T.E.N. Knowledge Base

Agile Security at the Speed of Modern Business> Download Whitepaper
Modern elastic computing is the single most disruptive force for IT organizations in the last decade. And while it has been an amazing catalyst for business growth and innovation, it has also placed Chief Information Security Ofcers (CISOs) in the uncomfortable position of slamming on the brakes for the sake of security. The highly distributive, elastic and on-demand nature of Infrastructure-as-a-Service (IaaS) has also resulted in unprotected workloads, shaky compliance postures and limited visibility into virtual infrastructure. It has also fragmented the tools needed to secure all corporate infrastructure, leaving security teams inundated with too many overlapping solutions that don’t always play nice together.

The good news is that new, agile security platforms can help CISOs overcome these challenges and allow businesses to take full advantage of modern computing models. A truly agile security solution implements orchestration and automation to keep up with diverse, fuid and fast-moving infrastructures. It delivers comprehensive security and compliance capabilities that can be instantly provisioned to both traditional and virtualized datacenters, as well as private, public and hybrid cloud environments. It is built on an open, holistic platform that integrates with existing security and orchestration tools. And it scales to support a high growth infrastructure without penalizing processing power and driving up cost.

Agile security can empower CISOs and their teams to move at the speed of modern business and become enablers of innovation and growth. It puts security and compliance teams in a position to embrace elastic infrastructures and align security objectives with the strategies and objectives of the business

Behavior Analytics – Securing IP> Download Whitepaper

Cyber Security ≠ Data Theft Prevention> Download Whitepaper
After two years of mega data breaches, distinguished by the release of sensitive information insiders have stolen and frequently released to the public, organizations are rebuilding their defenses. These defenses are focused on improved cyber security tools and procedures, concentrating on the patterns of data moving on the physical network. Cyber security solutions, however, only analyze the data in a superficial manner, ignoring the critical significance the data’s content carries and its importance to an organization’s mission, thereby failing to consider the consequences when an insider performs data theft. To tackle the appearance of an organization’s sensitive data or ideas on the “dark web”, and other aspects of the growing data breach problem, a new type of data theft detection is emerging. This new capability applies a fundamentally deeper level of analysis to the organization’s internal data and relevant public data. This capability provides entirely new insights and defenses to an organization’s security team.

Flip The Odds: Using Active Breach Detection Against Advanced Attackers> Download Whitepaper
Advanced atacks such as the well publicized breaches against Target, Home Depot, JP Morgan Chase, and Sony Pictures have proven that today’s atackers have the odds stacked in their favor. Atackers can launch unlimited intrusion atempts, consequence-free, untl they fnd a successful technique to circumvent a target company’s preventon systems. IT security operators meanwhile have to deploy and manage IT security infrastructure to stop every single intrusion atempt, or face the consequence that an atacker gains unfetered access to the corporate network. In short, the “bad guys” have unlimited opportunites with no risk, and the IT security “good guys” have to be right every single tme. Not a very enviable positon.

The rising success of targeted atacks in the past two years challenges us to determine how to fip the odds on the atacker. Twenty years of experience with threat preventon systems tells us that we can’t reliably and comprehensively stop all intrusion atempts with systems like NGFW’s, IPS, AV, Sandboxing and Endpoint Protecton technologies. Presuming that targeted atackers can and will contnue to successfully penetrate the network, and given that such intrusion is only an early step towards the goal of thef or damage, the obvious queston should be can we build an internal security system to reliably detect actve atackers once they have landed on the network? Can we stop atackers in their tracks?

We believe the answer is a resounding yes.

Using Deep Learning to Detect Threats> Download Whitepaper
Everyday the headlines reflect the severity, and challenge of data breaches and network compromises from APT’s or Advanced Persistent Threats. Nobody is immune. Inside risks, threats and vulnerabilities exist today within most enterprises, and vigilant defense and adaptive detection requires a new approach and paradigm.

Traditional security monitoring solutions rely on brittle, signature based perimeter defenses, which today’s sophisticated malware can evade through a variety of methods. Furthermore, in an effort to enable collaboration and agility across today’s enterprise, the perimeter is dissolving quickly. Also, threats and risks continually change and transform, so keeping perimeter checkpoints up to date can be an arduous task for any service provider or organization.

On their own, low-level behaviors, or signals, and subtle indicators would go unnoticed, and are difficult to detect and investigate at scale cost effectively. Yet in aggregate, these can signify a salient risk, Indication of Threat or Compromise.

The ramifications associated with a breach can be enduring; reputation, top line revenues and many other undesirable outcomes ensue. Most organizations realize their network is compromised, and instead are focusing on minimizing the consequences associated with an inevitable breach.

Addressing these threats requires a new approach and paradigm for network security, continuously monitoring, adapting and learning through experience, improving detection accuracy, reducing “false positives”, and arming your security team with real time prescriptive guidance on which priorities to investigate is essential.