The rise of Artificial Intelligence (AI) and the adoption of AI tools has revolutionized the business landscape. Through optimizing processes, automating tasks, and analyzing data at unimaginable speeds, AI has become the catalyst for unprecedented business growth. This has led to exponential transformations across every industry – and the cybercrime sector is no exception.
According to the World Economic Forum (WEF) Global Risks Report (2023), widespread cybercrime and cyber insecurity is one of the top 10 global risks for the next decade. Within the next two years, cybercrime is expected to evolve rapidly, with cybercriminals leveraging AI to launch sophisticated attacks that evade traditional security measures. As AI technology becomes more accessible, cybercriminals can deploy AI algorithms to predict zero-day vulnerabilities, create convincing fake content, and craft advanced social engineering attacks.
How AI Is Changing Cybercrime
AI-Driven Attack Vectors:
Cybercriminals are now using AI-driven attack vectors that have the potential to learn and adapt, making them highly elusive and difficult to detect. Malware, ransomware, and phishing attacks have become more dynamic and adaptable and can evade traditional cybersecurity protocols or tools.
Using AI-powered automation, threat actors can launch large-scale attacks efficiently and quickly. Automated bots can conduct reconnaissance, scan for vulnerabilities, and rapidly exploit them to cause significant damage in a short period.
AI-Generated Fake Content:
AI-generated deep fakes and fake content pose a significant threat to trust and reliability. Cybercriminals can create convincing audio and video content and trick targets into using fraudulent websites or services.
Advanced Social Engineering Attacks:
Criminals can easily use AI to mine data from social media and craft convincing social engineering attacks on unsuspecting targets.
Sophisticated hackers can create AI algorithms to predict zero-day vulnerabilities by analyzing software patterns and code, exploiting them before developers can release patches, leaving end users vulnerable.
The continuing spike in cyberattacks and the anticipated sophistication of AI-powered cyberattacks demand that businesses implement robust and proactive cybersecurity measures. In order for organizations to adequately protect themselves against new AI-powered cyber threats, they would need to implement AI-powered managed cybersecurity services.
How AI Is Empowering Cyber Security Managed Services
AI has revolutionized the world of cybersecurity managed services by offering advanced capabilities that traditional methods cannot match. Instead of relying solely on antivirus software, basic scanning technologies, and generic vulnerability databases, AI-powered managed cybersecurity solutions take a proactive approach using AI and machine learning.
By leveraging AI-powered vulnerability intelligence, real-time monitoring, advanced analytics, and robust scalability and integration features, AI-driven cybersecurity services can predict which vulnerabilities are likely to be exploited and provide clients with early warnings on threat detection. This helps prevent incidents before they cause any damage.
There are several key benefits to integrating AI-driven vulnerability intelligence in managed cybersecurity services:
Enhanced Threat Detection:
AI-based real-time analysis enables quicker incident response by processing data from various sources, including hacker chatter, discussions in forums and the dark web, and multiple databases. This allows for the tracking of trending vulnerabilities and emerging attack patterns.
Automated Patch Management:
AI-based automated patch management and prioritization of vulnerabilities optimize remediation efforts. This ensures that the most critical vulnerabilities are addressed first, reducing the risk of exploitation.
Detection of Insider Threats:
Behavioral analytics powered by AI can detect anomalies with unprecedented accuracy. Using sophisticated algorithms, these services can monitor data across multiple platforms, flagging potential insider threats that may go unnoticed otherwise.
Proactive Threat Identification:
Through predictive analysis, AI-powered managed services proactively identify and prioritize emerging cyber threats. This provides a reliable way to pre-emptively address potential threats before they can cause harm.
Securin's Vulnerability Intelligence Platform
To ensure proactive vulnerability management, Securin’s Vulnerability Intelligence (VI) platform contains predictive intelligence capable of identifying vulnerabilities that are most attractive to attackers. The VI platform and its real-time threat intelligence serves as the cornerstone of Securin’s managed cybersecurity services, amplifying the prowess of analysts and penetration testers. By guiding them towards vulnerabilities within complex systems, VI facilitates proactive mitigation strategies.
Additionally, as Securin VI continuously monitors the presence of vulnerabilities that are commonly exploited in Advanced Persistent Threat (APT) group, ransomware, and malware attacks, it offers real-time intelligence and is the best tool to help security teams proactively identify emerging and trending risks. With Securin’s early warning predictions, cybersecurity analysts are able to help organizations patch their gaps before these vulnerabilities are weaponized or exploited in malicious campaigns.
Today, Securin’s VI platform has been described as one of the best AI-powered cybersecurity tools available, as it offers a comprehensive spectrum of vulnerability information to security teams. The platform employs a custom Vulnerability Risk Score (VRS) which assesses each vulnerability’s risk based on exploitability, threat associations, and potential impact. The VRS incorporates vulnerability maturity, exploit impact, trends, and associated threats enabling security teams to prioritize critical vulnerabilities for remediation. Backed by 750+ different data sources, including threat feeds, social media discussions, and pen testing experience, Securin’s VI platform has been touted as the industry’s most accurate measure for emerging threats and weaponized vulnerabilities.
Securin’s cybersecurity analysts curate Securin VI’s early warning predictions to help organizations implement proactive cybersecurity measures and stave off breaches, data loss, and downtime while maintaining operational resilience.
In an era where AI-powered cyberattacks are on the rise, embracing AI-driven cybersecurity managed services becomes paramount. The surge in AI-powered cybercrime is evident from the FBI’s reported 69% increase in cybercrime incidents during 2020. To effectively thwart these threats, organizations must keep stride with AI innovation, transitioning from reactive to proactive cybersecurity methodologies. Embracing AI-driven cybersecurity managed services yields the benefit of early warnings, empowering pre-emptive measures over reactive responses to security breaches. This paradigm shift is essential for organizations to effectively secure their digital assets and build a resilient security posture amid the evolving threat landscape.
Securin VI in Action
Securin VI’s predictive intelligence can flag dangerous vulnerabilities even before they are used in attacks or added to CISA’a KEV catalog. To see Securin’s VI in action, request a demo.