DevSecOps tools such as GitLab's One DevOps Platform plan to inject AI into developer workflows to shore up secure coding, a shift IT pros and analysts say is timely as security AI becomes more popular. In IT and security operations, AIOps tools can reduce the number of alerts IT pros must respond to or narrow down the root cause of incidents as distributed cloud-native infrastructure grows more and more complex. The same kind of overload that's led IT ops teams to embrace artificial intelligence and machine learning has creeped into the developer side of the DevSecOps model as well, according to IT analysts. "Cloud services and modern software development processes, such as microservices application architectures, create a much greater scale of software releases and attack exposures," said Melinda Marks, an analyst at Enterprise Strategy Group, a division of TechTarget. "That, coupled with the cybersecurity skills gap, means that they are looking for ways to reduce tedious, manual tasks to work more efficiently and reduce staff burnout." The movement to shift security left into DevOps workflows is bringing along applications for AI assistance as well, from vendors such as Palo Alto Networks' Prisma Cloud and GitLab.

Darktrace plans to expand its AI-powered security offerings to include attack prevention by the end of 2021, the company told VentureBeat. On Tuesday, executives from the company described plans for upcoming product updates that will expand the Darktrace portfolio to include proactive security AI capabilities, joining the company's detection and response technologies. The upcoming launch of "prevent" capabilities will extend Darktrace "into the offensive area for the first time ever," said Nicole Eagan, chief strategy officer and AI officer at Darktrace, while speaking at the virtual Gartner Security & Risk Management Summit -- Americas conference on Tuesday. In a statement provided to VentureBeat, Eagan said that "development of this breakthrough innovation known as our'prevent' capability is on track, and we expect this to be released to early adopters by the end of this calendar year." Founded in 2013, the Cambridge, U.K.-based firm went public in April and now has a market capitalization of $4.25 billion.

In practice, Johnson said, that means "using a lot of artificial intelligence and machine learning to understand what the data actually is and to …

In the world of cybersecurity, speed kills. In less than 20 minutes, a skilled adversary can break into an organization's network and start exfiltrating critical data assets, and as the volume of data modern companies produce increases, it's becoming ever more difficult for human analysts to spot malicious activity until it's too late. This is where cybersecurity AI can come to the rescue. This hostile threat landscape has led organizations such as Microsoft to use AI as part of their internal and external cybersecurity strategy. "We're seeing this incredible increase in the volume of attacks, from human-operated ransomware through all different kinds of zero-day attacks," said Ann Johnson, corporate vice president of security, compliance, and identity at Microsoft.

Are you interested in, worried about, or already planning to implement intelligent automation for security purposes? I have clients who do that already--and, may I say, they do it well. A good example is when a well-tested, tuned and statistically validated machine learning model is used to reduce insurance fraud. Whilst still difficult, the value of automating security-related actions is high. I explain how to get started, how to prepare your data, and how the two fundamental ML approaches, supervised vs unsupervised, can work for a security application.

Newswire) Patriot One Technologies Inc., (TSX: PAT) (OTCQB: PTOTF) (FRANKFURT: 0PL) ("Patriot One" or the "Company"), developer of the PATSCAN Multi-Sensor Covert Weapon Detection Platform ("PATSCAN Platform"), is pleased to announce the acquisition of XTRACT Technologies Inc. ("XTRACT") and all its related interests, assets, and intellectual property for consideration of $6,000,000 and the issuance of 9,422,956 Patriot One common shares (the "Consideration Shares") to XTRACT's former shareholders (the "Transaction"). Subject to certain exceptions based on the business of the Company or the performance of the Company's common share price, the Consideration Shares will be subject to escrow restrictions and released on a quarterly basis over the next twelve consecutive fiscal quarters of Patriot One. The Transaction follows demonstrated success of an ongoing collaborative project between the two firms that was announced in late July 2019. The XTRACT acquisition is part of an ongoing strategic initiative by the Company to bring together leading-edge technologies and services that will enhance the power of its PATSCAN Platform, which offers a layered, multi-sensor approach to concealed threat and disturbance detection. "Just over a month ago, we announced a development project with XTRACT, and during this period we've already seen great progress in significant opportunities for enhanced detection accuracy" said Martin Cronin, Patriot One's CEO and President.

Artificial intelligence applied to information security can engender images of a benevolent Skynet, sagely analyzing more data than imaginable and making decisions at lightspeed, saving organizations from devastating attacks. In such a world, humans are barely needed to run security programs, their jobs largely automated out of existence, relegating them to a role as the button-pusher on particularly critical changes proposed by the otherwise omnipotent AI. Such a vision is still in the realm of science fiction. AI in information security is more like an eager, callow puppy attempting to learn new tricks – minus the disappointment written on their faces when they consistently fail. No one's job is in danger of being replaced by security AI; if anything, a larger staff is required to ensure security AI stays firmly leashed.

Since computers first became useful tools, there has been malware to infect them. In the nearly 50 years since the first virus emerged, cyber-criminals have become smarter and sneakier, developing more powerful and less detectable methods of entering devices and stealing information. Fortunately, cyber-defenses have also improved in that time. Now, every day brings an improvement to one side or the other, and both sides' weaponry has become so efficient that any slight edge seems significant. Unfortunately, a problem is developing -- a problem that will undoubtedly impact all aspects of modern civilization, but cyber security first: artificial intelligence. Machines that can gather data, analyze it for trends, and make accurate predictions are undeniably formidable tools, especially in the fast-paced cybersecurity war.

Whatever the industry or application, it seems that any attempt at future-gazing around technology today will inevitably turn to the impact of artificial intelligence (AI). From automated customer support and targeted marketing to self-driving vehicles and even the field of war, AI has huge potential in almost every aspect of our professional and personal lives. In the security industry, AI is being looked to in order to create the ultimate solution for advanced cyber-attacks. This vision of security nirvana involves the arrival of a system so sophisticated that it can detect and shut down an attack before us mere humans are even aware there was a threat at all. In many applications, the impending advent of AI has proven to be a controversial idea, with debate frequently turning to nightmarish outcomes like the malevolent and murderous Skynet or HAL 9000.

Google's security AI has become so smart, it can now tell whether you're a human or a robot without asking you to check a box or solve annoying puzzles… most of the time, anyway. We've all come across CAPTCHAs, those challenges that ask you to type in the characters you see in scrambled images (the a acryonym means Completely Automated Public Turing test to tell Computers and Humans Apart). As bots and spammers became more sophisticated, it seemed CAPTCHA's were getting harder and harder for even regular old humans to solve. It was a small annoyance, but an annoyance nonetheless. We're covering the weird and wonderful tech at SXSW, join us in the fun.