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The United States Secret Service is a federal law enforcement agency with headquarters in Washington, D.C., and more than 150 offices throughout the United States and abroad. The Secret Service was established in 1865, solely to suppress the counterfeiting of U.S. currency. Today, the agency is mandated by Congress to carry out dual missions: protection of national and visiting foreign leaders, and criminal investigations.

U.S. Secret Service A.I CyberSecurity Scoring

USS

Company Details

Linkedin ID:

us-secret-service

Employees number:

2,453

Number of followers:

344,002

NAICS:

92212

Industry Type:

Law Enforcement

Homepage:

secretservice.gov

IP Addresses:

Scan still pending

Company ID:

U.S_2250590

Scan Status:

In-progress

AI scoreUSS Risk Score (AI oriented)

Between 750 and 799

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USS Law Enforcement
Updated:
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globalscoreUSS Global Score (TPRM)

XXXX

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USS Law Enforcement
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U.S. Secret Service

Fair
Current Score
758
Baa (Fair)
01000
1 incidents
-25.0 avg impact

Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.

JANUARY 2026
758
DECEMBER 2025
757
NOVEMBER 2025
757
OCTOBER 2025
756
SEPTEMBER 2025
756
AUGUST 2025
755
JULY 2025
755
JUNE 2025
754
MAY 2025
754
APRIL 2025
778
Cyber Attack
01 Apr 2025 • United States Federal Government (FBI Warning Context)
FBI Warns of AI-Powered Smishing and Vishing Scams Targeting U.S. Government Officials

The FBI issued a public warning about a sophisticated **smishing (SMS phishing) and vishing (voice phishing) campaign** targeting **current/former senior U.S. government officials and their contacts** since April 2025. Malicious actors impersonate high-ranking officials using **AI-generated voice cloning** and fraudulent text messages to deceive victims into revealing **sensitive personal data, login credentials, or financial information**. The attack exploits **trust in authoritative figures**, leveraging publicly available data (e.g., job titles, photos) to craft convincing lures. Victims are tricked into clicking malicious links, downloading malware, or granting access to accounts under false pretenses (e.g., switching to a 'secure' messaging platform).The stolen credentials risk **further impersonation, disinformation campaigns, or financial fraud**, with potential cascading effects on **national security** if government communications or networks are compromised. While no large-scale data breach has been confirmed, the campaign’s **targeted nature**—focusing on high-profile individuals—poses a severe risk of **credential harvesting, identity theft, and unauthorized access to classified or sensitive systems**. The FBI emphasizes the threat’s **evolving sophistication**, combining **social engineering with AI-driven deception** to bypass traditional defenses.

753
critical -25
US-5985259112625
social engineering phishing smishing vishing impersonation AI-powered fraud
SMS/MMS (smishing) voice calls/voicemails (vishing) AI-generated audio malicious links fake messaging platforms trust exploitation
human trust lack of multi-factor authentication (MFA) publicly available personal data (e.g., photos, job titles) AI voice cloning limitations urgency/authority manipulation
financial gain credential harvesting disinformation espionage fraud network infiltration
personal information login credentials contact lists potentially sensitive government communications potential erosion of trust in government communications reputational damage to impersonated officials Identity Theft Risk: high Payment Information Risk: high
public service announcement (PSA) awareness campaign reporting via IC3 (Internet Crime Complaint Center) password changes multi-factor authentication (MFA) enforcement account monitoring FBI PSA media outreach direct warnings to potential targets recommendation for individuals to monitor accounts
personal identifiable information (PII) credentials contact lists potentially sensitive communications Sensitivity Of Data: high Data Exfiltration: likely
FBI public advisory
AI-powered scams are increasingly sophisticated and can bypass traditional skepticism. Trust-based attacks exploit human psychology, requiring behavioral defenses (e.g., verification habits). Publicly available data (e.g., LinkedIn, social media) fuels convincing impersonations. Multi-factor authentication (MFA) is critical but must be paired with user education to prevent code-sharing. Proactive communication from authorities can mitigate large-scale campaigns.
Never share sensitive information (credentials, PII, financial data) via unsolicited messages/calls. Verify new contact information through existing, trusted channels. Avoid clicking links or downloading attachments from unconfirmed sources. Enable MFA and never share codes, even with seemingly legitimate requests. Use a family/team verification phrase for emergency identity confirmation. Download apps/files only from official sources. Report suspicious activity to the FBI IC3 (www.ic3.gov). Train employees on recognizing AI-generated scams (e.g., voice artifacts, tone inconsistencies). Implement strict MFA policies and phishing-resistant authentication methods. Monitor dark web for exposed credentials linked to employees. Establish clear protocols for verifying high-stakes requests (e.g., fund transfers). Collaborate with law enforcement to share threat intelligence.
ongoing
General public alert via media direct outreach to potential high-value targets
FBI PSA warning senior officials and their contacts recommendations for public vigilance
SMS/MMS messages voice calls/voicemails fake messaging platforms senior U.S. government officials (current/former) their personal/professional contacts Data Sold On Dark Web: likely (credentials, PII)
Over-reliance on trust in digital communications Lack of widespread MFA adoption Public exposure of personal/professional details (e.g., LinkedIn, government directories) Limited public awareness of AI-generated scam tactics Delayed reporting of suspicious activity FBI-led awareness campaigns targeting high-risk groups Encouragement of MFA adoption and password hygiene Development of AI-detection tools for voice/video calls Policy changes to limit public exposure of official contact details Enhanced collaboration between government agencies and tech platforms to disrupt scam infrastructure
MARCH 2025
778
FEBRUARY 2025
778

Frequently Asked Questions

According to Rankiteo, the current A.I.-based Cyber Score for U.S. Secret Service is 758, which corresponds to a Fair rating.

According to Rankiteo, the A.I. Rankiteo Cyber Score for December 2025 was 757.

According to Rankiteo, the A.I. Rankiteo Cyber Score for November 2025 was 757.

According to Rankiteo, the A.I. Rankiteo Cyber Score for October 2025 was 756.

According to Rankiteo, the A.I. Rankiteo Cyber Score for September 2025 was 756.

According to Rankiteo, the A.I. Rankiteo Cyber Score for August 2025 was 755.

According to Rankiteo, the A.I. Rankiteo Cyber Score for July 2025 was 755.

According to Rankiteo, the A.I. Rankiteo Cyber Score for June 2025 was 754.

According to Rankiteo, the A.I. Rankiteo Cyber Score for May 2025 was 754.

According to Rankiteo, the A.I. Rankiteo Cyber Score for April 2025 was 753.

According to Rankiteo, the A.I. Rankiteo Cyber Score for March 2025 was 778.

According to Rankiteo, the A.I. Rankiteo Cyber Score for February 2025 was 778.

Over the past 12 months, the average per-incident point impact on U.S. Secret Service’s A.I Rankiteo Cyber Score has been -25.0 points.

You can access U.S. Secret Service’s cyber incident details on Rankiteo by visiting the following link: https://www.rankiteo.com/company/us-secret-service.

You can find the summary of the A.I Rankiteo Risk Scoring methodology on Rankiteo by visiting the following link: Rankiteo Algorithm.

You can view U.S. Secret Service’s profile page on Rankiteo by visiting the following link: https://www.rankiteo.com/company/us-secret-service.

With scores of 18.5/20 from OpenAI ChatGPT, 20/20 from Mistral AI, and 17/20 from Claude AI, the A.I. Rankiteo Risk Scoring methodology is validated as a market leader.