COLLABORATION – STRATEGIC CYBERSECURITY PARTNERSHIP
Predicting threats before attacks occur
IPSIP Vietnam and BforeAI apply artificial intelligence and predictive analytics to identify early warning signs and malicious infrastructure, helping businesses shift from post-incident response to proactive defense.
Predictive AI
Threat intelligence
Proactive defense
CUSTOMER CONTEXT
When a threat is detected, is it already too late?
As businesses continuously expand their digital infrastructure, cyberattacks are also increasing in scale and sophistication. The challenge is no longer limited to blocking known malware; organizations must also identify warning signs before attackers can gain access.
Businesses need to detect anomalous signals before attackers can infiltrate their systems.
THE DETECTION GAP
TRADITIONAL MODEL
A threat emerges
Malicious infrastructure or domains begin to be used.
The system is targeted
Signs of an attack appear within the business environment.
Security tools detect the threat
Antivirus, EDR, or XDR tools identify malware and anomalous behavior.
Response and Remediation
The incident is contained, and affected systems are remediated.
PREDICTIVE MODEL
Anomalous signals emerge
AI analyzes the risk
Data is analyzed to identify patterns and assess risk levels.
Early warning
Security team gains additional time to evaluate the threat and prepare defensive measures.
Proactive prevention
The risk can be addressed before the attack begins.
THE SHIFT
AI-powered predictive analytics helps narrow the gap between the first appearance of dangerous signals and the moment an attack actually occurs.
BforeAI PreCrime: Predicting malicious domains before they are exploited
Rather than waiting for malware or intrusion activity to emerge, BforeAI analyzes signals associated with domains and changes in the surrounding infrastructure from the earliest stages.
7
YEARS OF RESEARCH AND DEVELOPMENT
04
INTERNATIONAL PATENTS
1.7M+
Indicators of compromise analyzed
6M+
Malicious activities prevented
Score
Domain risk identification
From initial signals to defensive action
01
02
03
04
Signals emerge
AI analysis
Risk assessment
Proactive defense
Changes associated with domains and network infrastructure are recorded.
Data is correlated to identify patterns potentially associated with malicious activity.
Signals are consolidated into a risk score for each analyzed domain.
Security teams are supported in evaluating and blocking threats before an attack begins.
Threat score - Risk identification score
A basis for prioritizing the monitoring, assessment, or blocking of domains exhibiting suspicious indicators.
EARLY WARNING
From IOCs to threat scores
Algorithms developed by BforeAI use artificial intelligence to identify malicious domains by analyzing more than 1.7 million IOCs - Indicators of Compromise.
The collected signals are consolidated into a Threat Score - a risk score associated with each domain.
This information helps businesses prioritize the monitoring, assessment, or blocking of potentially dangerous domains before they are used in an attack.
EARLY-WARNING MECHANISM
A threat score for each domain
Transforms technical signals into an actionable metric for risk assessment and defense.
Illustration of the lead time during which BforeAI begins providing protection before an attack occurs.
AGNOSTIC ANALYSIS METHOD
Identifying risks as domain infrastructure emerges
Unlike conventional solutions that focus on malware, BforeAI analyzes domains using an Agnostic approach, monitoring changes in the infrastructure surrounding each domain from the moment it is created.
According to the information presented in the materials, Google-owned VirusTotal currently recognizes BforeAI as the fastest solution on the market for identifying domain-related threats.
At what scale does BforeAI PreCrime analyze and identify risks?
Its large-scale data-processing capabilities enable the platform to continuously filter signals, identify threats, and provide security teams with early warnings.
30K+
Threats identified daily
500K+
Domains analyzed daily
Supports the identification of risks associated with phishing, DDoS, and ransomware.
<0,05%
Helps security teams focus on relevant signals and reduce unnecessary investigations.
False-positive rate
4 month
Extends the window available for businesses to assess risks and prepare defensive measures.
Early prediction capability
From vast volumes of data to actionable alerts: BforeAI helps businesses identify risks earlier.
Customer Evidence · BforeAI
CUSTOMER STORY
Signify proactively protects its digital infrastructure with BforeAI
Signify, formerly Philips Lighting, is a global company operating in the lighting industry. Despite having modern security systems in place, the organization needed a more proactive approach to address increasingly sophisticated cyberattacks.
Signify selected BforeAI to improve early threat detection and protect its digital infrastructure before warning signs could develop into actual attacks.
KEY RESULTS
+60%
Improvement in early threat detection
4 months
EARLY PREDICTION
Ability to identify risks ahead of the wider market
USD 30M+
RISKS PREVENTED
Value of risks prevented
Results Achieved
Applying predictive AI extends the organization’s visibility beyond its internal systems, enabling it to identify suspicious infrastructure before an attack actually begins.
4 months
Early prediction capability
PreCrime helps identify infrastructure that may be used for malicious activity up to four months ahead of the wider market, giving businesses more time to assess risks and prepare defensive measures.
<0,05%
False-positive rate
High detection accuracy limits unnecessary alerts, reduces verification time, and helps security teams focus on priority risks.
500K+
Domains analyzed daily
The AI model continuously processes large volumes of data to detect changes and anomalous signals associated with domains and network infrastructure.
>30M USD
Value of risks prevented
The solution helped prevent risks with a total estimated value exceeding USD 30 million, demonstrating the business impact of early threat identification.
30K+
Threats identified daily
The system helps identify risks associated with phishing, DDoS, ransomware, and infrastructure exhibiting signs of malicious activity.
CONCLUSION
By transforming large-scale data into actionable alerts, BforeAI helps businesses shift from post-incident response to proactive threat identification and defense.
Why choose IPSIP Vietnam for IT Helpdesk Services?
Access to advanced predictive technology
Through its strategic partnership with BforeAI, IPSIP brings PreCrime technology into its solution ecosystem, supporting the early identification of domains and infrastructure exhibiting signs of malicious activity.
Experienced implementation team
IPSIP helps businesses assess their requirements, define the appropriate scope of deployment, and integrate alerts into their existing security operations.
24/7 technical support
The IPSIP team is available to receive requests, help resolve technical issues, and support businesses throughout the solution’s operation.
International security standards
Operational processes follow information security standards such as ISO/IEC 27001:2022 and SOC 2 Type II, strengthening information protection and control throughout the support process.
Strong and trusted cybersecurity protection
IPSIP combines the expertise of its security team with a solution ecosystem from SentinelOne, CrowdStrike, Fortinet, and Sekoia. Based on the required scope, suitable solutions are selected to support security monitoring and the detection and management of threats to business systems.
This approach strengthens data protection, supports stable operations, and improves response capabilities when security risks emerge.
TELL US ABOUT YOUR PROJECT
...And our team will:
Review your request within 1–2 business hours.
Provide a detailed proposal based on your project’s specific scope and requirements.
Arrange an in-depth call to discuss your project and finalize the most suitable approach.
Sign the service agreement and officially launch the project with you.
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