Next generation security intelligence and analytics with integrated cognitive technology
Detect and prioritise threats that pose the greatest risk
Your organisation is challenged to interpret millions of events each day to uncover attacks
The volume of security incidents and available threat data far exceed the capacity of even the most skilled security professional.
Attackers are trying to breach your company's defences, even while you are reading this - using increasingly sophisticated methods to find a way in. Do you have the visibility to stop them?
Introducing integrated advanced cognitive technology
Cognitive security uses intelligent technologies like machine learning and natural language processing to mimic the way the human brain functions. It gets stronger over time, learning with each interaction and getting better at pro-actively stopping threats. The result: Security analysts, armed with this collective knowledge and instinct, can respond to threats with greater confidence and speed.
Attackers are trying to breach your company's defences, even while you are reading this - using increasingly sophisticated methods to find a way in. Do you have the visibility to stop them?
Overcome the unknown
Security professionals live in a world of constant suspense. Threats and attacks hit their organisations from every angle, every minute of every day.
When persistent attackers break in, they move slowly and quietly. They hunt for valuable data and they cover their tracks. In fact, a recent survey found that the mean time to identify an attack was 256 days, while the mean time to contain it was 82 days.
Gone are the days when security teams could just lock down the perimeter, ban many forms of Internet access and fight the latest fire. Today’s organisations demand near-ubiquitous connectivity in order to keep the business moving while simultaneously stopping advanced threats, identifying fraud and rogue insiders, and ensuring continuous compliance.
New requirements call for analysing as much information as possible to detect threatening activities that lurk under the surface - and respond more rapidly. Security Operation Analysts must develop a keen ability to detect deviations from normal activities, and the solutions they choose must be able to scale, reaching every corner of the enterprise with a single, cohesive platform.
We can help you identify and manage the threats that pose the greatest risk to your business and require immediate attention.
Intelligent approach to security analytics helps you find threats faster, dramatically accelerate investigation times, automate compliance, and respond to incidents.
Intelligence
 |
Speed
 |
Accuracy
 |
- Identify high-risk threats with near real-time correlation and behavioural anomaly detection.
- Detect vulnerabilities, manage risks and identify high-priority incidents among billions of data points.
- Gain full visibility into network, application and user activity
Streamline critical capabilities into a common workflow and help the security analyst be more efficient.
At the core of a security analyst's challenge, there is too much data spread across too many tools.
Addressing key use cases
 Advanced and persistent threat detection Automatically identify threats in real time with prioritised view |  Insider threat detection Identify user credential theft, account takeover and misuse |  Critical data protection Identify malicious use and exfiltration of critical data |
Detect insider threats
User Behaviour Analytics - Apply machine learning and behavioural analytics to security data
Gain visibility into insider threats - Guard against rogue insiders and cyber criminals using compromised credentials. Uncover anomalous behaviours, lateral movement, threats and data exfiltration - with a user focus.
- Visibility into behavioural anomalies that may signal an active insider threat.
- Analyses user activity to detect malicious insiders and determine if a user’s credentials have been compromised.
- Add user context to network, log, vulnerability and threat data to more quickly and accurately detect attacks.
- Security analysts can easily see risky users, view their anomalous activities and drill down into the underlying log and flow data that contributed to a user’s risk score.
- Improve analyst productivity - Easily identify risky users. Apply machine learning and behavioural analytics to security data, calculate users’ risk scores and only raise alerts on high risk incidents to reduce alert fatigue.
- Retrace the step-by-step actions of a potential attacker / cyber criminals and quickly and easily conduct an in-depth forensics investigation of suspected malicious network security incidents.
- Reduces the time it takes security teams to investigate offense records, in many cases from days to hours - or even minutes - Save time and lower costs.
- Also help you remediate a network security breach and prevent it from happening again.
Do you want to detect phishing attacks and malware before they can do damage?
Ensure attackers can't hide on your network. Analyse network data in real-time to uncover an attacker’s footprints and expose hidden security threats in many scenarios before they can damage your organisation, including: phishing e-mails, malware, data exfiltration, lateral movement, DNS and other application abuse, and compliance gaps.
Vulnerability management
- Advanced analytics enrich the results of vulnerability scans to lower risk and achieve compliance.
- Prevent security breaches
- A policy engine automates compliance checks.
- Helps your security team develop an optimised action plan to address security exposures to work more efficiently and decrease costs.
- Remediation and mitigation activity prioritisation
- Regulatory compliance automation