The PerformanceNet/REMTCS' computing platform has been purpose
built to accomplish its designated tasks in real-time in an environment
with countless variables changing on an hourly.
The HPC platform makes use of specially designed hardware clusters
that use general purpose computing on Graphical Processing Units
(GPUs) and field programmable gate array (FPGA) cards. This design
provides high performance computing without the use of
supercomputing hardware. The developers’ vast experience with
financial trading system and market data backgrounds allow them to
continuously enhance the HPC platform. This has, thus far resulted in a
system with an increase of 2000 - 2500% in performance coincident
with the use of less power and less space than slower supercomputers.
ANNI PASS (ProActive Security Solution)
The use of virtual application containers in memory maximizes the efficiency
of I/O sources. This results in end-to-end processing times thousands of
times faster than standard CPUs writing and reading from disk. The REMTCS
technology overcomes the high demand of conventional CPUs on the I/O
system including network, storage, databases and other inputs/outputs.
The HPC hardware has been installed and operational on trading floors for
over six (6) years without a single failure.
To defend against zero-day attacks, malware variants and unpermitted access to data, your cybersecurity
solution must operate in real-time and utilize high speed computing and artificial intelligence.
ANNI software incorporates a neural network design
that resembles the neurological connections in the
brain. ANNI creates nodal connections as the learning
or rendering process occurs. The rendering process
builds the IT infrastructure and IT “use” profiles of the
enterprise’s cyber environment. Every element of the IT
infrastructure and its users and their use of IT become
known to ANNI. ANNI immediately recognizes any
anomalies to these profiles and acts on them to protect
against a breach or misuse of IT resources.
Current system recognizing an attack or breach can
sandbox or quarantine the attacking agent and notify or
report out the attack. This allows the cybersecurity
team to examine the attack and determine if it is a real
threat and if it has caused a breach. Typically less than
5% of all anomalies or threats are assessed. This is due
to the inability of the cyber team to deal with the large
number of alerts that are received on a daily basis.
According to a Ponemon Institute study from January 2015, “The Cost of Malware Containment” there is an extrapolated average of 16,937
alerts per day for the average company in the study. Of these 3,218 (19%) are considered to be valid. Of these the cyber team selects 705
(22%) for analysis. This means that 96% of all alerts are ignored and 78% of valid threats are not examined. ANNI responds to and analyzes
every attack, real or false is analyzed and responds and reported as necessary. ANNI even provides attribution of the source at an FBI
evidentiary level. ANNI is the equivalent of 16 senior analysts working 24/7/365. It is more than likely that malware currently exists within your
IT enterprise, but as yet has not been activated or recognized. Once malware is found, it takes cybersecurity vendors up to a year to update
their systems, and therefore your system. ANNI automatically examines all alerts and takes appropriate action on each one. There is no need for
the cyber team to determine which are valid and which require analysis. ANNI writes its own zero-day code which is the equivalent of “patching”
itself as soon as the attack is recognized, analyzed and validated. Your systems are protected within 40 micro seconds of the attack and the
breach is prevented. ANNI provides your organization with the equivalent of 16 of the most senior cyber analysts working 24/7/365 without
coffee breaks and vacations or the possibility of leaving for a bigger paycheck.
Your cybersecurity system has a single, cumbersome algorithm to deal with all attacks. ANNI has over 190 algorithms designed to mimic the
search-and-destroy behavior of human antibodies. The algorithms are stacked and sequenced allowing ANNI to “learn” so that variants to known
threats as well as unknown or new threats are detected. ANNI’s software system uses open source Encog, Prolog, and other machine learning
technologies in combination with PerformanceNet/REMTCS’ proprietary cluster, or combinatoric sets, of algorithms to achieve the optimal
learning of patterns. (Combinatorics is a branch of mathematics concerning the study of finite or countable discrete structures.)
ANNI-PASS implementations can “learn” from each other. An attack launched and recognized at one implementation can be reported such that
all ANNI-PASS implementations can be almost immediately updated. This reduces every implementation’s vulnerability to attack.
Cyber Security Solution Suite Offferings
ANNI PASS (ProActive Security Systems)