Protect Your Business with AI-Powered Email Security – Next-Gen Email Threat Protection

Did you know that over 80% of cyberattack security incidents start with a well-crafted phishing email? That’s right; incoming email phishing attacks are the most common way hackers try to infiltrate your systems.

Artificial intelligence is vital in protecting a mailbox from any cyber threat. New AI tools like Trustifi will allow you to identify malicious email behaviors.  

Traditional prevention techniques aren’t enough anymore for these sophisticated attacks. 

Here are vital points all organizations need to consider before adopting AI.

• Although AI and ML can be used for better organizational efficiency and information management, AI still needs improvement.
• It is crucial to remember that this system will only work if uncorrupted data back it.
• Feeding data into AI- human intervention machine learning algorithms is essential.
• Adding AI-Focused cybersecurity personnel with expertise in data science and analytics is essential to capitalize on the value of AI-powered solutions.

Validating a combination of machine learning and AI for any organization is an ongoing exercise.

While AI has great potential across several business lines, including customer success, product development, and marketing, cybersecurity AI continues to be viewed as more mature for organizations to consider adopting.

The Threat from AL and ML Tools in the Wrong Hands

Dori Buckethal, the vice president of Thomson Reuters Risk & Fraud Solutions, stated that organized crime rings are advanced and adopt new technology quickly.

She explained that generative AI and machine learning can now replace previously manual processes used by

Generative AI technology presents potential risks to the safety and protection of critical state, local, and federal government agencies and entitlement programs.

AI algorithms become used for fraud in various sectors by predicting sensitive information like social security numbers,  increasing modern email threats, including creating impersonation email domains, and creating fake identities, leading to fraudulent activities like healthcare claims, defense contracts, tax returns, and aid applications.

Faulty algorithms could block critical emails and attachments from reaching their correct sender and receiver.

Corrupt machine learning also affects the ability to launch reactive and proactive countermeasures during a cybersecurity attack.

Faults in AI and ML Configuration and Management 

Human error creates more challenging issues when organizations enable next-generation security email threat defense.

Setting up AI and ML systems is a challenging single-click experience. AI and ML require a team of data scientists, data analytics, application, and cybersecurity engineers working together to develop and maintain these complex systems.

The effect of human error in maintaining AI and ML systems could take months or even years before the issue becomes discovered. 

Hackers will attack AL and ML systems looking for exposed vulnerabilities and misconfiguration, hoping to corrupt the systems.

With the risk of this type of security breach, security engineers need to develop testing and quality assurance automation capabilities to continuously test their AI and ML systems to validate the data and outputs and maintain the highest level of integrity. 

How Important is AI-Powered Email Security?

To identify and notify users when their mailbox has been compromised, AI-Powered Email Security solutions like Trustifi AI Engines continuously monitor user email behavior to spot anomalies in volume, context, devices, geo-location, type of  sent emails,  and more.

Trusifi is an AI-powered Email security solution that secures your business from today’s most dangerous email threats; you can request a free Demo.

With the increasing availability of structured and unstructured electronic data, artificial intelligence and machine learning techniques have been crucial in protecting email and IM.

Email-based threats, including zero-day attacks and associated methods of communication, continue to be targeted by hackers, phishers, and cyber criminals.

Organizations could face orchestrated and well-coordinated cybersecurity from a state-sponsored APT hacker group or loosely formed hacker hobbyist.

Knowing what type of email attack the organization faces, including methods and how it becomes attacked, is no longer a manual process.

The amount of AI-Powered Email Security telemetry prevents a manual correlation. Without AI and Machine learning( ML) tools, organizations will quickly become overwhelmed with the amount of data to process, no root-cause analysis, or timely deployment of security countermeasures.

What is at Risk if the Entire Cloud Email is not Protected with AI?

Email continues to be the top method of communication for organizations. With the broad adoption of data loss prevention, email encryption, and multi-factor authentication, the need to continuously innovate AI-Powered Email Security capabilities is an ongoing event.

Hackers have found ways to bypass multi-factor authentication. Okta Concludes its Investigation Into the January 2022 Compromise.

Hackers will use their version of AI to execute multi-threat attacks, including these threat vectors and more. 

