies: Pay close attention to lighting, skin tones, and facial
expressions. Do they appear natural and consistent throughout the video? Look
for subtle glitches such as hair not moving realistically or slight
misalignments around the face and neck.Check the source: Where did you encounter the video? Was it on a reputable news site
or a random social media page? Be cautious of unverified sources and unknown
channels.Listen closely: Does the voice sound natural? Does it match the person's typical
speech patterns? Incongruences in voice tone, pitch, or accent can be
giveaways.Deepfake AudioThis type involves generating synthetic
voice recordings. They mimic a specific person's speech patterns and
intonations. Scammers can use these to create fake audio messages. As well as
make it seem like someone said something they didn't.Here's how to spot them:Focus on the audio quality: Deepfake audio can sound slightly robotic or unnatural. This is
especially true when compared to genuine recordings of the same person. Pay
attention to unusual pauses as well as inconsistent pronunciation or a strange
emphasis.Compare the content: Does the content of the audio message align with what the person
would say? Or within the context in which it's presented? Consider if the
content seems out of character or contradicts known facts.Seek verification: Is there any independent evidence to support the claims made? If
not, approach it with healthy skepticism.Text-Based DeepfakesThis is an emerging type of deepfake. It uses AI
to generate written content. Such as social media posts, articles, or emails.
They mimic the writing style of a specific person or publication. These can be particularly
dangerous. Scammers can use these to spread misinformation or impersonate
someone online.Here's how to spot them:Read critically: Pay attention to the writing style, vocabulary, and tone. Does it
match the way the person or publication typically writes? Look for unusual
phrasing, grammatical errors, or inconsistencies in tone.Check factual accuracy: Verify the information presented in the text against reliable
sources. Don't rely solely on the content itself for confirmation.Be wary of emotional
triggers: Be cautious of content that evokes strong
emotions. Such as fear, anger, or outrage. Scammers may be using these to
manipulate your judgment.Deepfake Videos with Object
ManipulationThis type goes beyond faces and voices. It
uses AI to manipulate objects within real video footage such as changing their
appearance or behavior. Bad actors may be using this to fabricate events or
alter visual evidence.Here's how to spot them:Observe physics and
movement: Pay attention to how objects move in the
video. Does their motion appear natural and consistent with the laws of
physics? Look for unnatural movement patterns as well as sudden changes in
object size, or inconsistencies in lighting and shadows. Seek original footage: If possible, try to find the original source of the video footage.
This can help you compare it to the manipulated version and identify
alterations.Staying vigilant and applying critical
thinking are crucial in the age of deepfakes. Familiarize
yourself with the different types. Learn to recognize potential red flags.
Verify information through reliable sources. These actions will help you become
more informed and secure.Get a Device Security CheckupCriminals are using deepfakes for phishing.
Just by clicking on one, you may have downloaded a virus. A device security
checkup can give you peace of mind. We’ll take a look for any potential threats
and remove them.
Article used with permission from The Technology
Press.
Here Are 5 Data Security Trends to
Prepare for in 2024นับวันความเสี่ยงต่อ “ความปลอดภัยของข้อมูล” (Data Security) เริ่มมีความซับซ้อนและเกิดขึ้นในวงกว้าง ดังนั้นจึงจำเป็นต้องรู้ทันและขยายขอบเขตในการป้องกันเพื่อการควบคุมได้อย่างทั่วถึงสำหรับปี 2024 นี้ มีเรื่องเทรนด์ของ Data Security ที่ควรรู้ทันและเริ่มป้องกันเรื่องความปลอดภัยของข้อมูล ก่อนที่จะสายเกินไป ผมสรุปเป็นข้อๆ จากบทความภาษาอังกฤษไว้ตามนี้ครับ1. AI และ Machine Learning ในแวดวง Security กำลังขยายตัวมากขึ้นเรื่อยๆ2. Ransomware เป็นศัตรูตัวฉกาจที่พัฒนารูปแบบกลโกงอยู่ตลอดเวลา3. ควรออกแบบและวางกรอบแนวคิด Data Governance ให้มีความยืดหยุ่นและสอดคล้องกับการทำงานขององค์กร4. จำเป็นต้องสร้างระบบ Zero Trust Security และ Multi-Factor Authentication (MFA) ขององค์กรให้แข็งแกร่งตลอดเวลา 5. ยิ่งเป็นข้อมูลที่มีความเป็นส่วนตัวมากเท่าไร ยิ่งควรทำ Biometric Data Protection เช่น การเก็บข้อมูล 'ข้อมูลสแกนใบหน้า ลายนิ้วมือ'และหากใครต้องการอ่านแบบเน้นๆ ในเวอร์ชั่นภาษาอังกฤษ สามารถเลื่อนอ่านได้ตามด้านล่างหรือหากต้องการขอคำปรึกษาเรื่องความปลอดภัยที่เหมาะกับองค์กรของคุณ ลองติดต่อมาคุยกับเน็ตเวย์ฯ ได้นะครับContact Netway Communication (24x7) 📲: 02 055 1095 📧: support@netway.co.th 👨💻Web chat: [[URL]]/ 💙Facebook Messenger: @netway.official https://www.facebook.com/netway.official 💚Add Line ID: @netway https://bit.ly/line-netway#DataSecurityTrends #Cybersecurity #TechFuture #DataProtection #SecurityTrends #BusinessResilience
With cyber threats evolving at an alarming
pace, staying ahead of the curve is crucial. It’s a must for safeguarding
sensitive information. Data security threats are becoming more sophisticated
and prevalent. The landscape must change to keep up. In 2024, we can expect
exciting developments alongside persistent challenges. Over 70% of business professionals say
their data privacy efforts are worth it. And that
their business receives “significant” or “very significant” benefits from those
efforts.Staying informed about these trends is
crucial. This is true whether you’re an individual or a business safeguarding
valuable data. Here are some key areas to watch.1. The Rise of the Machines: AI and
Machine Learning in SecurityArtificial intelligence (AI) and machine
learning (ML) are no longer futuristic concepts. They are actively shaping the
cybersecurity landscape. This year, we'll likely see a further rise in their
application:Enhanced Threat Detection: AI and ML algorithms excel at analyzing massive datasets. This
enables them to identify patterns and anomalies that might escape human notice.
