Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Operations

Artificial Intelligence & the Security Market

A glimpse into how two new products for intrusion detection and entity resolution are using AI to help humans do their jobs.

Machine learning, advanced heuristics, or artificial intelligence: the language is shifting but the idea that computers are taking a greater role in automating security functions is moving straight ahead. Two new product announcements demonstrate that direction in very different ways.

Aella Data and Senzing each brings a product based on AI technology to market, and in some ways the products could not be more different in purpose, intended audience, or business model. But both share a critical similarity: Each uses AI to correlate data from many different sources to present information that assists humans in doing their jobs.

Aella Data came out of stealth mode just before this year's RSA Conference. The company's product, Starlight, is billed as a virtual security analyst able to perform a breach detection across massive networks. This week, the company added multi-tenancy to the product in Starlight 2.0, which is aimed at managed security service providers that want to add the capability to the set offered to their customers, or very large enterprises that need a single intrusion alert system that can scale to global size.

In a demonstration for Dark Reading, Aella Data showed the capability to monitor and analyze data on a customer-by-customer basis while also aggregating total provider network data for the MSSP staff. A graphical interface showed alerts and warnings while also pointing staff at details such as known and suspected malware C&C servers accessed from within the network, network activity by individual endpoint devices, and both known and suspected malware active on the network.

While Starlight is intended to augment the expertise and activity of human security staff, Senzing Software "hunts for bad guys" in ways that are essentially impossible for humans to duplicate. The company's software uses AI for non-obvious relationship awareness in the service of entity resolution — essentially, figuring out whether a group of entries that might share some characteristics are actually all one entity.

Senzing, spun out of IBM two years ago and coming out of stealth this week, is led by founder and CEO Jeff Jonas, a  former IBM Fellow and chief scientist of context computing.  Jonas spoke to Dark Reading in a telephone interview, and says that the technology the company's products are built on can be used to resolve multiple intrusion attempts to an actual individual or organization, clean up a heavily-duplicated contact list, or de-duplicate entries in a state's voter registration roll.

"The AI technology required for entity resolution uses entity-centric learning," Jonas says, explaining that, in the Senzing software, "entities are only snapped together if the system is sure  — [and] uncertainty is scored as a "possible match" that can then be reviewed by human operators.

Asked about the difference between machine learning and AI, Jonas says that machine learning involves systems that use new data to make themselves more accurate, while AI describes systems that are "human smart," though he says that intelligence may lie in a very narrow context.

Both Aella Data Starlight and Senzing software are available now. Senzing offers a free version of its software for individuals with up to 10,000 records to match.

Related Content:

Why Cybercriminals Attack: A DARK READING VIRTUAL EVENT Wednesday, June 27. Industry experts will offer a range of information and insight on who the bad guys are – and why they might be targeting your enterprise. Go here for more information on this free event.

Curtis Franklin Jr. is Senior Editor at Dark Reading. In this role he focuses on product and technology coverage for the publication. In addition he works on audio and video programming for Dark Reading and contributes to activities at Interop ITX, Black Hat, INsecurity, and ... View Full Bio

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
Data Privacy Protections for the Most Vulnerable -- Children
Dimitri Sirota, Founder & CEO of BigID,  10/17/2019
Sodinokibi Ransomware: Where Attackers' Money Goes
Kelly Sheridan, Staff Editor, Dark Reading,  10/15/2019
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
7 Threats & Disruptive Forces Changing the Face of Cybersecurity
This Dark Reading Tech Digest gives an in-depth look at the biggest emerging threats and disruptive forces that are changing the face of cybersecurity today.
Flash Poll
2019 Online Malware and Threats
2019 Online Malware and Threats
As cyberattacks become more frequent and more sophisticated, enterprise security teams are under unprecedented pressure to respond. Is your organization ready?
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2019-18214
PUBLISHED: 2019-10-19
The Video_Converter app 0.1.0 for Nextcloud allows denial of service (CPU and memory consumption) via multiple concurrent conversions because many FFmpeg processes may be running at once. (The workload is not queued for serial execution.)
CVE-2019-18202
PUBLISHED: 2019-10-19
Information Disclosure is possible on WAGO Series PFC100 and PFC200 devices before FW12 due to improper access control. A remote attacker can check for the existence of paths and file names via crafted HTTP requests.
CVE-2019-18209
PUBLISHED: 2019-10-19
templates/pad.html in Etherpad-Lite 1.7.5 has XSS when the browser does not encode the path of the URL, as demonstrated by Internet Explorer.
CVE-2019-18198
PUBLISHED: 2019-10-18
In the Linux kernel before 5.3.4, a reference count usage error in the fib6_rule_suppress() function in the fib6 suppression feature of net/ipv6/fib6_rules.c, when handling the FIB_LOOKUP_NOREF flag, can be exploited by a local attacker to corrupt memory, aka CID-ca7a03c41753.
CVE-2019-18197
PUBLISHED: 2019-10-18
In xsltCopyText in transform.c in libxslt 1.1.33, a pointer variable isn't reset under certain circumstances. If the relevant memory area happened to be freed and reused in a certain way, a bounds check could fail and memory outside a buffer could be written to, or uninitialized data could be disclo...