DATA SECURITY, PLATFORM SECURITY, SOFTWARE SECURITY
Prnewswire | March 27, 2023
Vectra AI, the leader in AI-driven hybrid cloud threat detection and response, today announced the introduction of Vectra Match. Vectra Match brings intrusion detection signature context to Vectra Network Detection and Response (NDR), enabling security teams to accelerate their evolution to AI-driven threat detection and response without sacrificing investments already made in signatures.
"As enterprises transform embracing digital identities, supply chains and ecosystems - GRC and SOC teams are forced to keep pace. Keeping pace with existing, evolving and emerging cyber threats requires visibility, context and control for both known and unknown threats. The challenge for many security organizations is doing so without adding complexity and cost," says Kevin Kennedy, SVP Products at Vectra.
With the addition of Vectra Match, Vectra NDR addresses core GRC and SOC use cases enabling more efficient and effective:
Correlation and validation of threat signals for accuracy.
Compliance for network-based CVE detection with compensating controls.
Threat hunting, investigation and incident response processes.
"CISOs and their SOC teams across Asia Pacific are working with a challenging lack of visibility across their hybrid cloud environments, as attackers continue to evolve. Vectra NDR now enables security teams to unify signatures for known threats and AI-driven behavior-based detection for unknown threats in a single solution," comments David Sajoto, Vice President Vectra Asia Pacific Japan.
According to Gartner®, "recent trends in the NDR market indicate many NDR offerings have expanded to capture new categories of events and to analyze additional traffic patterns. This includes new detection techniques: by adding support for more traditional signatures, performance monitoring, threat intelligence and sometimes malware detection engines. This move toward more multifunction network detection aligns well with the use case of network/security operations convergence, but also with midsize enterprises."1
"The attack surface cyber attackers have at their disposal continues to grow exponentially creating unknown threats on top of the tens of thousands of known vulnerabilities that exist. Attackers simply have exponentially more ways to infiltrate an organization and exfiltrate data -- and do so with far more frequency, velocity and impact. Keeping pace with attackers exploiting known vulnerabilities and unknown threats is an immense challenge for every Security, Risk and Compliance officer," says Ronald Heil, Global Risk Advisory Lead for Energy and Natural Resources and Partner at KPMG Netherlands. "Today, cyber-resilience and compliance requires complete visibility and context for both known and unknown attacker methods. Without it, disrupting and containing their impact becomes an exercise in brand reputation and customer trust damage control. Vectra Match capabilities allow us to combine both worlds, having the continued AI-based detection of real-time "movement", while also having the ability to check against specific Suricata indicators -- often required during incident response or proof of compliancy (e.g., Log4J). Consolidating AI-based and signature-based detection enables optimization, because in our case, less is more."
"When it comes to shadow IT, we know people with admin rights are 'building boxes off the grid.' Our SOC team cannot protect what we cannot see, thus making these unknown systems prime targets for attackers. No doubt, behavior-based AI-driven detections are great for catching attackers deploying new, evasive methods, but when it comes to attackers leveraging CVEs to compromise unknown, unpatched systems, we need signature-based detection. Combining signature-based detection with behavior-based detection gives our SOC team visibility for both the known-unknown and unknown-unknown threats. It's the best of both worlds," says Brett Fernicola, Sr. Director, Security Operations at Anywhere.re.
Vectra NDR with Vectra Match
Vectra NDR - a key component of the Vectra platform - provides end-to-end protection against hybrid and multicloud attacks. Deployed on-premises or in the cloud, the Vectra NDR console is a single source of truth (visibility) and first line of defense (control) for attacks traversing cloud and data center networks. By harnessing AI-driven Attack Signal Intelligence, Vectra NDR empowers GRC and SOC teams with:
AI-driven Detections that think like an attacker by going beyond signatures and anomalies to understand attacker behavior and zero in on attacker TTPs across the entire cyber kill chain post compromise, with 90% fewer blind spots and 3x more threats proactively identified.
AI-driven Triage that knows what is malicious by utilizing ML to analyze detection patterns unique to the customer's environment to score how meaningful each detection is, thus reducing 85% of alert noise - surfacing only relevant true positive events that require analyst attention.