This translates to a quicker detection of and reaction to potential cyber
threats. Predictive Analytics: AI can predict potential vulnerabilities and suggest proactive
measures. It does this by analyzing past cyberattacks and security incidents. Automated Response: AI can go beyond detection and analysis. Professionals can program
it to automatically isolate compromised systems as well as block malicious
activity and trigger incident response procedures. This saves valuable time and
reduces the potential impact of attacks. AI and ML offer significant benefits. But
it's important to remember they are tools, not magic solutions. Deploying them
effectively requires skilled professionals. Experts who can interpret the data
and make informed decisions.2. Battling the Ever-Evolving
Threat: RansomwareRansomware is malicious software that
encrypts data and demands a ransom for decryption. It has been a persistent
threat for years. Unfortunately, it's not going anywhere in 2024. Hackers are
constantly refining their tactics, targeting individuals and businesses alike.
Here's what to expect:More Targeted Attacks: Hackers will likely focus on meticulously selecting high-value
targets. Such as critical infrastructure or businesses with sensitive data.
They do this to maximize their impact and potential payout.Ransomware-as-a-Service
(RaaS): This enables those with limited technical
expertise to rent ransomware tools. This makes it easier for a wider range of
actors to launch attacks.Double Extortion: Besides encrypting data, attackers might steal it beforehand. They
then may threaten to leak it publicly if the ransom isn't paid, adding pressure
on victims.3. Shifting Strategies: Earlier
Data Governance and Security ActionTraditionally, companies have deployed data
security measures later in the data lifecycle. For example, after data has been
stored or analyzed. But a new approach towards earlier action is gaining
traction in 2024. This means:Embedding Security Early On: Organizations are no longer waiting until the end. Instead,
they will integrate data controls and measures at the start of the data
journey. This could involve setting data classification levels as well as
putting in place access restrictions. They will also be defining data retention
policies early in the process.loud-Centric Security: More organizations are moving towards cloud storage and
processing. As they do this, security solutions will be closely integrated with
cloud platforms. This ensures consistent security throughout the entire data
lifecycle.Compliance Focus: Data privacy regulations like GDPR and CCPA are becoming
increasingly stringent. As this happens, companies will need to focus on data
governance to ensure compliance. 4. Building a Fortress: Zero Trust
Security and Multi-Factor AuthenticationWe're in a world where traditional
perimeter defenses are constantly breached. This is why the "Zero
Trust" approach is gaining prominence. This security model assumes that no
user or device is inherently trustworthy. Users and programs need access
verification for every interaction. Here's how it works:Continuous Verification: Every access request will be rigorously scrutinized. This is
regardless of its origin (inside or outside the network). Systems base
verification on factors like user identity, device, location, and requested
resources.Least Privilege Access: Companies grant users the lowest access level needed to
perform their tasks. This minimizes the potential damage if hackers compromise their
credentialsMulti-Factor Authentication
(MFA): MFA adds an important extra layer of
security. It requires users to provide extra factors beyond their password.5. When Things Get Personal:
Biometric Data ProtectionBiometrics include facial recognition,
fingerprints, and voice patterns. They are becoming an increasingly popular
form of authentication. But this also raises concerns about the potential for
misuse and privacy violations:Secure Storage Is Key: Companies need to store and secure biometric data. This is
ideally in encrypted form to prevent unauthorized access or breaches.Strict Regulation: Expect governments to install stricter regulations. These will
be around the collection, use, and retention of biometric data. Organizations
will need to ensure they adhere to evolving standards. They should also focus
on transparency and user consent.How to Prepare for Evolving Data
Security TrendsFeeling a bit overwhelmed? Don't worry,
here are some practical steps you and your organization can take:tay InformedInvest in TrainingReview Security PoliciesEmbrace Security TechnologiesTest Your SystemsSchedule a Data Security Assessment
Today!The data security landscape of 2024
promises to be both intriguing and challenging. We can help you navigate this
evolving terrain with confidence. A data security assessment is a great place
to start. Contact us today to schedule yours.
Article used with permission from The Technology
Press.
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