Only AI-equipped Teams Can Save Data Leaks From Becoming the Norm for Global Powers

In a shocking revelation, a massive data leak has exposed sensitive personal information of over 1.6 million individuals, including Indian military personnel, police officers, teachers, and railway workers. This breach, discovered by cybersecurity researcher Jeremiah Fowler, included biometric data, birth certificates, and employment records and was linked to the Hyderabad-based companies ThoughtGreen Technologies and Timing Technologies.

While this occurrence is painful, it is far from shocking.

The database, containing 496.4 GB of unprotected data, was reportedly found to be available on a dark web-related Telegram group. The exposed information included facial scans, fingerprints, identifying marks such as tattoos or scars, and personal identification documents, underscoring a growing concern about the security protocols of private contractors who manage sensitive government data.

The impact of such breaches goes far beyond what was capable years ago. In the past, stolen identity would have led to the opening of fake credit cards or other relatively containable incidents. Today, a stolen identity that includes biometric data or an image with personal information is enough for threat actors to create a deep fake and sow confusion amongst personal and professional colleagues. This allows unauthorised personnel to gain access to classified information from private businesses and government agencies, posing a significant risk to national security.

Deepfakes even spread fear throughout southeast Asia, specifically during India’s recent Lok Sabha, during which 75% of potential voters reported being exposed to the deceitful tool.

The Risks of Outsourcing Cybersecurity

Governments increasingly rely on private contractors to manage and store vast amounts of sensitive data. However, this reliance comes with significant risks. Private firms often lack the robust cybersecurity measures that government systems can implement.

However, with India continuing to grow as a digital and cybersecurity powerhouse, the hope was that outsourcing the work would save taxpayers money while providing the most advanced technology possible.

However, a breach risks infecting popular software or other malicious actions such as those seen in other supply chain attacks, which are a stark reminder of the need for stringent security measures and regular audits of third-party vendors.

To Know More, Read Full Article @ https://ai-techpark.com/ai-secures-global-data/

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Fortinet Completes Acquisition of Lacework

Fortinet® (NASDAQ: FTNT), the global cybersecurity leader driving the convergence of networking and security, today announced that it has completed the acquisition of Lacework, a cloud security and cloud-native application protection platform (CNAPP) trailblazer, effective August 1, 2024.

“The addition of Lacework aligns with Fortinet’s commitment to protect our customers with innovative solutions that provide consistent security across on-premises and cloud environments,” said Ken Xie, Founder, Chairman of the Board, and CEO at Fortinet. “Integrating Lacework’s organically developed cloud-native platform with the Fortinet Security Fabric will result in the most comprehensive, full-stack AI-driven cloud security platform available from a single vendor.”

Like Fortinet, Lacework is an innovation-first company that has invested significantly to build, from the ground up, an integrated cloud security solution that adds meaningful value to customers. Lacework has been recognized for its leading technology by industry analysts and was recently named a representative vendor in the 2024 Gartner Market Guide for Cloud-Native Application Protection Platforms.1 In addition to advanced technology, Fortinet has gained a portfolio of 225 patents and applications, many related to cloud security and artificial intelligence, which reflects the innovation focus and will bring Fortinet’s global patent and application count to over 1,800, estimated to be more than the nearest three pure-play security vendors combined. This acquisition also brings an experienced sales team and a talented group of engineers whose expertise will be instrumental in delivering industry-leading solutions to Fortinet’s customers.

Read Full News @ https://ai-techpark.com/fortinet-completes-acquisition-of-lacework/

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NETSCOUT Expands IT Observability for the Digital Edge

NETSCOUT SYSTEMS, INC. (NASDAQ: NTCT), a leading provider of performance management, cybersecurity, and DDoS attack protection solutions, today introduced its new suite of Business Edge Observability products, including the nGenius Edge Sensor and Remote InfiniStreamNG solutions to deliver IT observability for remote locations at the digital edge. As the prevalence and importance of mission-critical applications and services expand at remote sites, like retail stores, manufacturing facilities, banks, utility companies, hospitals, and government offices, proactive, deep-dive observability is more critical in reducing business risk.

Recent research from the Uptime Institute points to the painful costs of outages. 16% of respondents stated their most recent outage cost more than $1 million, and 54% said costs exceeded $100,000, reinforcing the need for automating IT operations so mission-critical applications and data can be available locally.

“With the rise of edge computing, IoT solutions, front-line interactions, perimeter threats, and hybrid workers, detailed visibility into remote resources, exchanges, and application experiences is more critical than ever,” said Mark Leary, research director, network analytics and automation, IDC. “Key functions such as scalable deep packet inspection and synthetic transaction testing provide comprehensive views and valuable control mechanisms for the digital infrastructure, bolstering operational efficiency, worker productivity, customer satisfaction, security posture, and, ultimately, financial performance.”

Read Full News @ https://ai-techpark.com/netscout-expands-it-observability-for-the-digital-edge/ 

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The Algorithmic Sentinel: How AI is Reshaping the Cybersecurity Landscape

The ever-evolving digital landscape presents a constant challenge in the face of cyber threats. While traditional security methods offer a foundation, their limitations often become apparent. AI & Cybersecurity emerges as a powerful new tool, promising to enhance existing defenses and even predict future attacks. However, embracing AI necessitates careful consideration of ethical implications and fostering harmonious collaboration between humans and algorithms. Only through such mindful implementation can we build a truly resilient and secure digital future.

The digital frontier has become a battleground teeming with unseen adversaries. Cybercriminals, wielding an arsenal of ever-evolving malware and exploits, pose a constant threat to critical infrastructure and sensitive data. Traditional security methodologies, built upon rigid rule sets and static configurations, struggle to keep pace with the agility and cunning of these digital attackers. But on the horizon, a new solution emerges: Artificial intelligence (AI).

The Evolution of AI in Cybersecurity

AI-powered solutions are rapidly transforming the cybersecurity landscape, not merely enhancing existing defenses, but fundamentally reshaping the way we understand and combat cyber threats. At the forefront of this revolution lie cognitive fraud detection systems, leveraging machine learning algorithms to scrutinize vast datasets of financial transactions, network activity, and user behavior. These systems, adept at identifying irregular patterns and subtle anomalies, operate at speeds that surpass human analysis, uncovering fraudulent activity in real-time before it can inflict damage.

Gone are the days of rule-based systems, easily circumvented by attackers. AI-powered algorithms, in perpetual self-improvement, evolve alongside the threats. They learn from prior attacks, adapting their detection models to encompass novel fraud tactics and emerging trends. This approach significantly surpasses the static limitations of conventional methods, reducing false positives and ensuring a more resilient, adaptive defense.

The future of cybersecurity is intricately intertwined with the evolution of AI. By embracing the transformative potential of these algorithms, while remaining mindful of their limitations and fostering a human-centric approach, we can forge a future where the digital frontier is not a battleground, but a safe and secure terrain for innovation and progress. The algorithmic sentinel stands watch, a powerful ally in the ongoing quest for a more secure digital world.

To Know More, Read Full Article @ https://ai-techpark.com/evolution-of-ai-in-cybersecurity/

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