AI-driven Prioritization that focuses on what is urgent by automatically correlating attacker TTPs across attack surfaces, evaluating each entity against globally observed attack profiles to create an attack urgency rating enabling analysts to focus on the most critical threats to the organization.
Vectra NDR empowers security and risk professionals with next-level intrusion detection. Armed with rich context on both known and unknown threats, GRC and SOC teams not only improve the effectiveness of their threat detection, but the efficiency on their threat hunting, investigation and incident response program and processes. Vectra NDR with Vectra Match is available for evaluation and purchase today. For additional information, please visit the following resources.
Vectra® is the leader in Security AI-driven hybrid cloud threat detection and response. Only Vectra optimizes AI to detect attacker methods - the TTPs at the heart of all attacks - rather than simplistically alerting on "different." The resulting high-fidelity threat signal and clear context enables cybersecurity teams to rapidly respond to threats and stop attacks from becoming breaches. The Vectra platform and services cover public cloud, SaaS applications, identity systems and network infrastructure - both on-premises and cloud-based. Organizations worldwide rely on the Vectra platform and services for resilience to ransomware, supply chain compromise, identity takeovers, and other cyberattacks impacting their organization.
ENTERPRISE SECURITY, SOFTWARE SECURITY, CLOUD SECURITY
Prnewswire | June 02, 2023
Safe Security (SAFE), the leader in AI-based cyber risk management SaaS platform, announced today the industry's first Cyber Risk Cloud of Clouds for predicting and preventing cyber breaches. In contrast to the rest of the industry that takes a reactive approach, SAFE's Cyber Risk Cloud of Clouds enables organizations to make informed and predictive dynamic security decisions to reduce risk.
Real-Time, Data-Driven, Aggregated Risk in a Single Place
SAFE's Cyber Risk Cloud of Clouds provides organizations with a granular and aggregated view of enterprise security risk by bringing together multiple disparate cyber signals, including Crowdstrike, Wiz, AWS, Azure, Google Cloud Provider, Qualys, Tanium, Rapid7, ServiceNow, and more in a single view. This provides organizations with visibility across their entire attack surface ecosystem, including technology, people, and third parties.
AI Breach Predictions and Prioritized Actions to Prevent Breaches
Using SAFE's predictive AI data models, co-developed with MIT, SAFE generates breach likelihood for different risk scenarios like ransomware. For example, accurately answer questions like:
How likely are you to be hit by a ransomware attack in the next 12 months?
What is your likelihood of being hit by the latest malware like "Snake" malware?
What is your dollar impact for that attack?
What prioritized actions can you proactively take to reduce the ransomware breach likelihood and reduce dollar risk?
"The CISO is facing an unprecedented level of pressure and the role has evolved into a major business decision maker. With SAFE, CISOs can gain a new level of visibility with higher confidence, through real-time access into their cybersecurity posture, to make the most impactful strategy to decrease cyber risk," said Saket Modi, CEO and Co-Founder of SAFE. "The new release of SafeGPT, a generative AI interface, powered by LLM models is a game-changer. It helps CISOs get the right answers a hundred times faster."
SafeGPT Drives Easy Access and Risk Reducing Decisions
SAFE's generative AI chat interface powered by LLM models, SafeGPT, offers an intuitive platform for managing cyber risk with ease, providing stakeholders with a clear and comprehensible overview of the organization's cybersecurity posture. With its user-friendly dashboard and natural language processing capabilities, SafeGPT enables users to ask targeted questions of their cyber risk data, determine the most effective strategies for mitigating risk, and respond confidently to inquiries from regulators and other key stakeholders.
"The market transitions going on now are going to affect every industry and vertical worldwide," said John Chambers, former Executive Chairman and CEO of Cisco and current founder and CEO of JC2 Ventures." AI is going to have a tremendous impact on cybersecurity, which is why I am excited about the launch of SafeGPT. It simplifies complex problem-solving for board members and C-level executives."
About Safe Security
Safe Security is the leader in cyber risk management SaaS platforms. It has redefined cyber risk measurement and management with its real time, data driven approach that empowers enterprises, boards, regulators and cyber insurance carriers to understand cyber risk in an aggregated and granular manner.
Using SAFE's predictive AI driven data models, co-developed with MIT, customers are now empowered to translate the bits and bytes of cyber risk into dollars and cents so that they can prioritize their cyber investments to most effectively mitigate their risk and understand the return on security investments. Having raised over $100m, SAFE is growing over 200% year-over-year and serves some of the largest global enterprises.