These attacks cause damage to organizations on a much grander scale if companies do not deploy the proper AI countermeasures. 

The damage to the organization could include the following:

Loss of Customers.

Building trust with your customers is essential. Phishing scams can harm your brand and compromise your data.

Losing trust damages your brand and reduces revenue.

Fines and Regulatory Audits.

In the event of data theft, organizations may be required to compensate those affected, resulting in significant financial costs.

Data breaches can cause consumers to lose trust in a company’s security measures, shifting towards alternative options. The affected organization may experience financial losses and decreased customer loyalty.

Loss of Investor Confidence.

After experiencing a setback, it’s challenging to rebuild confidence. This can also affect investor confidence, resulting in a decrease in a company’s worth. For example 2018, Facebook’s value decreased by $36 billion following a data breach.

Losing Intellectual Property.

Beware of the treacherous waters of phishing attacks,  trade secret theft, customer lists, priceless research, cutting-edge tech stolen by phishers and hackers more!

How Can AI Be Used for Email Security?

A business email compromise is a prevalent form of fraud where a criminal impersonates a legitimate business through email.

That’s where artificial intelligence (AI) and machine learning (ML) come in.

Companies can improve their email security and optimize efficiency using these cutting-edge technologies. Let’s dive in and see what AI and ML can do for your email security strategy.

Implementing AI-Powered Email security solutions can secure your business from today’s most dangerous email threats, such as Email Tracking, Blocking, Modifying, Phishing, Account Take Over, Business Email Compromise, Malware & Ransomware – Request Free Demo.

Machine Learning-Assisted Hacking Tools.

Phishing attacks typically involve voice and SMS text-phishing attacks, tricking victims into providing password and email information.

Organizations investing in their own defensive machine learning-assisted tools quickly recognize both the need and time sensitively to get these tools deployed.

However, AI and ML tools take many months to learn the behavior of the organization’s network and systems to develop benchmarking and trending.

These AI and ML development stages also require extensive data to help understand and create machine learning outputs.

Hackers using similar AI and ML steal terabytes from organizations through email, syslog highjacking, and data exfiltration.

The hackers feed stolen data into their AI and ML engines to create attack strategies.

AL and ML Integration into SecOps Workflows.

Organizations incorporating several innovative architectures, including extended detection and response(XDR), zero-trust, cloud-based email security with AI, and security orchestrated automation and response(SOAR), are collapsing the security telemetry into security event information management(SIEM) system with AI capabilities.

Security Operations(SecOps), through their Al and ML automation, leverage SIEM tools to enable faster and more accurate countermeasures to reduce the impact of these complex attacks.

Hackers, also using AL, often will alter their attacks based on the success or failure of previous episodes. Using their AI, they will change their tactics, the scale of the attack, and targets much faster using AL and ML.

With AL on both sides of the cybersecurity battle, both sides will have a chance against their adversary.

The Imperfection of AI and ML for Email Security.

Even with the tremendous potential of AI and ML for email security, this disruptive technology can quickly become destructive.

Encrypting the data is one way to help prevent corruption. Securing the AI and ML applications and platforms also helps the risk. 

Another critical concern for AL and ML is altering algorithms that unintentionally block emails from a specific group in society applying for a student loan or a home mortgage.

Organizations using AL as part of the decision logic must ensure safeguards around how the AI algorithms process the raw data and provide a quality assurance layer within the ML system.

Faulty algorithms could block critical emails and attachments from reaching their correct sender and receiver. Corrupt machine learning also affects the ability to launch reactive and proactive countermeasures during cybersecurity attacks.

AI-Powered Email Security – Conclusion

Fortunately, AI and ML can assist in this area. AI/Ml-powered email security solutions, real-time detection, and other advanced threat feature protection are essential for all organizations.

AI-Powered Email Security technologies can analyze incoming messages in real-time and identify suspicious activity within the message header, body, and attachments.

These remarkable features powered by multilayered detection techniques with threat-protection policies provide an additional layer of inbound email security to stop AI-powered malicious content through the email channel.

Email security systems can take action before a harmful message reaches your inbox. Email security can become more robust and effective with less management overhead with AI and ML.

Source: https://cybersecuritynews.com/ai-powered-email-security-solution/