DATA SECURITY, ENTERPRISE SECURITY, SOFTWARE SECURITY
Businesswire | May 03, 2023
Veza, the authorization platform for data security, today announced Veza for SaaS Apps, a solution to deliver access security and governance across SaaS applications, including Salesforce, JIRA, Coupa, Netsuite, GitHub, Gitlab, Slack, and Bitbucket. The solution allows customers to automate access reviews, find and fix privilege access violations, trim privilege sprawl, and prevent SaaS misconfigurations. With this solution, Veza secures the attack surface associated with SaaS apps while enabling continuous compliance with frameworks like Sarbanes-Oxley, ISO 27001, SOC 2, and GDPR.
Organizations today maintain an average of 125 different SaaS applications, costing $1,040 per employee annually, according to Gartner’s 2022 Market Guide for SaaS Management. As SaaS grows in popularity, security and identity teams are under pressure to manage security risks associated with the spread of data in these apps.
“SaaS applications are everywhere, holding sensitive data like customer lists, financials, and employee data. This is a new attack surface for the threat actors who misuse identity,” said Tarun Thakur, CEO and co-founder of Veza. “Conventional IAM techniques like authentication are not enough to secure access to data in SaaS apps. We are excited to introduce Veza for SaaS Apps to help our customers protect sensitive data against credential theft, malicious attacks and accidental exposure, putting SaaS access security within reach.”
The Veza solution includes integrations to 15 popular SaaS applications, including Salesforce, JIRA, Confluence, Coupa, Netsuite, GitHub, Gitlab, Slack, and Bitbucket. Because Veza uses an out-of-band approach to integrate with apps and systems, customers can integrate in less than a day, unlocking unprecedented visibility and control in just hours.
“Using Veza, we have been able to achieve end-to-end visibility over access permissions across our enterprise app stack, including Salesforce,” said Brian Miller, Director, Security Governance, Risk and Compliance at Achieve. “As our customer base continues to expand, Veza helps us maintain least privilege over sensitive financial customer data, giving us the confidence to adopt new apps at lightspeed.”
Capabilities of the Veza solution include:
Privileged Access Monitoring. Veza alerts security teams when there are new grants of privileged access and privilege drift in SaaS apps, such as new local admins in Salesforce. Veza monitors both human identities and machine identities like service accounts and third-party integrations.
User Access Reviews and Entitlement Certifications. Veza automates the identity governance and administration process of periodic access reviews, using workflow rules to route requests for certification and providing decision-makers with authorization context to choose the least-permissive role. Veza makes it possible to graduate from periodic batches to “continuous compliance.”
SaaS Misconfigurations. Veza monitors SaaS apps for administrative misconfigurations and policy violations with over 100 pre-built queries to monitor and detect common misconfigurations in permissions and access controls. For example, Veza alerts the security team when users have access to sensitive data but do not have MFA (multi-factor authentication) enabled.
SaaS applications contain sensitive data. Securing the access to this data in SaaS apps is complicated given the application-specific RBAC (role-based access control) that grants permissions to humans and services. Because security teams can’t see the reality of who can do what with data, SaaS apps are vulnerable to privilege sprawl and risky misconfigurations. The Veza Authorization Platform creates a comprehensive graph of identity-to-data by ingesting and organizing the authorization metadata (RBAC) from SaaS apps, cloud providers, data systems, and identity providers.
Veza is the authorization platform for data security. Identity and security professionals use Veza to modernize access governance for the new data and SaaS apps landscape. By automating the work of finding and fixing excessive permissions on a continuous basis, Veza helps organizations achieve Least Privilege. Veza’s unique approach ingests metadata from any SaaS app or data system, organizes it as an authorization graph, and makes it searchable in real-time. Global enterprises like Blackstone, Wynn Resorts, and Expedia trust Veza to protect sensitive data and automate access reviews. Founded in 2020, Veza is headquartered in Los Gatos, California, and is funded by Accel, Bain Capital, Ballistic Ventures, GV, Norwest Venture Partners, and True Ventures. Visit us at veza.com and follow us on LinkedIn, Twitter, and YouTube.